You will be responsible for planning and executing audits in the areas of risk management and overall bank control (e.g., ICAAP, ILAAP, risk models and methods). You will also coordinate with internal and external auditors and work closely with the departments being audited.

In addition, you will evaluate the appropriateness and effectiveness of the risk management system, internal control system, and compliance with regulatory requirements (e.g., KWG, MaRisk, CRR/CRD, SAG, MaSanV, relevant EBA guidelines) for internal and outsourced processes.

You will prepare qualified audit reports, agree on audit results with departments and relevant stakeholders, and report to management and the supervisory board.

You will also follow up on the implementation of corrective actions and document them in the audit system.

Furthermore, you will actively contribute to the annual update of the audit universe, risk assessment of audit fields, and creation of the year/multi-year plan.

You will represent the internal audit department in projects, initiatives, and committees and support special audits.

Finally, you will support the development of operational processes (e.g., digital transformation, AI) and the written guidance of the internal audit department.

If you have a strong background in risk management and a keen eye for detail, we encourage you to apply for this exciting opportunity.

As an internal auditor at Ford Credit, you will have the chance to work in a dynamic and innovative environment, collaborate with international teams, and tackle challenging projects.

We offer flexible working models and opportunities for professional development.

At Ford Credit, we value diversity and equality and are committed to creating an inclusive work environment where everyone has the opportunity to succeed.

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Responsibilities:

Apply systems engineering principles to design, specify, analyze and validate diagnostic architecture for the ADAS system Develop and implement diagnostic strategies and architectures for the ADAS system, ensuring diagnostic behavior meets regulatory compliance and corporate standards, while supporting the engineering, manufacturing and service teams Create and validate systems-level diagnostic specifications and behavioral diagrams. Develop troubleshooting guides to support the utilization of implemented diagnostics by the engineering, manufacturing and service teams Support, coordinate, lead root-case analysis with internal functions and suppliers to ensure system achieves expectations Manage diagnostic issue triage, including DTCs, throughout the product lifecycle

Qualifications:

Bachelor’s degree in Electrical, Mechanical, Computer, Software Engineering, Data Science, or a related field 2+ years of experience vehicle systems engineering, including architecture development, requirement definition, failure mode analysis (DFMEA) and related validation sign-off 2+ years of experience with automotive diagnostics (DTCs, DIDs) Strong learning agility, adaptability, and systems thinking Excellent analytical, problem-solving, and troubleshooting skills Proven ability to lead and collaborate within cross-functional teams Effective verbal and written communication skills

Even better, you may have:

Master’s degree in Electrical, Controls, Computer, Mechanical or Systems Engineering or a related field 5+ years of experience vehicle systems engineering, including architecture development, requirement definition, failure mode analysis (DFMEA) and related validation sign-off 5+ years of experience with automotive diagnostics (DTCs, DIDs) Experience with electrical module design, in-vehicle communication protocols (CAN, LIN, Ethernet, UDS), and power distribution Experience with systems engineering or electronic component release engineering during major vehicle build launch milestones Experience with Agile methodologies

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above?

Benefits:

Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year’s Day Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5-8 from $110,000 - $150,000.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

About the Role

OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data.

As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure.

In this role, you will:

• Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation.
• Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics.
• Lead cross-functional launches with infrastructure and research engineering teams, shaping interfaces, migration plans, and safe rollout strategies across large fleets and critical workflows.
• Build or evolve security primitives (identity, attestation, authorization, encryption key lifecycle, access mediation) that become platform building blocks for OpenAI.
• Leverage frontier models and agents to develop automation and detection tooling to continuously identify and mitigate risks in large-scale cloud and on-prem environments.
• Lead design reviews and threat models for major initiatives, and drive closure on systemic issues.
• Mentor engineers across InfraSec and partner teams, raising the bar on engineering quality, operational readiness, and secure-by-default practices.

You will thrive in this role if you have:

• Strong software engineering skills with a track record of shipping and operating reliable distributed systems in production.
• Experience building or operating critical infrastructure, especially security infrastructure, at planet scale (e.g., auth services, service-to-service proxies, certificate or key-management systems).
• Deep understanding of security principles, best practices, and common vulnerabilities.
• Demonstrated ability to lead cross-team technical initiatives: setting direction, aligning stakeholders, driving execution, and delivering measurable outcomes.
• Expertise and curiosity about using frontier models and agents to effectively solve security challenges.
• Expertise in securing large-scale cloud platforms (e.g., Azure, AWS, GCP), including multi-cloud networks and cloud-agnostic system design.
• A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling.
• Strong analytical and problem-solving skills, with an ability to think critically and objectively assess risks.
• Excellent communication skills, with the ability to convey complex security concepts to executive, technical, and non-technical stakeholders.

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You will work with a team of system, hardware, software, and controls engineers to deliver concept and production level software. Your responsibilities will include developing and executing test cases for MIL/SIL verification of feature model function and evaluating feature model behavior and impact on customer experience.

To succeed in this role, you will need a Bachelor's Degree in Electrical, Computer Science, Mechanical, System Engineering, or a related field, and 3+ years of experience with software development using MathWorks toolchain (Matlab/Simulink/Stateflow) in the automotive domain or similar complex electromechanical systems.

As an established global company, Ford offers a range of benefits, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, and tuition assistance.

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You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty.

Key responsibilities include:

• Own compute financial planning & Forecasting.
• Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments.
• Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning)
• Coordinate closely with Corporate FP&A on timelines and process
• Present insights on a monthly basis to senior management.
• Drive infrastructure investment decisions.
• Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs.
• Develop frameworks for investment trade-offs to guide executive decision making.
• Build scalable tooling & reporting.
• Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics.
• Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer).
• Drive forecasting accuracy & accountability.
• Lead budget vs. actual analysis for compute and infrastructure spend.
• Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance.
• Support close & financial reporting.
• Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx).
• Translate complex infrastructure costs into clear insights for leadership.
• Enable strategic decision-making.
• Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments.
• Lead ad hoc analyses on emerging topics.

You might thrive in this role if you have:

• 10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments
• 2+ years in investment banking
• Must have experience running an FP&A team at the corporate level or business unit level with significant scale.
• Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty.
• Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers).
• Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights.
• Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus.
• Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain.
• Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute.

About the Role

We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads.

In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput.

Key Responsibilities

• Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply.

• Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments.

• Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths.

• Drive launch execution for new partner regions, clusters, and capacity expansions.

• Create operating mechanisms that measure deployed capacity versus usable token output.

• Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution.

• Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities.

• Establish executive-level reporting on delivery status, risks, and token ramp forecasts.

• Improve repeatability of partner onboarding, technical integration, and scaling motions.

• Manage escalations across internal and external stakeholders during high-severity delivery issues.

• Translate ambiguous infrastructure constraints into clear execution plans.

• Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems.

Qualifications

• 8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.

• Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems.

• Strong understanding of compute infrastructure, clusters, networking, storage, and production systems.

• Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors.

• Experience managing executive stakeholders and communicating complex tradeoffs clearly.

• Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics.

• Comfortable operating in ambiguous, fast-scaling environments.

• Strong written and verbal communication skills.

• High ownership mentality with bias toward action.

• Experience working with external providers, strategic partners, or hyperscalers is highly preferred.

Preferred Skills

• Experience with GPU clusters, AI infrastructure, or large-scale model serving environments.

• Familiarity with token economics, inference capacity planning, or workload scheduling.

• Experience scaling global infrastructure through third-party providers.

• Background in systems engineering, networking, or hardware deployment programs.

• Experience building new operational models in high-growth environments.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Safety Systems team is in need of a Technical Program Manager to streamline our full safety stack and integration of various safety research and mitigations into ChatGPT and our API. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders , ranging across research, product, engineering, legal, and policy , and ensuring all the risks are effectively and properly monitored, mitigated, or resolved.

About the Role

As a Safety Engineering TPM, you will be responsible for critical tasks ranging from tracking safety engineering progress and risk tables to overseeing critical data infrastructure programs, acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety infrastructure investments. Your primary focus will be to build a foundational layer to support the safety of all of our models and products.

Responsibilities

• Manage key risk areas and corresponding stakeholders.

• Work directly with safety engineers, engineering managers, and product managers to build common safety infrastructure.

• Manage data and compute infrastructure, including data residency and capacity planning.

• Design and run key internal programs, including incident management and processes for regularly updating our safety mitigations.

• Prioritize and manage a portfolio of infrastructure requests from other internal teams.

Requirements

• Have an undergraduate or graduate degree in computer science or computer engineering, or a demonstrated track record of engineering expertise.

• Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines.

• Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber.

• Have expertise in designing and implementing simple, scalable processes that solve complex problems.

• Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.

• Have strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines.

• Have exceptional written and verbal communication skills.

• Care about AGI safety.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Estimated Base Salary $295K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.

About the role

As frontier AI systems become more capable, they are increasingly able to pursue long-horizon goals, use tools, adapt to feedback, and operate with greater autonomy. These advances create enormous potential benefits, but they also introduce the risk that models may behave in ways that are misaligned, deceptive, or difficult to supervise or contain. Reducing loss of control risk is therefore a core challenge for safely developing and deploying advanced AI systems.

As a Researcher for loss of control mitigations, you will help design and implement an end-to-end mitigation stack to reduce the risk of intentionally subversive or insufficiently controllable model behavior across OpenAI’s products and internal deployments. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as model capabilities, deployment patterns, and threat models evolve.

In this role, you will:

• Design and implement mitigation components for loss of control risk,spanning prevention, monitoring, detection, containment, and enforcement,under the guidance of senior technical and risk leadership.

• Integrate safeguards across product and research surfaces in partnership with product, engineering, and research teams, helping ensure protections are consistent, low-latency, and resilient as usage and model autonomy increase.

• Evaluate technical trade-offs within the loss of control domain (coverage, robustness, latency, model utility, and operational complexity) and propose pragmatic, testable solutions.

• Collaborate closely with risk modeling, evaluations, and policy partners to align mitigation design with anticipated failure modes and high-severity threat scenarios, including deceptive alignment, hidden subgoals, reward hacking, and attempts to evade oversight.

• Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against increasingly capable and potentially subversive model behaviors,such as sandbagging, monitor evasion, exploit-seeking, unsafe tool use, or strategic deception,and iterate based on findings.

You might thrive in this role if you:

• Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.

• Bring demonstrated experience in deep learning and transformer models.

• Are proficient with frameworks such as PyTorch or TensorFlow.

• Possess a strong foundation in data structures, algorithms, and software engineering principles.

• Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.

• Excel at working collaboratively with cross-functional teams across research, policy, product, and engineering.

• Have significant experience designing and evaluating technical safeguards, control mechanisms, or monitoring systems for advanced AI behavior.

• (Nice to have) Bring background knowledge in alignment, control, interpretability, robustness, adversarial ML, or related fields.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Key responsibilities include leading pricing strategy and revenue management initiatives, partnering with Sales and cross-functional stakeholders to develop and execute pricing and incentive programs, and providing competitive benchmarking, profitability insights, and pricing recommendations to support business decisions.

The successful candidate will have 8+ years of experience in automotive finance, banking, captive finance, or other financial services environments, with a deep understanding of pricing strategy, borrowing cost, funding, and return optimization. They will also possess strong analytical and problem-solving skills, with the ability to translate complex data into actionable business recommendations.

This position offers a competitive salary range of $141,700-$268,300, depending on candidate's skills and experience. Benefits include immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, and a generous schedule of paid holidays.

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This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Key Responsibilities:

• Support critical corporate finance processes, including Board reporting and evolving our long-term forecasting models to support decision-making around expansion and operational strategies.
• Support strategic project work spanning transactions, capital markets activities, market research, new business model evaluations, and other business critical initiatives.
• Create high-quality presentations for communicating OpenAI’s financial performance.
• Distill our business and cost drivers into key metrics that underpin how we communicate financial performance, allocate resources, and plan for growth.
• Identify areas of opportunity across our P&L, cash flow and balance sheet.
• Stay current on market trends and best-in-class financial performance benchmarks.
• Working closely with our Accounting and Corporate Finance teams to build and evolve our financial reporting as well as finance team operations.

Requirements:

• 8+ years of experience in strategic finance, corporate finance, investment banking, private equity, consulting, or another highly analytical role.
• A strong ability to critically evaluate opportunities and risks in financials.
• Expert modeling and analytical skills.
• An exemplary ability to distill complex financial information into actionable insights.
• Excellent communication skills and “story telling” ability when presenting data insights.
• An understanding of business models and metrics that are relevant to OpenAI (i.e. B2B & B2C subscription and consumption models).
• Strong enthusiasm about technology and artificial intelligence.
• Best-in-class attention to detail and unwavering commitment to accuracy.

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You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery.

Key responsibilities include:

• Defining the architecture and technical roadmap for custom SoCs targeted for edge applications.
• Driving system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints.
• Architecting energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments.
• Collaborating with internal hardware, software, systems, and product teams to align architecture with platform needs.
• Partnering with external silicon vendors, IP providers, and manufacturing partners to execute development plans.
• Leading hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency.
• Guiding implementation teams through microarchitecture, RTL development, validation, and bring-up phases.

To be successful in this role, you will need:

• Proven experience defining and delivering complex SoC or ASIC architectures from concept to production.
• Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design.
• Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management.
• Experience working with both internal engineering organizations and external strategic partners.
• Ability to lead cross-functional teams in fast-paced, execution-driven environments.
• Strong communication skills with the ability to influence technical direction across organizations.

Preferred qualifications include experience with edge AI devices, embedded systems, or consumer hardware platforms, background in performance modeling, silicon cost optimization, and workload-driven architecture, and familiarity with advanced process nodes and modern semiconductor development flows.

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Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

Join our dynamic and agile team pioneering Ford's EV future. As a Thermal Systems Engineer focused on the coolant subsystem, you will be responsible for the 'circulatory system' of our electric passenger vehicles. Your work is vital to vehicle safety, longevity, and efficiency, as you design the systems that regulate the temperature of the high-voltage (HV) battery, drive units, power electronics, and other components. You will balance complex trade-offs between system performance, energy consumption, and cost to ensure peak performance in all use cases.

Responsibilities

You will lead the design, development, and integration of fluid-based thermal management loops.

Lead the architecture, design, and development of coolant subsystems that interact with HV battery, drive unit, power electronics, refrigeration, and HVAC components.

Define detailed thermal and hydraulic performance specifications for individual components (e.g., pumps, valves, heat exchangers, fans, hoses, degas bottles, etc.) within the coolant subsystem.

Work with application engineers to evaluate and select appropriate components based on performance requirements, cost, packaging constraints, and reliability targets.

Develop, calibrate, and maintain high-fidelity plant models that accurately simulate thermal and hydraulic behavior of the subsystem's components.

Conduct detailed thermal and fluidic analysis to ensure components meet specified performance targets under various operating conditions.

Collaborate with test engineers to define and execute component and subsystem characterization tests to validate and refine plant models.

Work closely with the Design Engineers to ensure component designs meet thermal and mechanical requirements, and with the Controls Engineer who will use the plant models for algorithm development.

Ensure traceability between high-level system requirements and detailed component specifications.

Qualifications

You'll have...

Bachelor's or equivalent combination of relevant education and experience.

3+ years of experience in thermal system design or component engineering.

Strong understanding of thermodynamics, heat transfer, and fluid dynamics principles.

Experience with physical system modeling and simulation tools (e.g., MATLAB/Simulink, GT-SUITE, etc.).

Proficiency in Python or similar programming languages for model development.

Even better, you may have...

Master's or Ph.D. in Mechanical Engineering or related engineering discipline.

Experience with EV thermal management systems.

Familiarity with vehicle communication protocols (CAN, LIN) for controlling smart pumps and valves.

Strong collaborative skills to work across hardware and software teams in a fast-paced EV development environment.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

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We are looking for someone who is equal parts strategist and operator. You’re adept at big picture strategic thinking and you know how to execute, bringing strategy to life owning the subscriber funnel, leading high-velocity experimentation, and driving measurable acquisition and retention metrics.

This is a high-impact, cross-functional role that requires strategic acumen, applied growth experience, business modeling expertise, and a passion for reading. This position reports to the Director of Audiobooks Growth and will play a pivotal role in shaping the future of Books on Spotify.

Responsibilities:

• Build a roadmap for market and format expansion to capture more of the book industry, evaluating the business impact, prioritizing initiatives to invest in, and executing against them.
• Develop a strategy on how to scale our Audiobooks+ add-on business into a leading subscription product.
• Develop the growth case and strategic roadmap for market expansion - overseeing the project through to completion navigating operational and strategic complexities.
• Develop growth strategies for new Book monetization initiatives, from early concepting through to leadership recommendation and execution.
• Scope white space opportunities like ad-supported tiers, book clubs, interactive formats and underserved genres.
• Become an expert on Audiobooks performance on Spotify and the overall industry - understanding growth trends, market share, business model and overall P&L - ultimately helping to identify and inform key investment areas.
• Guide and review analytical work across projects, raising the bar on rigor, clarity, and strategic thinking.
• Partner with Product, Consumer Research, Data Science, and Finance to translate insights into clear, actionable strategies.

Who You Are:

• 10+ years of experience in growth and strategy, ideally within technology, subscriptions, media or publishing.
• Experienced in evaluating early stage investment bets, developing and launching new business lines and products.
• You’re comfortable operating with ambiguity and enjoy shaping new ideas where the path forward isn’t fully defined.
• Has strong analytical chops, is experienced with metrics frameworks and grounding recommendations in strong data.
• Excited by the opportunity to shape the future of books on Spotify.
• We are looking for a creative problem solver who is part player, part coach. Someone who is a high impact individual contributor, able to influence cross functional teams and to stretch into a management role.
• You’re a proactive, independent problem-solver who can balance big-picture thinking with analytical detail.
• Effective communicator, collaborator, and operator who can manage in fast-paced environments and influence senior stakeholders in a matrix organization.
• You have experience working with large datasets; familiarity with SQL or BigQuery is a plus; and are skilled in the use of AI tools.

Where You’ll Be:

• This role is based in New York, New York or London, United Kingdom.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
• We ask that you come in 2-3 times per week.

Additional Information:

• The United States base range for this position is $160,147 - $228,781, plus equity.
• The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

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Compensation:

$325K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team:

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

Codex Security is OpenAI’s first security agent, built to scan GitHub Cloud repositories, validate real vulnerabilities, and integrate with Codex to help generate fixes.

About the Role:

Lead an effort to map, characterise, and prioritise cross-layer vulnerabilities in advanced AI systems – spanning data pipelines, training/inference runtimes, system and supply chain components. You’ll drive offensive research, produce technical deliverables, enhance the Codex Security product line, and serve as OpenAI’s primary technical counterpart for select external partners (including potential U.S. government stakeholders).

Responsibilities:

• Conduct deep security research on real-world software systems to discover complex vulnerabilities across large codebases and distributed architectures.

• Investigate and validate vulnerabilities discovered by AI-driven security agents, including building proofs-of-concept and exploit demonstrations.

• Partner with engineering teams to improve automated vulnerability discovery, validation, and remediation workflows as part of product development.

• Build high-quality security datasets and evals that will help advance model’s cybersecurity capabilities

• Train and improve AI models used for vulnerability discovery, validation, and automated remediation by developing datasets, evaluations, and feedback loops grounded in real-world security research.

• Publish technical write-ups, research insights, and vulnerability analyses that advance the state of application security.

You may thrive if you:

• Have strong experience in vulnerability research, exploit development, or offensive security.

• Have deep experience with cutting-edge offensive-security techniques

• Are fluent across AI/ML infrastructure (data, training, inference, schedulers, accelerators) and can threat-model end-to-end.

• Operate independently, align diverse teams, and deliver on tight timelines.

• Communicate clearly and concisely with experts and decision-makers.

• Care deeply about improving the security of widely used software and open-source infrastructure.

• Are a strong developer who can work in a small energetic team

Goals & impact:

• Build AI-driven systems that can discover high-impact vulnerabilities in widely deployed systems and open-source software before attackers do.

• Improve the precision and effectiveness of AI-driven security agents by grounding them in real-world vulnerability research.

Key technical challenges:

• System-level vulnerability discovery , identifying complex vulnerabilities that span multiple services, trust boundaries, or components.

• High-confidence validation , distinguishing real exploitable vulnerabilities from speculative or theoretical issues.

• Scaling security research with AI agents , guiding automated systems to analyse millions of commits while maintaining research-level rigor.

• Automated exploit and proof-of-concept generation , building reproducible demonstrations of vulnerabilities within sandboxed environments.

• Building large systems that work within OpenAI’s enterprise architecture

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to benefit society in countless ways, and we want to ensure that everyone has access to the resources they need to succeed. That’s why we’re committed to creating a workplace where everyone feels welcome, valued, and empowered to contribute their best work.

We strive to create a culture of inclusivity, diversity, and respect, where everyone feels comfortable sharing their ideas, perspectives, and experiences. We believe that our differences are what make us stronger, and we’re committed to fostering a workplace where everyone can thrive.

If you’re passionate about using AI to drive positive change and want to join a team that shares your values, we encourage you to apply for this role. Together, let’s build a brighter future for all.

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The thermal systems engineer will also be responsible for identifying and resolving trade-offs between competing attributes, developing roadmaps for improvement, and communicating attribute status to stakeholders.

You will work closely with cross-functional teams (Powertrain, Aerodynamics, Studio, Body Engineering, CAD/CAE resources and motorsport) to architect thermal solutions that meet aggressive performance targets.

Responsibilities:

• Own the thermal system architecture for assigned performance vehicle programs, including engine cooling circuits (radiators, CACs, oil coolers, etc)
• Define system requirements and performance targets (coolant flow, temperature limits, pressure drops, heat rejection capacity, etc.) in alignment with vehicle-level performance and durability goals
• Lead 1D and CFD-based analysis of underhood and powertrain thermal systems, modeling fluid flows through radiators, intercoolers, oil coolers, and related engine-side components
• Partner with aerodynamics and studio teams to use CFD to help optimize body features for managing airflow
• Develop and execute test plans for vehicle-level testing and validation, including instrumentation, climatic wind tunnel testing, and supporting test trips to off-site test facilities such as test tracks
• Lead root cause analysis and resolution of thermal issues discovered during development
• Present technical status, trade-offs, and recommendations to program management and senior engineering leadership

Qualifications:

• BS in Engineering (Mechanical, Aerospace or related) with 3+ years of Product Development experience desired
• Experience in thermal system development and 1D analysis
• Experience in analytical modeling, system level testing, vehicle level testing and correlation of testing to customer experience
• Strong enthusiasm for and knowledge of high-performance vehicles and the customers who purchase them
• Excellent written and oral presentation skills required
• Need to be self-starter with ability to deliver results and overcome obstacles
• Position will require some travel and occasional extended hours to complete testing and/or issue resolution

Even Better, You May Have:

• MS in Engineering (Mechanical, Aerospace or related)
• 5+ years of thermal systems development
• Experience with CFD vehicle modeling software and analysis
• Experience with ATI, PTDAIG or other vehicle data acquisition and analysis systems
• CAD knowledge and capability
• Performance driving experience (drag strip or off-road) and/or credentials within Ford is a plus. (≥Tier II)

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You'll own development and enforcement of QA/QC standards, inspection protocols, commissioning scope, and acceptance criteria, working closely with contractors, design teams, and commissioning partners to embed a quality-first culture.

Key Responsibilities

• Develop and maintain the portfolio-level QA/QC program for hyperscale data center construction (standards, checklists, acceptance protocols).
• Review and approve developer QA/QC and commissioning plans for alignment with project specs and industry best practices.
• Oversee site inspections across civil, structural, architectural, mechanical, and electrical scopes.
• Validate installation quality against drawings, specifications, and manufacturer requirements.
• Monitor and track punch list items, NCRs, and corrective actions with the developer and contractors, including critical Method of Procedure (MOP) work.
• Partner with the developer’s commissioning teams to ensure QA/QC documentation supports readiness for both functional and integrated testing.
• Validate functional and integrated systems testing completion in preparation for OAI acceptance.
• Maintain real-time quality tracking and reporting dashboards for program leadership.
• Train and guide site teams on quality expectations, inspections, and documentation standards.
• Drive continuous improvement by capturing lessons learned and updating standards for future sites.

Qualifications

• Have 10+ years managing quality and commissioning for mission-critical, hyperscale, or complex commercial developments.
• Have deep technical knowledge of construction means/methods and quality standards across major trades.
• Can interpret design documents, specs, and submittals to verify field compliance.
• Have experience developing and implementing quality management systems at program or portfolio scale.
• Communicate effectively with executives, contractors, and site teams,translating findings into actionable recommendations.
• Proactively identify quality risks before they impact cost or schedule.
• Thrive in fast-paced, complex environments and can drive accountability across stakeholders.

Preferred Skills

• Experience delivering QA/QC and commissioning programs for hyperscale data centers (e.g., >50MW campuses) across multiple regions.
• Familiarity with industry commissioning standards and frameworks (e.g., ASHRAE, Uptime Institute, CSA, BICSI).
• Deep expertise in mission-critical MEP systems, including power (MV/LV), cooling (chilled water, DX), controls, and redundancy architectures (N, N+1, 2N).
• Experience working with JDM/ODM or developer-led delivery models, including navigating multi-party accountability structures.
• Proven track record managing third-party commissioning agents (CxA) and integrating their work into broader program QA/QC frameworks.
• Strong understanding of digital QA/QC and commissioning tools (e.g., Procore, BIM 360, PlanGrid, CxAlloy, Bluebeam, or similar platforms).
• Experience building and scaling portfolio-level quality dashboards and reporting systems for executive visibility.
• Ability to operate effectively in global environments, including managing cultural, regulatory, and contractor differences across regions.
• Background in failure analysis, root cause investigation, and reliability engineering for mission-critical infrastructure.
• Bachelor’s degree in Engineering, Construction Management, or related field (advanced degree or professional certifications such as PE, PMP, CxA, LEED are a plus)

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This role serves as the single accountable executive owner of the BCG relationship globally. You will be responsible for defining strategic direction, establishing a durable operating model, and converting alignment into scaled commercial and transformational outcomes across regions and industries.

The role carries full responsibility for the health, performance, and long-term expansion of the partnership and requires senior executive presence, judgment, and accountability.

Responsibilities

• Own the global BCG relationship, including pipeline growth, enterprise impact, and long-term expansion across priority industries.

• Define and run OpenAI's operating model for the BCG partnership, spanning governance, joint planning, and execution cadence across regions.

• Serve as OpenAI's senior executive counterpart to BCG's global leadership, including BCG X and relevant practice leaders.

• Set joint priorities, resolve escalations, and ensure coordinated execution across global and regional teams.

• Shape and lead co-selling of complex, CxO-level enterprise AI transformation opportunities.

• Engage directly with enterprise executives (CEO, CDO, CIO, CTO, Board) alongside BCG partners to frame AI strategy, operating models, and value realization.

• Coordinate internal OpenAI stakeholders (product, research, GTM, legal, communications) to support BCG-led strategic engagements and lighthouse opportunities.

• Establish and enforce clear IP, quality, and conflict-of-interest guardrails across joint engagements and any co-developed assets.

• Define vertical strategy and lighthouse account selection in partnership with BCG across priority industries.

• Build and lead OpenAI's dedicated BCG alliance pod over time, spanning partner management, technical leadership, enablement, and operations.

• Establish durable reporting, metrics, and operating cadence to ensure consistent alliance performance and continuous improvement.

Requirements

• Associate Partner / Principal or Partner-level experience at an MBB firm preferred, or equivalent senior leadership experience in a top-tier strategy and transformation organization.

• A strong combination of technology fluency and commercial leadership, ideally across business development, industry advisory, or alliances/partnership roles at top-tier tech company.

• Proven ownership of global, multi-year strategic partnerships with executive accountability and measurable outcomes.

• Demonstrated success shaping and closing high-stakes, board-level enterprise transformation opportunities.

• Ability to design and scale joint operating models between senior, partner-led organizations.

• Strong executive presence with comfort operating under ambiguity, complexity, and accountability.

• Ability to influence cross-functionally across product, research, sales, legal, communications, and partner organizations.

• Industry expertise in at least one of the following verticals: Financial Services; Pharma & Life Sciences; Healthcare; Retail.

• Deep literacy in enterprise AI, data, and cloud transformation, with credibility among CEOs, CIOs, CTOs, and Chief Digital Officers.

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Responsibilities:

• Develop vehicle-level Logical Schematics and set up Design Transmittal (DT) Structures within the Vehicle Systems Engineering Management - Global Design Transmittal (VSEM-GDT) system.
• Ensure the Generic Fusing Strategy and Generic Grounding Strategy are strictly followed across all designs.
• Execute compatibility reviews, assess Systems Failure Mode and Effects Analysis (FMEA), and ensure compliance with related system requirements in the Ford Engineering Design Environment (FEDE).
• Support Hardware-in-the-Loop (HIL), Final Design Judgement (FDJ), and Design Confirmation Vehicle (DCV) Breadboard setups, including determining feature configurations and variants.
• Verify the Bill of Materials (BOM) to ensure all necessary hardware and components are present for Breadboard builds.
• Update module software using In-Vehicle Software (IVS) or JFrog repositories and configure modules using the Ford Converter Tool (FCT) or End-of-Line (EOL) simulation.
• Perform functional point-to-point testing and lead Design Confirmation Vehicle (DCV) signoff for Vehicle Engineering Validation (VEV) Design Verification (DV) Breadboards.
• Provide module configurations and support Vehicle Software Configuration System (VSCS) development.
• Support Plant Build Kits at facilities such as the New Model Programs Development Center (NMPDC) or Roush by managing software updates and module configurations.
• Execute self-tests and collect bus queries to verify part numbers, configurations, and Diagnostic Trouble Codes (DTCs).
• Be part of new vehicle program launch team and responsible to triage and troubleshoot functional issues during vehicle builds and all pre-production phases, including Engineering Prototype (EPT), Tooling Tryout (TT), Pilot Plant (PP), Manufacturing Process (MP1 & MP2), OK to Buy (OKTB), Post Job 1 (PJ1), and Job 1 plus 90 days (J1+90).
• Support Functional Testing and Key Off Load (KOL) test activities to ensure vehicle system readiness.
• Utilize the Software Bill of Materials (SWBOM) to track software revisions.
• Support End-of-Line (EOL) testing before each build event to validate latest vehicle software package and Vehicle Software Configuration System (VSCS).
• Review and identify "false codes" (phantom Diagnostic Trouble Codes set during software reflashing) to ensure accurate system diagnostics and clean vehicle delivery.

Qualifications:

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 3-5 years' experience in automotive Electrical/Electronic (E/E) Systems Integration and Validation.
• 3+ years 'experience with Controller Area Network (CAN), CAN-Flexible Data-Rate (CAN-FD), and Local Interconnect Network (LIN) protocols and messaging.
• 2+ years' experience in Issue Triage and Root Cause Analysis of complex functional failures and system-level defects.

Preferred qualifications include proficiency in analyzing vehicle bus traffic using industry-standard tools such as CANalyzer, CANoe, Diagnostic Engineering Tool (DET), or Wireshark, ability to read and interpret complex Electrical Schematics, wiring diagrams, and network communication databases (.dbc or .arxml), fundamental understanding of vehicle power distribution, including fusing and grounding strategies, familiarity with Failure Mode and Effects Analysis (FMEA) and functional safety principles, demonstrated ability to perform hands-on technical troubleshooting on physical hardware, breadboards, or vehicle prototypes, willingness to support onsite activities at manufacturing plants or prototype build facilities like the New Model Programs Development Center (NMPDC), direct experience with Ford-specific engineering tools including Vehicle Systems Engineering Management - Global Design Transmittal (VSEM-GDT) and Ford Engineering Design Environment (FEDE), expertise in Vehicle Software Configuration System (VSCS) development and module configuration, experience using In-Vehicle Software (IVS) or JFrog for software repository management and the Ford Converter Tool (FCT) for module flashing, advanced knowledge of Automotive Ethernet and complex gateway routing, in-depth knowledge of Automotive End-of-Line (EOL) testing procedures, proven ability to identify and resolve "false codes" or phantom Diagnostic Trouble Codes (DTCs) generated during software reflashing, leadership capability to lead cross-functional triage meetings and translate technical bus data into actionable business reports for leadership, proficiency in data management and tracking using Jira and Confluence, proficiency on coding in Python or C#, and proficiency on using Large Language Models.

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The ideal candidate brings deep leasing expertise, strong financial acumen, and the ability to build scalable systems, operate effectively in ambiguity, and translate complex tradeoffs into clear executive decisions and durable outcomes.

"+"In this role, you will:

• Define and drive global real estate strategy balancing cost, flexibility, speed, and long-term growth.
• Lead and develop a high-performing team while building strong cross-functional partnerships across regions.
• Own end-to-end lease transactions (strategy → site selection → negotiation → execution) and secure best-in-class outcomes.
• Act as a senior thought partner to executives, shaping high-stakes decisions with clear, data-driven recommendations.
• Develop portfolio strategies, financial models, and scenario analyses to inform investment decisions and tradeoffs.
• Build scalable frameworks, playbooks, and operating mechanisms that improve speed, quality, and consistency.
• Drive company-wide real estate decisions aligned to broader business, talent, and infrastructure strategy.
• Oversee portfolio governance (expirations, risk, obligations) and ensure proactive, disciplined execution.
• Lead budgeting, forecasting, and reporting in partnership with Finance and Accounting, ensuring strong controls.
• Drive alignment across Legal, Workplace, Finance, Security, EHS, and other stakeholders on transactions and operations.
• Build analytics and reporting systems to improve visibility, prioritization, and portfolio performance.
• Establish strong external partnerships (landlords, brokers, operators) and leverage AI/tools to enhance execution and outcomes.

"+"You might thrive in this role if you have:

• 8–12+ years of experience leading corporate real estate transactions across commercial office and industrial/warehouse environments; in-house experience strongly preferred.
• Advanced expertise in lease negotiation and interpretation, portfolio strategy, financial modeling, and risk assessment.
• Proven ability to lead and develop high-performing teams in fast-paced environments, while producing clear, executive-ready recommendations and decision materials.
• Strong communication and judgment, with the ability to navigate ambiguity, influence stakeholders, and independently solve complex problems.
• Ability to balance long-term strategic planning with hands-on execution, moving seamlessly from portfolio strategy to detailed transaction and lease review.

Proficiency with AI-enabled tools, Google and Microsoft Suites, and lease administration systems.

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In this role, you will partner closely with senior leadership, Finance, Legal, and the Compensation Committee to design and evaluate executive compensation frameworks, assess equity usage and dilution, and support critical compensation decisions. You will own executive compensation analysis end to end, including benchmarking, modeling, and preparing clear, board-ready materials that inform leadership and committee decisions.

This role is ideal for someone with strong executive compensation expertise, sound judgment, and the ability to translate complex pay and governance considerations into practical, decision-ready recommendations. This role reports to our Head of Equity Programs

Your Responsibilities:

• Design, evolve, and govern executive compensation and equity programs, including base salary, annual incentives, and long-term equity, aligned to business strategy, market benchmarks, and long-term value creation.

• Lead executive compensation benchmarking and market analysis, including peer group construction, pay positioning, and evaluation of emerging practices across late-stage private and public technology companies.

• Develop and maintain sophisticated models to assess executive pay outcomes, equity grant sizing, dilution, burn rate, and stock-based compensation expense under multiple scenarios.

• Partner closely with Legal and Finance to ensure executive compensation programs align with disclosure, governance, and compliance requirements.

• Prepare clear, decision-ready materials for senior leadership and the Compensation Committee, including executive pay proposals, equity usage analyses, and compensation review recommendations.

• Serve as a trusted advisor to senior leaders by translating complex compensation, equity, and governance tradeoffs into concise, actionable insights.

• Collaborate cross-functionally with Total Rewards, HRBPs, Recruiting, and Equity Administration to ensure accurate execution, implementation, and ongoing oversight of executive compensation programs.

We’re Seeking:

• 8+ years of experience in executive and equity compensation, ideally within high-growth or late-stage technology companies.

• Direct experience supporting executive compensation decisions and/or Compensation Committee processes.

• Strong financial modeling and analytical skills, with the ability to assess tradeoffs across pay, dilution, governance, and retention.

• Familiarity with executive compensation practices, including benchmarking, disclosure considerations, and governance standards.

• Advanced Excel or Google Sheets skills; experience with compensation survey tools and analytics platforms is a plus.

• Exceptional written and verbal communication skills, with comfort producing board-level and executive-ready materials.

• High integrity, sound judgment, and discretion when handling sensitive executive information.

Workplace & Location

This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.

Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.

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This position requires a strategic professional who can balance technical expertise with project management, ensuring that environmental capital projects are delivered on time and within budget while maintaining strong relationships with regulatory agencies and internal stakeholders.

Responsibilities:

• Provides technical and regulatory support for one or more environmental media/operational subjects (i.e., air, water, wastewater, waste, tanks, materials, Environmental Operating System, ISO14001, site reports, decommissioning, remediation, permitting, modeling, regulatory communications, testing, site audits, focus visits, etc.).
• Supports achievement of the Corporate Footprint and Manufacturing business plan objectives and targets (e.g., compliance index, water, waste, energy, energy, hydrocarbons).
• Develops accurate and complete correspondence (i.e., reports, permit applications, etc.) to support site environmental compliance, legacy and site remediation projects, and business plan objectives and targets.
• Tracks progress and spending on environmental capital and expense projects to ensure action items are completed on time and within budget.
• Supports technical aspects of environmental systems (e.g., Environmental Operating System, site decommissioning, compliance assurance, management reviews)
• Utilizes environmental software applications (e.g., ICSM, I-Points, Business Objects, SharePoint, E-tracker, modeling software) to help achieve business site objectives and targets.
• Builds strong, productive working relationships with environmental professionals and manufacturing/non-manufacturing contacts throughout the Company at facility and staff levels.
• Effectively uses standard procedures and best practices to ensure site environmental compliance and achieve business plan objectives and targets.
• Maintains knowledge of applicable national, regional, and local environmental requirements.
• Represents Ford's interests on environmental matters through interaction with external entities (i.e., local, regional, and national regulatory agencies, PRP groups, community groups, trade and professional organizations, non-governmental organizations, etc.)

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Key responsibilities include: Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks. Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python. Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity. Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models. Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

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You will help define and operationalize frameworks for identifying and addressing frontier risks (e.g., bioweapon instructions, malware creation, suicide/self-harm risks, jailbreaks), while ensuring that privacy guarantees remain intact,even under adversarial conditions.

This role is central to our long-term goal of scaling our automated privacy-preserving safety systems to mitigate potential harms while minimizing human review.

You’ll work on foundational problems such as privacy-preserving monitoring, algorithmic auditing, secure enclaves, and adversarially robust safety enforcement protocols, helping ensure that safety systems scale without compromising user trust.

Design and implement privacy-first architectures for detecting and mitigating harmful model behaviors.

Build frameworks for auditable private identification of high-risk content (jailbreaks, cyber threats, or weaponization instructions).

Develop strict, auditable mechanisms triggered only by harm signals.

Drive the development of automated safety systems that preserve privacy at every level.

You might thrive in this role if you:

Are a researcher with deep interest in privacy, security, and AI safety, motivated by building systems that are both trustworthy and effective at scale.

Hold a PhD or equivalent experience in Computer Science, Cryptography, Security, Machine Learning, or related fields

Have the ability to translate ambiguous problem spaces into formal frameworks and deployable systems

Demonstrate proficiency in one or more of:

Privacy-preserving computation (e.g., secure enclaves, MPC, differential privacy)

Security and adversarial systems

Machine learning safety or alignment

Experience designing robust systems under adversarial threat models

Have experience with AI safety, jailbreak detection, or model alignment

Are familiar with privacy-preserving machine learning techniques, algorithmic auditing and/or secure system design

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The Human-Centered Design (HCD) Team is responsible for the end-to-end experience, including digital and physical design of new businesses, new products, and new services. We are looking for creative individuals to join us and help further the vision and mission of the HCD Ford’s team.

Responsibilities

• Contribute to Design Innovation: Design novel and unique experience design solutions to meaningful problems for customers, identifying design opportunities and actionable concepts that align with user and business needs, design principles, and technical capabilities.
• Develop Prototyping & Design Visualization Skills: Assist in initial rough prototyping and design visualization methods. You will be skilled in initial rough prototyping ("build to learn") with a primary emphasis on physical enablers, and in iterating design solutions based upon customer, user, and system feedback to meet user expectations and deliver successful outcomes.
• Support Insight-Driven Design Solutions: Assist in creating design solutions that are deeply rooted in customer and user insights, expertly translating these insights into highly desirable and feasible physical product solutions.
• Design Leadership & Vision: Actively contribute throughout the entire design process from inspiration and research to building prototypes and communicating a clear vision. You will help bring to life integrated digital-physical experiences through brand, products, and services, and collaborate with project teams to conceive, design, develop, test, and launch impactful new products and services.
• Systems Thinking: Apply systems thinking to physical experience design that seamlessly engages people through touchpoints along a service journey for consumer and business applications.
• Stakeholder Collaboration & Communication: Bring clarity and focus through effective communication of functional needs and aesthetic sensibilities. You will collaborate with cross-functional teams in an advanced product development environment, building strong relationships with engineering, planning, and research stakeholders.
• Experience Content Strategy & Feasibility: Partner to support the initial design and development of experience concepts. You will design and iterate key program applications of the domain-based Experience Content Strategies, confirming key experiences are feasible within program constraints.

Qualifications

• Bachelor’s degree in Industrial Design, Transportation Design or a related field
• A portfolio or work examples showcasing industrial design projects
• Designer level experience in a consumer product industry, transportation sector or supplier, design consultancy, or similar field.
• Proficiency with Adobe Creative Suite design tools.
• Proficiency with at least one 3D modeling software application (e.g., Alias AutoStudio, Rhino, or Blender).
• Proficiency in relevant presentation applications (e.g., PowerPoint, Keynote, or similar).

Even better, you may have

• Master’s degree in industrial design, Transportation Design or a related field
• 5+ years of Industrial Design or Transportation Design studio work experience.
• Strong creativity and demonstrated inventiveness towards features and functional solutions.
• Strong ability to translate customer and research inputs into relevant, highly desirable, and feasible product solutions.
• Strong communication skills through presentation and storytelling.
• Strong product design aesthetic sensibilities.
• Strong sketching, visualization, modelling, and presentation skills.
• Strong 2D application skills (e.g., Photoshop, Illustrator, etc.).
• Strong 3D application skills (e.g., Alias AutoStudio, VRED, Rhino, Maya or Blender).
• Demonstrated ability to actively contribute to projects in a multidisciplinary team environment.
• Demonstrated ability to build low fidelity prototypes (e.g., hands-on with cardboard, foam core, wood, laser cutting, 3D printing) and understanding of production methods and prototyping processes.
• Demonstrated ability to translate design vision in animated story-form through creative use of digital presentation applications (including AI visualization tools).
• Ability to support the development of design proposals from concept to production.

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This is a revenue-oriented partnerships role for a high-output operator who can translate alliance strategy into pipeline, partner-attached revenue, and repeatable execution. The right candidate knows how to earn mindshare with cloud field teams, navigate ambiguity, and build simple operating mechanisms that scale.

In this role, you will:

• Build trusted relationships with AWS Account Managers, Solutions Architects, Specialists, and regional segment leaders to create durable seller mindshare.
• Enable AWS field teams on positioning, use cases, qualification logic, and how to engage OpenAI effectively.
• Own the in-market operating relationship with AWS sellers across account mapping, joint planning, deal coordination, and escalation management.
• Identify, shape, and support qualified opportunities emerging from AWS accounts, in close partnership with OpenAI sales and technical teams.
• Drive strong co-sell hygiene across ACE, Marketplace, opportunity tracking, follow-up, and next-step discipline.
• Develop repeatable sales plays, enablement assets, and field communications that help AWS teams operate more independently over time.
• Aggregate structured feedback from AWS sellers and customers and translate it into clear recommendations for product, GTM, and operations teams.
• Help define the operating model, engagement thresholds, and regional strategy that make the AWS motion scalable as demand grows.
• Collaborate cross-functionally with Partner SAs, Cloud Specialist Sellers, Product, Engineering, Partner Marketing, Partner Ops, and GTM leadership to unblock deals and improve execution.
• Represent OpenAI with executive presence in customer, partner, and internal leadership conversations where commercial judgment and clarity matter.

We're seeking someone with experience including:

• 8+ years in partnerships, ecosystem sales, cloud alliances, business development, or related go-to-market roles within SaaS, cloud, or platform businesses.
• Meaningful experience working closely with AWS field teams and strong familiarity with AWS co-sell motions, including ACE, Marketplace, and partner-led sales engagement models.
• A proven track record of driving revenue through partnerships, not just managing partner relationships.
• Experience supporting complex enterprise opportunities with direct sales teams, including deal strategy, qualification, technical coordination, and stakeholder alignment.
• Comfort engaging CIOs, CTOs, and senior business leaders in strategic conversations and communicating technical value propositions clearly.
• Experience building sales plays, enablement content, operating cadences, and scalable field motions in high-growth environments.
• Strong technical fluency and cloud credibility, with enough depth to engage productively with architects and technical decision-makers.
• A demonstrated ability to operate with high ownership in ambiguous, fast-moving environments where the playbook is still being built.
• Excellent cross-functional influence, including the ability to align sales, product, engineering, operations, and leadership stakeholders without formal authority.

You might thrive in this role if you:

• Are a builder. You like creating structure where none exists and turning messy partnership motions into simple, repeatable systems.
• Have a sales mindset. You naturally orient toward pipeline, deal quality, seller activation, and measurable commercial outcomes.
• Are highly credible with partners and executives. You know how to earn trust quickly, communicate clearly, and handle escalations calmly.
• Operate with urgency and judgment. You can manage volume, prioritize ruthlessly, and know when a deal deserves deeper engagement.
• Enjoy technical learning. You do not need to be the product expert in the room, but you are comfortable learning quickly and translating technical concepts into business value.
• Are excited by AI and cloud platform shifts and motivated by the opportunity to help define how OpenAI scales through strategic ecosystems.

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$234K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

In addition to the salary range listed above, total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• 401(k) plan with 50% matching

• Unlimited time off and 13 company holidays per year

• Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave) and family-planning support

• Annual learning & development stipend ($1,500 per year)

About the Team

OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics.

The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring.

About the Role

We are hiring a senior strategic finance thought partner to support OpenAI’s Ads business. You will partner closely with Ads Product and GTM leadership and be responsible for driving financial planning and forecasting, evaluating new initiatives, and providing decision-quality insights on performance.

You will help build the financial foundations required to scale the Ads business,from forecasting and performance measurement to economic modeling for new products and initiatives. This is a unique opportunity to influence the trajectory of frontier AI products while working at the intersection of strategy, finance, and technology.

In this role, you will:

• Serve as the Strategic Finance partner to our Ads teams, helping shape business strategy and investment decisions.

• Support financial evaluation for our Ads business, including modeling revenue and compute, establishing core metrics, identifying leading indicators, tracking variance to expectations, and surfacing risks and opportunities.

• Partner with Product, Engineering, and GTM leaders on strategic initiatives and new product launches to shape growth plans.

• Analyze business trends and translate data into actionable insights that inform both long-term strategy and day-to-day decision making.

• Build and scale financial planning rigor, including forecasting methodology, management reporting, and performance narratives that improve decision velocity and accountability.

• Stay up to date on market trends and competitive dynamics to refine financial strategies.

• Prepare and deliver high-quality executive and Board materials communicating business performance, key drivers, and strategic recommendations.

You might thrive in this role if you have:

• 12+ years of experience in investment banking, consulting, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.

• 2+ years in Ads Finance, with Ads P&L ownership and experience supporting growth across multiple verticals, formats, and international markets.

• Exceptional analytical and financial modeling skills, including building detailed operating models and product P&Ls to evaluate growth opportunities and investment decisions.

• Strong business judgment and the ability to critically assess financial performance, opportunities, and risks.

• The ability to translate complex financial data into clear insights and recommendations, and communicate them effectively to senior leadership.

• High attention to detail and a commitment to accuracy in financial analysis and reporting.

• Familiarity with digital advertising business models.

• A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment.

• Enthusiasm for the deployment of AI and OpenAI’s mission.

• Experience with SQL.

About OpenAI

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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Responsibilities: Manage potential safety, regulatory compliance, and high-impact quality concern investigations Lead and guide the preparation of problem-solving and business case documents for internal reviews (i.e., 8D, FMEA, 3-legged 5 whys, etc.) Collaborate with, coach, and critique presentation materials prepared by product development, manufacturing, supplier, and quality team members for internal reviews Engage and provide direction as needed to assembly plant and engineering teams for issues necessitating the resolution of vehicle concerns before they are released for shipment Work with safety, legal counsel, purchasing, manufacturing, and service activities within the company in orchestrating recalls based on established corporate procedures Work with fleet service engineering for early warning of potential safety or high-impact quality concerns

Qualifications: Bachelor of Engineering Degree or equivalent Master's Degree in Engineering or Business Administration is a plus 3-5 years of engineering design and release, manufacturing, or STA experience Black Belt experience is greatly helpful Understanding of linkages between Design and Process Failure Mode and Effects Analysis (DFMEA/PFMEA), design and Product Verification Plans, and Engineering Specifications and their application to components/sub systems/systems Prior automotive plant or launch experience beneficial, but not mandatory Proficient in MS Office – Word, Excel, PowerPoint, and Outlook required Ability to work on-site at our Dearborn MI location

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is The World’s Identity Company. We free everyone to safely use any technology,anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

The Buying Programs Strategy & Operations Team

Okta’s Buying Programs Strategy & Operations team is responsible for closing complex commercial contracts by providing Sales teams with business process and policy insights, as well as strategic and operational support. The team sits within the broader Go-To-Market Strategy and Operations organization, which drives strategy through execution for Okta’s durable growth.

As a member of GTM S&O, you will have the opportunity to learn about and contribute to Okta's business from all angles, including standardizing policies and systems to scale operations as well as collaborating with product teams to roll out new offerings.

The Manager, Deal Strategy Opportunity

In this role, your primary function will be to strategically and effectively model and structure non-standard proposals and contracts that mutually benefit Okta and its Customers in EMEA. You will be well-positioned as the “pulse” of the business and strategic adviser to the Sales organization.

If you have a successful track record of thriving in ambiguity within a rapidly growing environment and solving complex problems, this is your role.

What you’ll be doing

Serve as an expert on deal structuring, pricing, commercial terms, processes, and policies

Ensure all non-standard commercial terms are reviewed, approved, and documented correctly in accordance with Revenue Operations requirements

Strategize with Sales and internal stakeholders, including Accounting, Revenue Operations, Legal, Compliance, and Product to structure and position complex deals

Provide Revenue Operations and Accounting teams with context and clarification on complex deal structures and metric treatment related to booking, invoicing, internal reporting, etc.

Collaborate with and provide guidance and deal insights to cross-functional teams to drive change and proactively design solutions to solve complex problems

Maintain a holistic view of a deal during contract negotiations; driving internal stakeholder discussions and resolution on customer concerns or key business issues that arise during negotiation

Build scalable and efficient processes to operationalize excellence to ensure timely and accurate closure of deals

Identify deal trends and develop and implement best practices with a data-driven mentality

Partner with sales leadership to identify areas of opportunity and provide detailed insights into the business

What you’ll bring to the role

Minimum 5 years of Sales support experience in the technology industry with at least 3 years experience in a Deal Desk role

A willingness to enforce deal governance and compliance policies with a thorough understanding of the SaaS revenue model and reporting

Demonstrated project management experience or participation in process improvement efforts

Excellent communication skills, written & verbal, with the ability to explain complex concepts clearly and effectively across all levels of the organization

Proven performance in negotiating and closing large enterprise SaaS agreements

Aptitude in prioritizing, maintaining attention to detail, and producing timely and quality work under high pressure and tight deadlines with the capacity to lead and engage in multiple initiatives at the same time

Strong research, analytical, and problem-solving competencies with a growth mindset

Proficiency in Salesforce and Google Workspace is required with intermediate knowledge of Excel and Tableau preferred

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In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.

This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.

Key Responsibilities:

• Support the development and maintenance of performance modeling tools and frameworks
• Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems
• Help analyze distributed system scaling behavior and identify performance bottlenecks
• Run simulations and analytical models to support architecture and infrastructure decisions
• Partner with senior engineers to evaluate design tradeoffs across hardware and system components
• Interpret modeling outputs and help translate findings into clear recommendations
• Validate models using benchmarking data and real system performance measurements
• Improve modeling workflows, documentation, and usability for broader team adoption
• Collaborate cross-functionally with hardware, infrastructure, and architecture teams

Qualifications:

• 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work
• Strong programming skills and experience building technical tools, scripts, or frameworks
• Familiarity with system architecture fundamentals such as compute, memory, and networking
• Ability to reason about system performance, bottlenecks, and scaling behavior
• Strong analytical and problem-solving skills with comfort working in quantitative environments
• Ability to learn quickly and work effectively across technical teams

Preferred Skills:

• Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure
• Experience with simulation tools, benchmarking, profiling, or performance analysis
• Familiarity with data center systems, server architecture, or hardware platforms
• Interest in system architecture and hardware/software co-design
• Internship or early professional experience in performance engineering, infrastructure, or systems design

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Responsibilities:

• Lead, coach, and develop a team of CAD designers and engineering design personnel.
• Oversee creation, quality, release, and maintenance of 3D CAD models, assemblies, and 2D engineering drawings.
• Support vehicle and subsystem development from concept, feasibility, packaging, and prototype through validation and production release.
• Ensure CAD deliverables meet engineering standards, release requirements, timing milestones, and program objectives.
• Partner closely with design release engineers, manufacturing, studio, quality, purchasing, suppliers, prototype, and program teams.
• Review model integrity, interface control, package feasibility, tolerance conditions, and manufacturability.
• Drive consistent use of CAD best practices, modeling standards, drawing standards, naming conventions, and data management processes.
• Support digital mockup reviews, issue resolution, packaging studies, and design change implementation.
• Manage team workload, priorities, staffing support, and escalation of technical or timing risks.
• Lead problem-solving activities related to design quality, package conflicts, release issues, and engineering change execution.
• Promote continuous improvement in CAD productivity, digital quality, and development efficiency.
• Mentor team members in technical design methods, GD&T, release discipline, and product development processes.

Qualifications:

• Bachelor's degree in Mechanical Engineering, Automotive Engineering, Manufacturing Engineering, or a related technical discipline.
• 7 or more years of experience in CAD design, engineering design, or product development.
• 2 or more years of leadership experience in a supervisory, lead, or team-coordination capacity.
• Strong experience in automotive or complex mechanical product development.
• Advanced proficiency in 3D CAD modeling, assembly design, engineering drawing development, and release processes.
• Strong working knowledge of GD&T and engineering drawing interpretation.
• Experience supporting cross-functional design reviews, packaging studies, and manufacturability assessments.
• Strong understanding of mechanical systems, component interfaces, materials, and production processes.
• Excellent communication, organizational, problem-solving, and collaboration skills.

Experience with many of the following technical tools and systems is also beneficial:

• CATIA V5
• CATIA 3DEXPERIENCE
• 3D solid modeling
• surface modeling
• large assembly management
• parametric design
• 2D detailing and drawing release
• Teamcenter
• product lifecycle management systems
• engineering release systems
• revision control
• configuration management
• Teamcenter Visualization
• VisMockup
• digital mockup tools
• interference detection
• package analysis
• interface management
• tolerance stack-up tools
• DFMEA support tools
• CAE coordination processes
• design-for-manufacturing reviews
• Microsoft Excel
• Microsoft PowerPoint
• Microsoft Word
• issue tracking systems
• project timing tools
• collaboration platforms

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You will analyze how users think, feel, and behave in interaction with AI systems,especially in high-risk contexts such as self-harm, manipulation, coercion, and influence,and translate these insights into decision-ready risk assessments, mitigation strategies, and product guidance.

This role bridges clinical/behavioral expertise and intelligence analysis, turning psychological signals and patterns into structured judgments, early indicators, and actionable recommendations.

You will partner closely with investigators, engineers, policy, and trust & safety teams to shape how we understand and mitigate potential risks in human-AI interactions.

Key responsibilities include:

• Developing insights into how AI systems are used in complex or high-risk situations (e.g., self-harm, suicidal ideation, substance-use escalation, and threats of violence), identifying recurring patterns and emerging trends that help guide product, safety, and policy decisions.

• Synthesizing behavioral, psychological, and intelligence signals into clear narratives about user needs, system dynamics, and potential areas of risk or vulnerability.

• Producing decision-ready briefs and assessments that inform product, safety, and policy decisions.

• Developing and refining behavioral risk frameworks, taxonomies, and indicators (e.g., severity models, escalation pathways, psychological harm categories).

• Identifying early indicators of emerging issues and assessing whether observed patterns represent meaningful safety concerns, helping prioritize and inform appropriate mitigations.

• Assessing the effectiveness of mitigations,such as product changes, safeguards, and guidance,using behavioral evidence and real-world outcomes.

• Contributing to incident reviews and post-incident analysis by bringing a behavioral perspective to root cause analysis and prevention.

• Bridging research and operations, translating academic and clinical literature into practical safeguards, policies, and product decisions.

You might thrive in this role if you:

• Bring 5+ years in forensic, clinical, trust and safety, or applied academic settings assessing risk of violence, self-harm, or addiction, with strong mixed-methods research skills.

• Have familiarity with AI systems, language models, or human-AI interaction dynamics, and are interested in applying psychological expertise to emerging AI risks (experience working on AI safety, trust & safety, or related domains is a plus).

• Can translate human behavior into structured intelligence, connecting individual cases to system-level patterns and risks.

• Are comfortable working across qualitative and quantitative inputs, including casework, interaction data, research literature, and metrics.

• Have experience designing or using risk frameworks, taxonomies, or evaluation methods to structure ambiguity.

• Communicate clearly across disciplines, turning complex behavioral insights into concise, actionable recommendations.

• Thrive in fast-moving, ambiguous environments, and can prioritize effectively under uncertainty.

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This includes the User Interface (UI) and User Experience (UX) layers, as well as supporting middleware, services, and vehicle integration,particularly for electrification-related features such as charging, energy management, range insights, and battery status.

Operating at the intersection of Product, Design, Engineering, and Electrification, the SPE plays a critical leadership role in aligning cross-functional teams and ensuring high-quality feature execution.

This role requires a strong understanding of engineering systems and EV domain concepts, enabling effective translation of product, technical, UX/UI, and electrification requirements into clear, actionable work items and solutions.

The SPE owns and drives backlog strategy and execution within Jira, including story creation, refinement, grooming, and triage.

By incorporating Product Owner responsibilities, the SPE ensures well-defined acceptance criteria, alignment with program priorities, and readiness for implementation across multiple teams.

This role is accountable for cross-team coordination, dependency and risk management, and integrated validation from concept through launch, ensuring predictable program execution and high-quality release outcomes.

With broad organisational influence, the SPE partners closely with Product Management, Digital Product Design, Electrification teams, engineering scrum teams, and testing organisations to ensure seamless integration, feature readiness, and a consistent, customer-centric experience across vehicle platforms.

Responsibilities:

Own the end-to-end engineering lifecycle for a set of features or digital experience domains from concept through release sign-off, including electrification-focused features

Define the product execution path by answering: “What should we build, why does it matter, and how do we build it the right way?”,with consideration for both UX excellence and EV customer needs.

Translate PRDs, design artifacts, system behaviour requirements, and electrification use cases into clear software deliverables,epics and sprint-ready user stories with well-defined acceptance criteria in Jira.

Lead feasibility assessment, scope definition, and backlog readiness for PI planning; manage change/churn while protecting milestones.

Drive cross-functional alignment with Product, Digital Product Design, Architecture, Engineering, and Test teams to ensure shared understanding of intent, priorities, dependencies, and Electrification/EV-specific behaviours.

Define and manage feature dependencies and blockers across HMI, services, platform, vehicle signals, and electrification systems.

Validate end-to-end feature behaviour on bench/vehicle through demos and product truth sessions; ensure implementation matches UX intent, functional expectations, and real-world EV usage scenarios.

Lead defect triage and prioritisation for owned features; drive issues to closure through root-cause direction, retest strategy, and stakeholder communication.

Maintain clear execution visibility via epic status summaries, risk registers/mitigation plans, and regular stakeholder updates.

Ensure test coverage alignment by reviewing/confirming that test cases map to story acceptance criteria, edge cases, and electrification scenarios (e.g., charging interruptions, low battery states).

Identify and define logworthies and analytics instrumentation required for each feature, including EV-specific telemetry (charging sessions, energy usage, range accuracy).

Qualifications:

Education: BS in Engineering, Computer Science, or related technical field

Experience: 5+ years delivering complex, cross-functional software features in embedded, automotive, or adjacent domains; demonstrated ownership across multiple teams and releases.

Direct experience with Android Automotive/QNX, infotainment HMIs, and automotive middleware/service architectures.

Familiarity with electrification concepts such as battery state of charge (SoC), charging workflows (AC/DC fast charging), range estimation, and energy consumption modelling,without requiring deep hardware or electrical design expertise.

Backlog leadership: Proven ability to author high-quality epics and user stories (clear scope, testable acceptance criteria, dependency mapping) and drive Agile execution (grooming, PI planning, sprint delivery).

Systems integration mindset: Ability to reason about end-to-end behaviour across HMI ↔ middleware/services ↔ vehicle signal access (via API abstraction), including electrification data flows (battery, charging, energy systems), and drive integration/validation outcomes.

Technical proficiency: Strong technical depth to lead engineers,comfortable with architecture discussions, interface contracts, and failure-mode thinking.

Diagnostics/triage: Experience leading defect triage using logs and traces (e.g., ADB/dev logs; CAN trace familiarity), defining diagnostic logging (logworthies), and driving disciplined prioritisation/closure.

Tools: Proficiency with Jira and Confluence; comfortable creating traceability to requirements/design artefacts and managing dependencies.

Communication/leadership: Strong cross-functional leadership skills,can drive decisions, align stakeholders, and communicate risks/status crisply to technical and non-technical audiences.

Preferred qualifications:

Experience with electrification-focused features such as charging experiences, route planning with charging stops, or energy insights within automotive or mobility platforms.

Experience with test management tools and reviewing test coverage against acceptance criteria.

Knowledge of automotive program cadence and release gating (launch milestones, OTA readiness, in-field defect handling).

Proficiency with CAN-based feature behaviours and vehicle state modelling; exposure to tools such as CANalyzer/Wireshark (or similar).

Exposure to EV ecosystem integrations such as charging networks, Plug & Charge, or mobile app–vehicle energy feature interactions.

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Estimated Base Salary $295K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Team Description

OpenAI is looking for exceptional researchers to join the Post-Training Frontiers team, which is responsible for post-training the agentic models we ship across Codex, the API, ChatGPT Thinking, and ChatGPT Pro. The Post-Training Frontiers team sets up the pipeline for deciding which integrations can go into the post-training run, develops its own horizontal improvements to the model, and trains the final model.

Responsibilities

• Own end-to-end research and engineering projects that improve the final post-training of OpenAI’s agentic models.

• Decide, together with partner teams, which integrations are ready for inclusion in major model runs.

• Develop horizontal model improvements across factuality, instruction following, tool/function calling, multi-agent behavior, reasoning-effort calibration, and other broad capabilities.

• Build and improve training, evaluation, grading, and data infrastructure for large-scale RL/post-training runs.

• Create evals and diagnostics that help us understand whether a model is ready to ship.

• Improve the feedback loop from real product usage into post-training, including better ways to learn from implicit user feedback.

• Collaborate closely with Codex, API, ChatGPT, product, training, and other post-training teams to make frontier models more useful, reliable, and agentic.

Nice to have

• Experience with large-scale model training or RL systems.

• Experience building evals, graders, reward models, or data pipelines for LLM training.

• Experience with coding agents, tool-using agents, browser/computer-use agents, function calling, or multi-agent systems.

• Background in quant, systems, infra, or other environments where you built reliable machinery for high-stakes experimentation.

• Evidence of strong product taste, especially around writing, design, code generation, or agent workflows.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Your focus will span end-to-end semiconductor workflows, from chip design and verification through tooling and manufacturing-adjacent systems. You will help expand OpenAI's footprint across the stack, shaping how frontier models are applied throughout the semiconductor lifecycle.

You will measure success through production adoption, cycle-time reduction, engineer productivity gains, and evaluation-driven feedback loops that inform product, model, and platform strategy. You'll work closely with Product, Research, GTM, and Partnerships to turn early wins into a durable semiconductor vertical offering.

This role operates in environments where correctness, scale, and trust matter , regressions cost weeks, failures block tape-out, and credibility is earned through technical rigor.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will:

• Design and ship production AI systems around models, owning integrations with RTL repositories, verification environments, simulators, and internal tooling.

• Lead discovery and scoping from pre-engagement through production rollout, translating ambiguous engineering pain points into hypothesis-driven use cases with measurable outcomes.

• Deliver AI-powered verification workflows such as change-aware test selection, directed test generation, and intelligent regression triage, taking them from prototype to daily production use.

• Build systems that operate over large, evolving codebases and artifacts (RTL, tests, logs, waveforms, traces), where performance, latency, and failure handling shape architecture.

• Define and run evaluation loops that measure model and system quality against workflow-specific benchmarks (e.g., coverage, false positives, debug time, iteration speed).

• Own delivery state across multiple workstreams, making trade-offs between scope, speed, and robustness to protect production impact.

• Distill deployment learnings into hardened primitives, reference implementations, playbooks, and tooling that can be reused across customers.

• Surface field insights that inform model behavior, tooling gaps, and future product direction across the semiconductor stack.

You might thrive in this role if you:

• Bring 5+ years of engineering experience in chip design, verification, EDA, or FPGA development (including RTL design, timing closure, and hardware/software co-design), or closely adjacent systems domains such as firmware, distributed systems, compilers, or performance-critical infrastructure.

• Have worked directly with RTL, verification environments, simulators, or large-scale performance/debug tooling , or have partnered closely with teams who do.

• Have delivered complex systems end-to-end in environments where scale, correctness, and long feedback loops shaped how you build and ship.

• Write and review production-grade code in Python and/or systems-adjacent languages, and are comfortable integrating across heterogeneous toolchains.

• Have experience deploying or experimenting with LLM-powered systems and understand how model behavior, evaluation, and guardrails affect trust and adoption.

• Communicate clearly with hardware engineers, software engineers, product teams, and executives, translating technical trade-offs into delivery decisions.

• Apply systems thinking with high execution standards, turning failures, regressions, and unexpected model behavior into improved operating patterns.

• Stay calm and decisive in technically deep, high-stakes environments where progress depends on credibility and follow-through.

Success in this role means shipping AI systems that semiconductor engineers trust in their daily workflows, establishing repeatable deployment patterns across chip design and verification, and helping OpenAI become a long-term partner across the semiconductor ecosystem.

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Responsibilities:

• Design, develop, validate, and release parts for assigned programs
• Lead early development and system feasibility with studio and program management teams
• Ensure continuous design efficiency
• Meet corporate, local, and global regulatory requirements
• Manufacture and assemble parts efficiently

Qualifications:

• Bachelor's or foreign equivalent degree in mechanical engineering, electrical engineering, electronics engineering, or a related field
• 3+ years of experience in development of automotive body exterior systems in an engineering role
• Experience with studio interface of Class "A" Parts
• CAD experience with TCE/CATIA/3DX. Parametric modeling experience preferred
• Knowledge of craftsmanship expectations, and benchmarking
• Knowledge of Exterior Systems and packaging requirements
• Demonstrated ability to lead team to resolve complex packaging issues
• English proficiency; fluid speaker with ability to negotiate and lead small team
• Technical communication skills (Presentations & Negotiations)
• Meeting/time management (Recurrence, Agenda, expected outcomes, time management, minutes)
• Microsoft Office Tools proficiency (Word, Excel, Outlook, and Power Point)
• Knowledge of exterior systems commodity manufacturing processes

Preferred qualifications include Lean Six Sigma Green or Black belt, self-motivated with Continuous Improvement Mindset, and creative thinker capable of developing solutions.

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As an early member of the Value Engineering team, you will help define how OpenAI measures and communicates the real-world impact of AI across its customers. You will partner closely with Sales, AI Success Engineers, AI Deployment Engineering, and Product teams to identify high-impact AI use cases and build financial and operational business cases. Your work will directly influence executive alignment, investment decisions, renewals, and long-term expansion.

You will play a key role in helping build and shape the value engineering function from the ground up , developing repeatable frameworks, ROI models, value narratives, dashboards, and collateral that help internal teams and customers understand and measure the impact of AI adoption.

Success in this role is measured by how clearly customers and internal teams can quantify the value of AI, how effectively business cases support adoption and expansion, and how scalable value frameworks become across the GTM organization.

In this role, you will: Lead business value assessments for our largest deals, working closely with customers to identify key business drivers and quantify the value of OpenAI's products to support investment decisions Build and maintain standardized ROI, TCO, and value modeling tools for internal and customer use Lead structured value discovery to identify high-impact use cases and define measurable outcomes Publish executive-ready business cases that quantify results and strengthen relationships with C-level stakeholders Codify value frameworks, methodologies, and reusable assets that scale value-based selling across the global GTM organization Establish baselines, KPIs, and dashboards to track and communicate value delivery Partner closely with Account Directors and post-sale teams to influence deal strategy, renewals, and expansion opportunities Contribute to thought leadership on AI-driven business transformation by identifying emerging patterns in how organizations realize value from AI

You will thrive in this role if you: Bring 6–10 years of experience in value engineering, management consulting, or adjacent roles Have strong financial and analytical skills, with experience quantifying and presenting value to executive stakeholders Demonstrate exceptional executive presence with strong written, verbal, and presentation skills Have experience working on large-scale AI, cloud, or digital transformation initiatives Communicate with clarity and confidence across technical and business audiences Can translate AI capabilities into compelling financial, productivity, and workforce transformation narratives Enjoy managing multiple complex customers and driving toward concrete, measurable outcomes Demonstrate humility, curiosity, and a customer-first mindset Operate with high ownership, urgency, and comfort navigating ambiguity Are a creative builder who thrives in 0→1 environments and enjoys rolling up your sleeves to balance strategic thinking with hands-on execution

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If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people's lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. You will join a cloud architecture team that works closely with engineering teams and other architects across the organisation.

Responsibilities

Technical Requirements

• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee.

• Security & Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies.

• Data Management: Proficiency in Enterprise Data Platforms, Data mesh architecture and data-driven architectural patterns.

• DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA.

• Software Engineering: Strong background in building Web Services and maintaining Clean Code standards.

Technical Leadership & Strategy

• System Design: Work with engineering teams to refine system designs, evangelising for horizontal scalability, resilience, and Clean Code compliance.

• Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology.

• Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices.

• DevOps Excellence: Utilise and improve CI/CD pipelines using GitHub and automated testing/security tools to maximise deployment efficiency and minimise risk.

Cloud, Networking & Security

• Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring 'Secure-by-Design' principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner).

• Advanced Networking: Design and optimise cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency.

• Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilising Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).

• API & Data Contracts: Bolster 'Data as a Product' practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.

• FinOps & Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.

• SRE & Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.

• DevSecOps & Problem Solving: Integrate security automation into CI/CD pipelines to ensure 'Secure-by-Design' deployments while solving complex architectural trade-offs between speed, scale, and risk.

• Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc

Nice to Have

• AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.

• Agentic & GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.

• Kubernetes (GKE): Experience managing containerised workloads at scale.

• Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.

• MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.

Qualifications

You'll have...

• Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field

• 5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)

• 2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.

• Experience designing/architecting and running distributed systems in a production environment

• STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation

Even better, you may have...

• Master's degree in computer science, electrical engineering or a closely related field of study

• Familiarity with a breadth of programming languages, platforms, and systems

• Experience with asynchronous messaging and eventually consistent system design

• An agile, pragmatic, and empirical mindset

• Critical thinking, decision-making and leadership aptitudes

• Good organisational and problem-solving abilities

• MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more

• Vehicle discount programme for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

XML job scraping automation by YubHub

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is The World’s Identity Company. We free everyone to safely use any technology,anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

The Buying Programs Strategy & Operations Team

Okta’s Buying Programs Strategy & Operations team is responsible for closing complex commercial contracts by providing Sales teams with business process and policy insights, as well as strategic and operational support. The team sits within the broader Go-To-Market Strategy and Operations organization, which drives strategy through execution for Okta’s durable growth.

As a member of GTM S&O, you will have the opportunity to learn about and contribute to Okta's business from all angles, including standardizing policies and systems to scale operations as well as collaborating with product teams to roll out new offerings.

The Manager, Deal Strategy Opportunity

In this role, your primary function will be to strategically and effectively model and structure non-standard proposals and contracts that mutually benefit Okta and its Customers in EMEA. You will be well-positioned as the “pulse” of the business and strategic adviser to the Sales organization.

If you have a successful track record of thriving in ambiguity within a rapidly growing environment and solving complex problems, this is your role.

What you’ll be doing

Serve as an expert on deal structuring, pricing, commercial terms, processes, and policies

Ensure all non-standard commercial terms are reviewed, approved, and documented correctly in accordance with Revenue Operations requirements

Strategize with Sales and internal stakeholders, including Accounting, Revenue Operations, Legal, Compliance, and Product to structure and position complex deals

Provide Revenue Operations and Accounting teams with context and clarification on complex deal structures and metric treatment related to booking, invoicing, internal reporting, etc.

Collaborate with and provide guidance and deal insights to cross-functional teams to drive change and proactively design solutions to solve complex problems

Maintain a holistic view of a deal during contract negotiations; driving internal stakeholder discussions and resolution on customer concerns or key business issues that arise during negotiation

Build scalable and efficient processes to operationalize excellence to ensure timely and accurate closure of deals

Identify deal trends and develop and implement best practices with a data-driven mentality

Partner with sales leadership to identify areas of opportunity and provide detailed insights into the business

What you’ll bring to the role

Minimum 5 years of Sales support experience in the technology industry with at least 3 years experience in a Deal Desk role

A willingness to enforce deal governance and compliance policies with a thorough understanding of the SaaS revenue model and reporting

Demonstrated project management experience or participation in process improvement efforts

Excellent communication skills, written & verbal, with the ability to explain complex concepts clearly and effectively across all levels of the organization

Proven performance in negotiating and closing large enterprise SaaS agreements

Aptitude in prioritizing, maintaining attention to detail, and producing timely and quality work under high pressure and tight deadlines with the capacity to lead and engage in multiple initiatives at the same time

Strong research, analytical, and problem-solving competencies with a growth mindset

Proficiency in Salesforce and Google Workspace is required with intermediate knowledge of Excel and Tableau preferred

XML job scraping automation by YubHub

You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.

This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.

Key Responsibilities:

• Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.
• Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
• Develop performance models to guide decisions on:
• scale-up vs. scale-out architectures
• interconnect and network design
• memory hierarchy and system balance.
• Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
• Influence reference designs and vendor roadmaps through data-driven insights.
• Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.
• Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.
• Continuously improve modeling fidelity by validating against real system behavior and measurements.

Qualifications:

• Have experience owning or building performance modeling frameworks used to drive real system design decisions.
• Have deep knowledge of AI/ML workloads, including training and/or inference at scale.
• Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
• Are comfortable working across abstraction layers,from workload behavior to hardware implementation.
• Have experience using modeling (analytical or simulation) to inform architectural decisions.
• Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.
• Communicate clearly and influence both internal teams and external partners.

Preferred Skills:

• Experience working with hardware vendors (ODM/JDM, silicon, networking).
• Background in data center infrastructure or hyperscale systems.
• Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).
• Experience influencing hardware roadmaps or reference architectures.
• Prior experience leading or mentoring engineers.

XML job scraping automation by YubHub

You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.

This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.

Key Responsibilities:

• Define rack- and cluster-level reference architectures for AI infrastructure deployments.
• Translate workload requirements into clear system design specifications and partner deliverables.
• Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.
• Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).
• Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.
• Influence and shape vendor roadmaps to meet future infrastructure needs.
• Track emerging technologies and evaluate their applicability to AI systems.
• Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.
• Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

Qualifications:

• Have strong experience in system architecture for large-scale infrastructure or data center environments.
• Understand AI workload characteristics and how they map to system-level design decisions.
• Are comfortable working with performance modeling outputs to inform architectural direction.
• Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).
• Can drive alignment across multiple stakeholders with competing constraints.
• Have a track record of turning ambiguous requirements into clear, executable system designs.
• Are proactive in identifying gaps and driving solutions across organizational boundaries.

Preferred Skills:

• Experience defining rack- or cluster-level systems for hyperscale or AI workloads.
• Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.
• Experience influencing vendor roadmaps and reference designs.
• Background in infrastructure deployment, hardware engineering, or systems integration.
• Experience leading PoCs or early-stage hardware validation efforts.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

At OpenAI, we’re building AI systems that expand human capability and transform how work gets done. Our Go-To-Market (GTM) organization brings these capabilities to customers,driving adoption, usage, and long-term value.

About the Role

• You will operate at the center of the GTM organization, partnering closely with Sales, Marketing, Product, and Operations to identify gaps across pipeline generation, deal progression, and seller effectiveness.

• As the first hire in Sales Programs, you will define the function: what we invest in, how we prioritize, and how we measure impact. You’ll translate ambiguous business problems into structured programs, and ensure those programs are executed and scaled effectively.

What You’ll Do

• Identify and prioritize high-impact growth opportunities across pipeline, conversion, and sales productivity.

• Partner with GTM leadership to define priorities and translate business goals into program strategy.

• Design and scale programs that drive pipeline generation, accelerate deal cycles, and improve win rates.

• Translate ambiguous, strategic priorities into structured, executable, and repeatable initiatives.

• Own program success end-to-end, including defining metrics, tracking performance, and driving accountability.

• Lead cross-functional execution across Sales, Marketing, Product, Enablement, and Operations.

• Align senior stakeholders on priorities, timelines, and outcomes while navigating ambiguity and tradeoffs.

• Build and evolve the operating system for sales programs, including frameworks, processes, and feedback loops.

• Influence GTM strategy through data-driven insights, program performance, and field feedback.

What We’re Looking For

• 8–12+ years of experience in GTM strategy, business operations, sales programs, or management consulting.

• Strong analytical skills and experience using data to inform strategy and execution.

• Track record of building and scaling cross-functional initiatives with measurable business impact.

• Experience working closely with sales teams and understanding complex GTM motions.

• Ability to operate in ambiguous, fast-moving environments and drive outcomes.

• Clear, structured communicator with experience influencing senior stakeholders.

Preferred Qualifications

• Experience in high-growth SaaS, AI, or platform companies.

• Familiarity with enterprise and product-led GTM models.

• Experience building new functions or operating models from scratch.

• Comfort working with CRM data and GTM systems.

Why This Role Matters

• This role will define how Sales Programs operate at OpenAI. The systems and programs you build will directly shape how we generate pipeline, convert opportunities, and scale our GTM organization.

• You’ll be responsible for turning strategy into execution,and building the foundation for how we grow.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

XML job scraping automation by YubHub

Your success will be measured through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Sydney and requires travel up to 50%. We offer relocation assistance and a hybrid work model of 3 days in the office per week.

If you have 5+ years of engineering or technical deployment experience, including customer-facing work, and have scoped and delivered complex systems in fast-moving or ambiguous environments, we'd love to hear from you.

Key responsibilities include:

• Owning technical delivery across multiple deployments from first prototype to stable production.
• Building full-stack systems that deliver customer value and sharpen how we learn.
• Embedding closely with customer teams, understanding their needs, and guiding adoption of what you build.
• Scoping work, sequencing delivery, and removing blockers early.
• Making trade-offs between scope, speed, and quality; adjusting plans to protect delivery.
• Contributing directly in the code when progress or clarity depends on it.
• Codifying working patterns into tools, playbooks, or building blocks that others can use.
• Sharing field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keeping teams moving through clarity and follow-through.

If you're a collaborative problem-solver with excellent communication skills and a passion for delivering complex systems, we encourage you to apply.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity. The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond.

About the Role

This role is responsible for ensuring the on time and quality delivery of the compute capacity that continues to unlock the best frontier AI models in the world. The role will work across multiple delivery suppliers and various delivery models to ensure OpenAI has the right capacity, at the right time.

You’ll be responsible for:

• Direct accountability to capacity delivery as it ties to contract and business demands.
• Relationship management with each of our core delivery partners
• Executive communications on delivery status, challenges, and mitigations.
• Partnership within the industrial compute domain, from our deals team through to sustaining operation of the capacity.
• The role will manage a team of industrial leaders focused on capacity delivery through our partnerships.

We’re looking for someone with:

• Hyperscale data center experience or equivalent
• A deep understanding of delivery models, experiences and risk management.
• Strong executive presence
• Excellent managerial and leadership skills
• Ability to have significant influence on delivery outcomes with limited direct ownership of contracted models.
• A good to strong understanding of the underlying architecture (e.g. Cerebras, AMD, TPUs, Nvidia platforms (current and next-gen), Trainium, etc) would be a great benefit.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

$230K – $342K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits connexion

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

We’re hiring a Data Scientist to support People Innovation Labs, a fast-moving engineering team embedded in the People organization focused on rethinking how we find and retain the best talent and empower everyone to do their best work.

From recruiting to culture, we’re designing systems and products that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

In this role, you’ll be embedded with Product and Engineering to ensure our work drives measurable business outcomes.

What You’ll Do

• Define success metrics for agentic recruiting and HR systems, including leading indicators that enable weekly iteration.

• Design measurement and experimentation frameworks for always-on systems across every stage of the candidate and employee lifecycle , using holdouts, staged rollouts, and quasi-experimental methods when needed.

• Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.

• Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.

• Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.

What We’re Looking For

• 10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company or in the internal people software space.

• Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.

• Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.

• Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).

• Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.

• Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.

• Interest in building company culture and/or recruiting the world’s most talented people.

Nice to Have

• Familiarity with large language models and AI-assisted operations platforms.

• Experience working on operational automation and decision systems (routing, prioritization, optimization).

• Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

XML job scraping automation by YubHub

Location: San Francisco

Department: Legal

Job Type: Full time

Work Arrangement: Hybrid

Compensation

$216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises legal professionals from diverse fields, including technology, privacy, IP, corporate, cybersecurity, employment, tax, regulatory, and litigation.

About the Role

As a Senior Legal Program Manager focused on regulatory compliance, you will lead and manage large-scale, cross-functional initiatives to ensure OpenAI meets its obligations under evolving global regulatory frameworks. Your work will span areas such as AI governance, risk management, transparency, as well as privacy and model compliance. This role places you at the center of emerging legal and compliance challenges in artificial intelligence.

You will collaborate closely with other legal program managers and product teams, and partner with internal and external counsel to build and execute compliance programs that scale. You’ll help define operational systems and legal infrastructure to proactively address regulatory requirements across OpenAI’s products and practices. This is a unique opportunity to shape how cutting-edge AI technology is responsibly developed and deployed within a complex legal and regulatory landscape.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Lead global compliance for hardware launches, ensuring products meet regulatory and consumer law obligations across all launch jurisdictions.

• Monitor and manage global regulatory requirements for hardware, including tracking regulatory developments and updating compliance plans accordingly.

• Own requirements tracking for physical product compliance, including packaging inserts, labeling, and consumer disclosures across markets.

• Drive launch readiness for warranties and consumer terms, partnering closely with Product Marketing and Legal.

• Identify risks and drive cross-functional resolution strategies in collaboration with subject-matter experts.

You might thrive in this role if you:

• 8+ years of experience in program or project management.

• Experience managing programs at a fast-paced technology company.

• Deep experience building and scaling hardware compliance programs.

• Proven ability to drive complex cross-functional programs, set milestones, and synthesize input from diverse stakeholders.

• Strong ability to operate in ambiguity and shifting priorities.

• Excellent organizational, analytical, and communication skills, with strong ownership and judgment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

XML job scraping automation by YubHub

$288K – $320K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.

The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new and emerging classes of risk. This enables our partner teams to develop data-backed policies and safety mitigations. Precisely understanding how models behave in real-world conditions allows us to safely enable users to build useful things with our products.

About the Role

As an Abuse Investigator focused on AI Self-Autonomy and Agentic Risk on the Intelligence and Investigations team, you will be responsible for identifying and investigating cases where models exhibit autonomous or agentic behavior, including chaining capabilities, acting with increasing independence, or demonstrating patterns that may introduce safety risk. This includes detecting behaviors that are not explicitly intended, understood, or covered by existing safeguards.

This role requires deep domain-specific expertise in identifying, understanding, and mitigating risk from agentic systems, model autonomy, and AI self-improvement signals. You’ll need experience investigating complex systems where behavior emerges across multiple steps, tools, or interactions, and the ability to distinguish between normal task execution and concerning patterns such as persistence, workaround behavior, or capability expansion. You’ll need a proven ability to navigate ambiguous signals in a rapidly evolving and highly technical environment.

This role is based in our San Francisco office. Investigations may involve reviewing complex or sensitive model behaviors and edge-case outputs, requiring strong judgment and resilience in high-pressure environments.

In this role, you will:

• Review leads, investigate model behavior, and identify cases where systems demonstrate agentic or autonomous patterns that that introduce safety risks

• Detect and analyze behaviors such as multi-step planning, capability chaining, tool use, persistence, and workaround behavior

• Develop signals and tracking strategies to help proactively identify emerging agentic risk patterns across our platform

• Identify gaps in existing safeguards, evaluations, or monitoring systems and propose improvements

• Communicate investigation findings clearly to technical, policy, and leadership stakeholders

• Be someone people enjoy working with and appreciate the opportunity to help others

You might thrive in this role if you:

• Have deep expertise in investigating complex, adversarial, or emergent system behavior, ideally in AI safety, security, cyber, or trust & safety environments

• Have strong familiarity with technical investigations, especially using SQL, Python, or similar tools, in a government, research, or technology setting

• Have experience analyzing multi-step systems, automation, or agentic workflows, and understanding how behaviors emerge across interactions

• Have at least 6 years of experience conducting investigations, threat analysis, or research in complex and ambiguous domains

• Have experience identifying failure modes, unintended behaviors, or system-level risks, particularly in AI or software systems

• Have at least two years of experience helping to develop automated or scalable approaches to detection or investigation

• Experience presenting analytic work in technical, research, or policy settings

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to creating a diverse and inclusive workplace.

XML job scraping automation by YubHub

While this work intersects with frontier model development, security and risk, we're explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale.

Responsibilities:

• Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.

• Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.

• Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.

• Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.

• Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.

• Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.

• Anticipate what breaks at scale as agentic workflows become more capable.

Requirements:

• Experience building systems in adversarial, fast-evolving environments

• Are comfortable with ambiguity and novelty

• Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments)

• Communicate clearly and build trust quickly with senior stakeholders,pragmatic, collaborative, and calm under scrutiny.

• Significant experience leading engineering teams and delivering production systems end-to-end.

• Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.

• Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale.

• Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches.

• Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

Benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

XML job scraping automation by YubHub

$380K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.

About the Role

In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.

Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.

This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.

In this role, you will:

• Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.

• Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.

• Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.

• Implement and optimize inference-critical operators and kernels informed by real-world workloads.

• Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.

• Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.

• Contribute to observability, correctness, and reliability of large-scale AI systems.

You might thrive in this role if you:

• Have experience building production inference systems, not just training or running models.

• Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.

• Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.

• Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.

• Are able to understand research ideas and implement them within real system and performance constraints.

• Enjoy solving hard, ambiguous systems problems that only emerge at scale.

• Prefer hands-on technical ownership and execution over abstract design work.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Required Skills

• Experience building production inference systems, not just training or running models

• Comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs

• Multi-GPU or distributed systems involving batching, scheduling, or runtime coordination

• Reasoning end-to-end about inference pipelines, from request handling through execution and output streaming

• Understanding research ideas and implementing them within real system and performance constraints

• Solving hard, ambiguous systems problems that only emerge at scale

• Hands-on technical ownership and execution over abstract design work

Preferred Skills

• Experience working with large-scale AI models

• Distributed inference across multiple GPUs

• Parallelism strategies, communication patterns, and runtime coordination

• Implementing and optimizing inference-critical operators and kernels

• Observability, correctness, and reliability of large-scale AI systems

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.

About the Role

We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.

In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.

Key Responsibilities

• Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.

• Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.

• Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.

• Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.

• Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.

• Work with silicon and hardware vendors on roadmap influence, feature requests, qualification plans, and technical escalations.

• Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.

• Partner with networking and cluster architecture teams to optimize end-to-end node design and data movement.

• Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.

• Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.

• Translate future AI workload requirements into infrastructure platform specifications.

• Provide technical leadership across cross-functional stakeholders and executive reviews.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred.

• 10+ years of experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms.

• Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design.

• Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints.

• Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines.

• Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability.

• Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred.

• Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors.

• Strong systems thinking with ability to connect component decisions to fleet-level outcomes.

• Excellent communication skills with the ability to influence engineering and executive stakeholders.

• Proven ability to operate in fast-moving, ambiguous environments with high ownership.

Preferred Skills

• Experience designing infrastructure for large-scale AI or HPC environments.

• Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems.

• Experience with distributed storage architectures supporting GPU clusters.

• Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale.

• Prior experience in hyperscale cloud, AI infrastructure, or advanced compute environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County

XML job scraping automation by YubHub

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take-charge, take-initiative, get-stuff-done individual we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

As the Head of People Analytics & Innovation, you will build and lead ZoomInfo's people analytics function from the ground up. Reporting to the SVP of Organizational Effectiveness, you will own the end-to-end analytics strategy for HR , designing and shipping AI-powered tools, predictive and prescriptive models, dashboards, and research that drive executive decision-making on talent, workforce planning, and employee experience. This is a hands-on, player-coach role: you will set the vision for what we build, write the code to build it, and hire and develop a small, high-impact team (2 ICs) to scale the function. The ideal candidate combines deep technical fluency (Python, statistics, SQL, AI/ML) with the strategic judgment to translate people data into business outcomes and the builder mentality to stand up new capabilities from scratch.

Responsibilities

• Build and lead ZoomInfo's People Analytics & Innovation function, including hiring, developing, and managing two individual contributors
• Define and execute the people analytics strategy and roadmap, translating HR and business priorities into a pipeline of high-impact analytics projects and AI-powered tools
• Design and build custom AI tools, automation, and applications (using Python, MCPs, LLMs, and related technologies) that fundamentally improve how HR operates and makes decisions
• Develop predictive and prescriptive models across workforce planning, attrition/retention, engagement, talent mobility, and employee experience
• Create and maintain executive-ready dashboards, reports, and data visualizations that surface actionable insights for senior leadership
• Own the design, deployment, and analysis of enterprise-wide qualitative instruments (e.g., employee surveys, pulse checks) and synthesize findings into strategic recommendations
• Partner with HR leadership and cross-functional stakeholders to identify high-value analytical questions, scope projects, and deliver data-driven recommendations
• Transform complex analytical findings into clear, compelling narratives and presentations for executive audiences, including the ELT
• Establish scalable data infrastructure, governance frameworks, and measurement processes that enable a self-service analytics culture over time
• Stay current on emerging trends in people analytics, AI/ML, and HR technology , and proactively identify opportunities to apply them at ZoomInfo
• Collaborate with global Compliance, Privacy, Legal, and Risk teams to ensure people analytics initiatives adhere to regulatory requirements, data privacy standards, and internal governance policies
• Partner with enterprise Data Engineering and Infrastructure teams to architect, test, and deploy analytics solutions and AI tools into production environments
• Foster a team culture of experimentation, intellectual curiosity, and bias toward action

Requirements

• 8+ years of progressive experience in people analytics, workforce analytics, HR data science, or a related quantitative field
• 3+ years of experience managing or leading an analytics team, including hiring, coaching, and developing talent
• Demonstrated experience building AI/ML tools, applications, or automation from scratch in a professional setting (not just model training , full product delivery)
• Strong hands-on proficiency in Python and SQL; experience with data manipulation, statistical modeling, and building production-grade scripts and applications
• Experience working with modern AI/ML tools and frameworks (e.g., LLMs, GenAI APIs, MCP architecture, NLP)
• Proven ability to design and execute enterprise survey programs and translate qualitative data into quantitative insights
• Exceptional data storytelling skills , ability to synthesize complex analysis into clear, executive-ready communications
• Experience working with HRIS platforms (e.g., Workday) and analytics/BI tools (e.g., Snowflake, Tableau, Looker, or similar)
• Demonstrated track record of operating as a player-coach: setting strategy while personally delivering technical work
• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, I/O Psychology, Economics, Computer Science, or related)

Preferred

• Master's or Doctoral degree in a quantitative, business, or social science field (e.g., I/O Psychology, Data Science, Statistics, Organizational Behavior, Economics, Computer Science)
• Experience building a people analytics function or team from scratch
• Familiarity with MCP (Model Context Protocol) architecture and building AI agent workflows
• Experience with Workday RAAS reporting and Snowflake data environments
• Background in building self-service analytics platforms or democratizing data access within an organization
• Experience at a high-growth technology company or a company that has undergone significant organizational transformation

Compensation

The US base salary range for this position is $134,400 - $249,600 + bonus + equity + benefits.

Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

XML job scraping automation by YubHub

Your responsibilities will include:

• Technical Ownership & Execution: Own the end-to-end technical execution of the IVI Camera and ADAS HMI software from early design through production release.
• Architecture & Design: Own and lead architecture and design for camera, parking and trailering HMI features, define interfaces and confirm specification completeness before software implementation begins.
• Cross-Functional Leadership: Partner closely with Product, Design, UX/UI, and core ADAS engineering teams to shape feature direction.
• Agile & Technical Planning: Translate product intent and UI/UX flows into engineering-ready technical stories for IVI SW stack.
• Validation & Root Cause Triage: Lead defect triage with a focus on technical root cause isolation using vehicle logs and debug traces.

You will have the opportunity to work on a wide range of exciting projects, from developing new features to improving existing ones. You will be part of a collaborative and dynamic team that values innovation, creativity, and open communication.

Ford Motor Company offers a comprehensive benefits package, including immediate medical, dental, vision and prescription drug coverage, flexible family care days, paid parental leave, and tuition assistance. Visa sponsorship is available for this position.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings together the world's best scientists, engineers, and business professionals. Our Go-To-Market (GTM) organization helps customers understand, adopt, and scale OpenAI's products and platform. Revenue Operations partners closely with Sales, Finance, and HR/People to drive disciplined planning and performance management. The GTM Planning team defines how company strategy translates into targets, segmentation, and coverage models that guide execution in the field, ensuring our GTM approach remains both analytically rigorous and operationally executable as we scale.

About the Role

We are hiring a GTM Planning operator to own target setting, segmentation, and coverage design centrally across our GTM organization. This is a high-impact individual contributor role responsible for defining how we set targets, structure GTM teams, and deploy coverage across segments and geographies. You will translate company growth goals into clear, actionable plans for the field and drive consistency and rigor across GTM planning processes. You will partner closely with Sales, Technical Success, and Finance leadership to shape planning decisions, frame tradeoffs, and continuously evolve how we maximize growth and efficiency.

Responsibilities

• Define and own the GTM region & segment target-setting methodology

• Translate company-level revenue goals into quotas across segments, roles, and region

• Drive tradeoffs across growth, efficiency, and coverage in partnership with Finance and GTM leadership

• Define customer and market segmentation (e.g., enterprise, midmarket, SMB, industry verticals, product motions)

• Continuously refine segmentation based on core KPIs and market dynamics

• Ensure segmentation is consistently applied across planning and territory execution

• Evolve coverage models in partnership with GTM leadership to optimize growth, efficiency, and customer engagement

• Analyze GTM performance drivers (e.g., attainment, segment performance, book size, coverage ratios)

• Identify opportunities to improve growth and efficiency

• Translate analysis into clear, actionable recommendations for leadership

• Partner closely with Sales leadership to ensure plans are credible and executable in the field

• Incorporate field feedback into planning iterations

• Deliver clear, executive-ready narratives to support planning decisions

• Drive how targets and segmentation are implemented in systems (e.g., Salesforce, BI tools)

• Partner with data and systems teams to ensure accuracy, scalability, and consistency

• Improve usability and reliability of planning data across GTM workflows

Requirements

• 7+ years of experience in Sales Strategy, GTM Strategy & Planning, Revenue Operations, or similar roles in a high-growth B2B environment

• Direct experience owning or heavily contributing to target setting, quota development, segmentation, and/or territory design

• Strong understanding of GTM mechanics (quota setting, territory design, book construction, coverage models)

• Deep modeling experience, including capacity modeling and topline / target setting (e.g., financial plans, quotas) to support GTM planning decisions

• Proven ability to translate business goals into structured plans and field-ready targets

• Advanced analytical skills (SQL, spreadsheets, BI tools such as Tableau) and experience with and planning platforms (e.g., Anaplan or similar tools)

• Strong communication and stakeholder management skills with the ability to influence senior leaders

Nice to Have

• Experience in consumption-based or usage-based models (e.g., API, PLG, hybrid motions)

• Experience in multi-product or rapidly evolving GTM environments

• Familiarity with AI products and the AI/ML ecosystem

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.

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This is an individual contributor role with broad cross-functional leadership: you will define the roadmap, prioritize high-impact use cases, run structured experiments, drive delivery across technical and non-technical teams, and measure adoption and business value. You will help turn fragmented tools, data, and processes into cohesive AI solutions that are secure, reliable, and usable in the real world.

You will work hands-on with leading ERP, HCM, CRM, planning, ticketing and data platforms (e.g., Oracle, Workday, Salesforce, Databricks, etc.), along with our own internal products and platforms, ensuring solutions are grounded in the realities of data quality, controls, governance, and operational ownership.

We’re looking for people who can move fluidly from understanding business process needs to defining product requirements and collaborating with internal product teams to improve solutions for our users.

In this role, you will:

• Identify and prioritize AI-driven opportunities to automate finance operations and adjacent enterprise workflows, enabling more efficient processes, better insights, and stronger execution.
• Partner with stakeholders to understand current-state processes, pain points, data dependencies, risk constraints, and success metrics, then translate those into clear product requirements and prioritized roadmaps.
• Define product requirements and develop lightweight prototypes to help guide engineering teams in building solutions that meet user needs.
• Design and lead pilots for AI-enabled workflows, including agentic tools, workflow automation, and custom applications, with clear hypotheses, rollout criteria, and measurable outcomes.
• Collaborate with Enterprise Platform Engineering and internal platform teams to adopt OpenAI technologies, such as Codex, as well as MCP-based actions and connectors that securely expose enterprise system capabilities to AI workflows.
• Coordinate secure data onboarding and integration across systems such as Oracle, Workday, Salesforce, Anaplan, Databricks, and external vendor platforms, partnering with data owners, IT, Security, Legal, and Risk as needed.
• Own delivery across technically and organizationally complex initiatives, aligning requirements, dependencies, and governance reviews, so teams can move from experimentation to scaled adoption.
• Track adoption, quality, and business impact through dashboards, user feedback, and executive-ready updates, and use those signals to iterate on product direction and investment priorities.
• Assist with other development efforts as needed.

You might thrive in this role if you:

• Have 8+ years of experience across product management, enterprise applications, business systems, or enterprise transformation, with a track record of driving technology-enabled business outcomes in complex environments.
• Bring strong fluency in Finance processes and enterprise technology, with experience across areas such as quote-to-cash, revenue, billing, accounting, treasury, FP&A, or adjacent finance domains.
• Understand how enterprise platforms such as Oracle Fusion, Workday, Salesforce, Databricks, Anaplan, or similar systems fit together to support core business operations and data flows.
• Have led the delivery of production AI, automation, or data products and naturally think about governance, failure modes, usability, and operational adoption.
• Can structure ambiguous business problems, evaluate competing opportunities, and turn them into pragmatic roadmaps, pilot plans, and scaled implementations.
• Are comfortable working across APIs, integrations, identity, data access patterns, and workflow orchestration, and can partner effectively with engineers, architects, and data teams.
• Have strong judgment in enterprise environments and can challenge assumptions, identify product gaps, and provide actionable feedback to improve internal tools and platforms.
• Are an exceptional communicator who can document decisions crisply, influence without authority, and present status, risks, and recommendations clearly to both executives and practitioners.
• Can lead cross-functionally without relying on formal org boundaries: you build trust, create momentum, and raise the quality bar through clarity, judgment, and follow-through.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Key responsibilities include:

• Architectural Development: Lead the definition and implementation of new systems engineering architectures specifically for powertrain systems, including engine, transmission, and electrified vehicle control systems.
• Process Standards: Contribute to global policies, procedures, and process documentation for MBSE and systems engineering within the powertrain domain.
• Technical Design Reviews: Lead Technical Design Reviews (TDRs) for complex systems and system-level modelling, and drive technical discussions to balanced conclusions.
• Technical Subject Matter Expert: Serve as the primary technical lead for resolving complex systems engineering challenges in architecting, development, and detailed design.
• MBSE Oversight: Provide oversight within the propulsion controls and calibration area for the creation and maintenance of Core MBSE artefacts, including modelling standards and Requirements/Test Procedures.

The ideal candidate will have a Bachelor's degree in Electrical, Mechanical, or a related engineering field, with a minimum of 10 years of engineering experience, including at least 5 years focused on Systems Engineering, Systems Architecture, or Model-Based Systems Engineering (MBSE).

Additional requirements include:

• Demonstrated expertise in systems thinking, Failure Mode Avoidance (FMA), and formal Systems Engineering methodologies to solve complex problems.
• Proven history of evaluating and improving engineering processes, with a demonstrated ability to challenge and replace non-value-added deliverables.
• Ability to lead and align multi-disciplinary teams and effectively communicate technical positions to all levels of management.
• Proven history of evaluating technical choices and directing teams based on technical ideals balanced with industrialisation realities.

Preferred qualifications include:

• Master's degree in Systems, Electrical, Mechanical, or a related engineering field.
• INCOSE certification (CSEP or ESEP) or OMG certifications in MBSE modelling.
• Prior automotive and powertrain-specific experience is desired but considered secondary to the mastery of systems engineering principles.
• Proficiency in UML and SysML modelling languages preferred. Experience in Model-Based Systems Engineering development utilising MagicDraw/3DX toolkit is preferred.
• Basic software/script development in Python or other development environments is preferred.

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$380K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Future of Computing Research team is an applied research team within the Consumer Devices group focused on developing new methods, models, and evaluation frameworks that support our vision for the future of computing. We work at the frontier of multimodal AI, helping turn emerging model capabilities into product experiences that are useful, delightful, and worthy of long-term trust.

Our work explores a new class of AI systems that can learn over time, adapt to individuals, and support people in the flow of daily life. This includes long-term memory, user modeling, and personalization systems that are aligned not just with immediate satisfaction, but with a person’s broader goals, values, and well-being.

We work closely across research, engineering, design, product, and safety to define what it means to build AI systems that know you over time, act at the right moment, and help in ways that are context-aware, respectful, and demonstrably beneficial.

About the Role

We are looking for a Research Engineer / Scientist to join the Future of Computing Research team to work on RLHF and post-training for personalized, multimodal AI systems.

This role will focus on building the learning and evaluation foundations that help models become more context-aware, adaptive, and useful over time. You will work on problems such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that must make high-quality behavioral decisions in realistic user settings. The work is deeply product-grounded: success is not just higher benchmark performance, but better model behavior in real-world use.

The ideal candidate is excited about pushing beyond one-turn assistant behavior toward systems that improve through feedback, learn from richer signals, and are trained against meaningful notions of user value. Internally, that maps closely to the need for careful reward design, feedback loops, and evaluation frameworks that test whether interventions are actually beneficial over longer horizons.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

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• Develop RLHF and post-training methods for multimodal models.

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• Build reward models and preference-learning pipelines for adaptive, personalized model behavior.

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• Design datasets, rubrics, and evaluation frameworks that capture user preferences, contextual appropriateness, and long-term value in realistic tasks.

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• Run experiments on policy improvement using explicit feedback, implicit signals, and model-based grading.

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• Work on long-horizon evaluation problems, where model quality depends not just on a single response but on whether behavior improves outcomes over time.

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• Collaborate closely with safety researchers to ensure that adaptation and personalization remain aligned, interpretable, and bounded by clear constraints.

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• Prototype and iterate quickly on training recipes, reward formulations, data pipelines, and evaluation suites for product-relevant behaviors.

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• Help define how OpenAI measures success for personalized AI systems including trust, appropriateness, and long-term user benefit.

You might thrive in this role if you:

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• Have a strong background in machine learning research, with experience in RLHF, reward modeling, preference optimization, or post-training for large models.

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• Have worked on one or more of: reinforcement learning, ranking, recommender systems, personalization, memory, or human-in-the-loop evaluation.

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• Care about rigorous empirical work and know how to design clean experiments, reliable evals, and decision-useful metrics.

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• Are excited by the challenge of training models against nuanced behavioral objectives.

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• Have experience building datasets or eval pipelines grounded in human preferences, rubrics, or real-world product behavior.

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• Are comfortable working across the stack, from data generation and labeling strategy to training runs, reward functions, and analysis.

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• Are interested in multimodal AI and in how models can learn from richer interaction signals over time.

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• Want to work on product-shaping research with unusually high stakes for trust, alignment, and long-term user value.

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• Enjoy close collaboration with engineers, designers, and safety researchers to turn frontier research into real systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history has a direct and adverse relationship with your current or prospective employment. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider the nature and severity of the offense, as well as the time elapsed since the offense occurred, in making our decision.

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In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.

This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.

Key Responsibilities

• Develop and maintain performance modeling tools and frameworks.

• Build models to evaluate system behavior across:
• compute, memory, and interconnect subsystems
• distributed system scaling and bottlenecks.

• Run simulations and analytical models to support architectural tradeoff analysis.

• Collaborate with performance modeling lead and system architects to answer forward-looking design questions.

• Analyze and interpret modeling outputs, translating results into actionable insights.

• Validate models against real system measurements and workload behavior.

• Contribute to improving modeling fidelity, usability, and scalability.

Qualifications

• Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).

• Familiarity with system architecture fundamentals (compute, memory, networking).

• Experience with programming and building technical tools or frameworks.

• Ability to reason about performance bottlenecks and scaling behavior.

• Strong analytical skills and comfort working with quantitative models.

• Ability to collaborate across teams and learn new system domains quickly.

Preferred Skills

• Exposure to AI/ML workloads or distributed systems.

• Experience with simulation tools, performance modeling, or systems analysis.

• Familiarity with data center infrastructure or large-scale systems.

• Experience working with performance data, benchmarking, or profiling tools.

• Interest in system architecture and hardware/software co-design.

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In this role, you'll leverage advanced analytics and predictive modeling to solve complex HR problems, identify trends, and inform strategic decisions. You'll serve as a consultant and external spokesperson on people analytics trends, objectives, and policies, providing thought leadership and staying current on emerging trends and best practices.

Key responsibilities include:

• Developing project proposals, providing project support, forming testable hypotheses, developing analytics products and solutions, and delivering data-driven insights for senior management's human capital decisions.

• Consulting management on HR analytics best practices, tools, and trends.

• Partnering with HR and business leaders to identify critical questions, prioritize initiatives, and use data to inform decisions in workforce planning, organizational design, and talent management.

• Developing dashboards and reports to effectively communicate key HR metrics, trends, and actionable insights to senior leadership through compelling data visualizations and storytelling.

• Utilizing employee listening tools to gather feedback, identify trends, and address employee experience issues.

• Participating in developing and maintaining an HR data governance framework to ensure data quality, security, and regulatory compliance.

• Contributing to the roadmap for continuous evolution of the people analytics function, incorporating new technologies, processes, and methodologies in collaboration with senior People Analytics and HR leaders.

As a Senior Specialist, People Analytics and Planning, you'll have the opportunity to make a significant impact on the organization's people strategy and contribute to the development of data-driven insights that inform business decisions.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Role

As a Staff Detection & Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organisation. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defence-in-depth strategies, and act as a force multiplier for our global security posture.

You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.

What You’ll Do

Technical Leadership & Innovation

• Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.

• Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organisation.

• Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.

• Incident Response: Serve as the technical lead for major incidents, including investigating threats in “foreign” or uncommon environments by leveraging frameworks and your professional network.

Global Mindset: While Okta maintains a 24x7 posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally.

Strategic Execution

• Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.

• Problem Solving: Navigate issues of diverse scope, analysing data against current business trends to provide innovative solutions.

• Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.

Team Advocacy & Mentorship

• Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.

• Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organisational objectives.

• Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.

Who You Are

• Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.

• Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.

• Resilient Leader: You have a “bottom-line” orientation, persisting through obstacles and setbacks to achieve results.

• Self-Aware & Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.

• Collaboratively Minded: You prioritise the development of others and establish internal and external networks of coaches and mentors.

Qualifications

• Proven experience in a high-growth SaaS or security-focused environment.

• Expertise in querying languages, detection frameworks (e.g., MITRE ATT&CK), and modern IR toolsets.

• Experience managing communications during crises or major security incidents.

• Demonstrated ability to lead project teams and manage budget/resource requirements.

• Strong background in automating response workflows and refining preventative controls.

Why Okta? Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.

#LI-HYBRID

P6513_3323862

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:

$141,000-$193,000 CAD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Location: San Francisco

Department: Consumer Products

Job Type: Full time

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity.

About the Role

As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with _both_ the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.

This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.

In this role you will:

• Train and evaluate SoTA models along axis that are important to our vision for future devices.

• Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

• Help define how software works for decades to come.

You might thrive in this role if you:

• Have 5+ years of relevant work experience.

• Have a research background in utilizing and training language models to generate UI, and developing recipes to evaluate the quality / applicability of UI generated.

• Love exposure to a bit of everything – we’re collaborators with a hugely diverse set of research.

• Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.

• Have already spent time in the weeds teaching models to speak and perceive.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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Key responsibilities include:

• Design and implement workflows for shared component libraries
• Evolve strategies for backing stores and access
• Build and maintain automation tools to accelerate library creation, maintenance, and quality control
• Create schematic symbols, footprints, and 3D models for new library components

The team uses the KiCad suite of EDA tools, though familiarity with that suite can be learned on the job.

In this role, you will work closely with electrical and mechanical engineers to trade off design requirements, place and route boards, handle DFM feedback from board vendors to get to build readiness, and create rulesets and stackup templates to accelerate future designs.

You will be expected to have a background in PCB design, be interested and willing to try new tools and technologies to accelerate your work, have an unflappable commitment to principled organization and consistent quality, and be willing to tell your designers that they're prioritizing badly.

Success in this role will be measured by your ability to build a consistent and high-quality library that is easy to maintain, electrical design engineers spending a majority of their time making schematics, and growing design-reuse across the organization.

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Our core set of engineering challenges includes: Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality Building complex, Big Data pipelines, creating and deploying ML & AI models at Web scale for improving Safety by recognizing various forms of SEO Spam, Scams, Malicious webpages with exceptional Precision and Recall despite the rarity, and constant adversarial battle against bad actors.

This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. Someone who has the skill, will, and perseverance to steer a highly complex system, with many interdependencies, towards a better design.

At this role, you would be advancing the platform and pipelines that powers the MAI Web Data’s Safety systems, in a fundamentally new, modern direction. You’d be instantiating new technology into production to address Web Data product needs of the future. You will work on the design, development, execution, and implementation of technology at massive scale. You will work with Applied Scientists to develop, evaluate, operate, and/or deploy algorithms and solutions to improve or contribute to the creation of features and models with the highest system performance, quality, data management, and accuracy.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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As an early member of the Value Engineering team, you will help define how OpenAI measures and communicates the real-world impact of AI across its customers. You will partner closely with Sales, AI Success Engineers, AI Deployment Engineering, and Product teams to identify high-impact AI use cases and build financial and operational business cases. Your work will directly influence executive alignment, investment decisions, renewals, and long-term expansion.

You will play a key role in helping build and shape the value engineering function from the ground up , developing repeatable frameworks, ROI models, value narratives, dashboards, and collateral that help internal teams and customers understand and measure the impact of AI adoption.

Success in this role is measured by how clearly customers and internal teams can quantify the value of AI, how effectively business cases support adoption and expansion, and how scalable value frameworks become across the GTM organization.

This role is based in San Francisco or New York City and we offer relocation benefits to new employees.

In this role, you will:

• Lead business value assessments for our largest deals, working closely with customers to identify key business drivers and quantify the value of OpenAI's products to support investment decisions

• Build and maintain standardized ROI, TCO, and value modeling tools for internal and customer use.

• Lead structured value discovery to identify high-impact use cases and define measurable outcomes.

• Publish executive-ready business cases that quantify results and strengthen relationships with C-level stakeholders.

• Codify value frameworks, methodologies, and reusable assets that scale value-based selling across the global GTM organization.

• Establish baselines, KPIs, and dashboards to track and communicate value delivery.

• Partner closely with Account Directors and post-sale teams to influence deal strategy, renewals, and expansion opportunities.

• Contribute to thought leadership on AI-driven business transformation by identifying emerging patterns in how organizations realize value from AI.

You will thrive in this role if you:

• Bring 6–10 years of experience in value engineering, management consulting, or adjacent roles.

• Have strong financial and analytical skills, with experience quantifying and presenting value to executive stakeholders.

• Demonstrate exceptional executive presence with strong written, verbal, and presentation skills.

• Have experience working on large-scale AI, cloud, or digital transformation initiatives.

• Communicate with clarity and confidence across technical and business audiences.

• Can translate AI capabilities into compelling financial, productivity, and workforce transformation narratives.

• Enjoy managing multiple complex customers and driving toward concrete, measurable outcomes.

• Demonstrate humility, curiosity, and a customer-first mindset.

• Operate with high ownership, urgency, and comfort navigating ambiguity.

• Are a creative builder who thrives in 0→1 environments and enjoys rolling up your sleeves to balance strategic thinking with hands-on execution.

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You will coordinate activities across onsite cross-functional Sales, Business Development, Engineering, Finance, Quality, Procurement, and Manufacturing teams to ensure disciplined execution of large-scale projects , including schedule, cost, quality, and risk management.

Responsibilities:

Customer Engagement & Opportunity Development

Connect with BESS customers to build strong relationships, understand needs, and identify high-value project opportunities.

Work in partnership with the BESS Sales leads to build the Ford Energy pipeline through face-to-face customer communications, ensuring structured engagement throughout the program bidding process with consistent follow-through.

Enhance coordination and service across multiple customer contact windows, improving responsiveness and customer experience across the full lead-to-cash cycle, product delivery, and after-sales support.

Program Setup and Execution

Establish program teams consisting of Sales, Program Management, and Engineering to initiate customer program development and execution, and lead delivery with ownership of schedule, quality, cost, and risk management.

Partner with Sales team to define and align program plans to customer account strategy and expectations.

Help grow the Program Management function over time with a small team of program managers to scale Ford Energy to more customers and regions.

Cross-Functional Coordination

Coordinate activities across Sales, Engineering and other key stakeholders to confirm customer qualifications, engagement approach, and delivery of the BESS product according to contract terms.

Coordinate onsite colleagues from other departments and external parties (e.g., Engineering, Sales and Service) to ensure effective product commissioning and after-sales services execution.

Proactively drive issue resolution across multiple departments to maintain project progress and customer satisfaction.

Qualifications

Experience

8+ years of program/project management experience, ideally in customer-facing delivery environments.

5+ years of people leadership/team management experience.

Familiarity with BESS project business models and project development; preference for candidates with 2+ years of experience in one or more of the following:

Battery Energy storage systems (ESS)

Large Scale Electric Power / Utility projects

Li-ion battery-related projects

Education

Bachelor’s degree or equivalent required

Operations Management, Business Management, Program Management preferred

Core Skills

Strong communication skills with clear logic, able to manage complex stakeholder environments and customer-facing discussions.

Strong data analysis and reporting skills; able to produce structured updates and executive-ready materials.

Proven ability to coordinate and collaborate cross-functionally, drive alignment, and resolve issues across departments.

Mindset

Proactive, committed, and driven to deliver high standards with strong ownership and follow-through.

Innovative problem solving and ability to work effectively in a start-up environment

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You will operate across architecture, circuits, memory, RTL, physical implementation, and integration technologies to turn ambitious product goals into manufacturable silicon. This role is not limited to analysis or pathfinding,you will be expected to develop solutions, prototype ideas, drive execution, and close critical gaps.

The ideal candidate is a hands-on generalist with strong engineering judgment, deep circuit intuition, broad semiconductor knowledge, and a habit of using AI tools to move faster and make better decisions.

Key responsibilities include: Partner with architecture and system teams to translate product goals into executable silicon construction strategies. Drive hands-on optimization of power, performance, area, cost, and reliability across the silicon stack. Develop and implement solutions spanning circuits, memory, RTL, physical design, and integration. Use and build AI-driven tools, flows, and methodologies to accelerate silicon implementation. Evaluate new technologies and convert them into reliable product constructions optimized for performance, performance/TCO, and performance/W.

Requirements include: BS with 12+ years, MS with 10+ years, or PhD with 6+ years of relevant industry experience in chip design or implementation. Strong hands-on expertise in circuits and implementation-driven PPA optimization. Deep knowledge of semiconductor technologies including memory, advanced nodes, packaging, and 3D integration. Hands-on experience with RTL design and physical implementation through tapeout. Proven ability to work across disciplines and solve complex technical problems end-to-end. Strong use of AI tools for engineering productivity, analysis, coding, or design optimization. Excellent technical communication and collaboration skills.

Preferred qualifications include: Strong first-principles understanding of AI chip architectures and training/inference workloads. Experience improving silicon products through innovations in performance, power, cost, yield, or reliability. Experience with HBM, SRAM, memory hierarchy design, or memory-centric optimization. Experience building internal tools, models, or automation used by engineering teams. Research lab experience and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's API Multicloud team sits within B2B Applications and is responsible for extending OpenAI's API platform into strategic cloud environments, starting with AWS. The team's mission is to distribute OpenAI's API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.

About the Role

We're hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration.

You'll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn't working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You'll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time.

In this role, you will

• Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements.

• Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows.

• Investigate whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance.

• Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments.

• Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows.

• Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production.

• Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases.

• Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces.

• Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters.

Your background might look something like:

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.

• 7+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles.

• Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow.

• Familiarity with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques.

• Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages.

• Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs.

• Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners.

• Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done.

• Bonus: experience with AWS, Kubernetes, agents, tool use, runtime environments, AI developer platforms, or speech models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Initiative, and the New York City Fair Chance Act.

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You will lead core design work for ADAS components per the Global Product Development System process on various vehicle programs. Your responsibilities will include providing cost-efficient and quality parts on time, maintaining ownership and governance of component-specific robustness quality documentation (DFMEA, DVP&R, SCCAF, etc.).

You will also lead the Sourcing Process, including investment, piece price, and tooling cost reviews, and prepare initial and final sourcing documents including ESOW, Engineering Specifications, System and Component Requirements. Additionally, you will manage and execute software technical design reviews and releases for prototype, production, and service.

You will lead and perform Failure Mode Avoidance and Functional Safety analyses to examine potential failure modes and design suitable prevention strategies. You will conduct Technical Design Reviews, interfacing with Ford application activities and supplier engineering (software, hardware, mechanical, etc.).

You will lead in the creation and signoff of E/E information like WCCA, Device Transmittals, Specifications, and Electrical Schematics. You will support Vehicle Operations activities to determine appropriate assembly and testing processes.

You will interface with other engineers, Vehicle Engineering, suppliers, and management to ensure compliance with required specifications and efficient critical decision-making. You will support program-related work such as Bill of Materials (BOM), integration and packaging, parts release, requirements compliance, Engineering Signoff, 2-pagers, AIMs, FMA, Subsystem/Supplier work plans, DVP&R, and Engineering Sign-off.

You will analyse data, identify root causes of issues, and develop corrective actions to optimize processes and achieve desired outcomes. You will drive troubleshooting and development of solutions for Hardware, Software, and packaging issues found during validation and launch using problem-solving best practices (8D, Is/Is not, 3L5W, fishbones, etc.).

You will support prototype builds and vehicle launch, which may require travel. You will identify validation, durability, and functional testing required for a given program’s change scope. You will support ongoing warranty reduction and improvements.

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You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

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Estimated annual salary $239K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

401(k) retirement plan with employer match

Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

Mental health and wellness support

Employer-paid basic life and disability coverage

Annual learning and development stipend to fuel your professional growth

Daily meals in our offices, and meal delivery credits as eligible

Relocation support for eligible employees

Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools.

This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.

About the Role OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product.

You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning.

Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.

What You'll Work On

• Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.

• Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.

• Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.

• Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.

What Success Looks Like in the First 12 Months

• Help launch new AI learning experiences that reach a broad set of learners.

• Refine infrastructure that allows educators to deliver adaptive learning and assessments.

• Validate the learning analytics pipeline to provide deeper insights into AI driven learning.

• Empower education teams to use AI tools to build and iterate at scale.

Core Qualifications

• 5–10+ years of experience in software, data, or learning engineering.

• Experience building data systems or infrastructure that support education & training.

• Experience working with learning data, analytics pipelines, or educational metrics.

• Comfort translating learning or pedagogical goals into technical systems.

Strong Additional Qualifications

• Background in learning science, instructional design, or education research.

• Experience building LMS platforms or training infrastructure.

• Experience with learning analytics, learner data models, or educational measurement.

• Experience building systems that incorporate AI models into educational workflows.

• Experience with credentialing, certification systems, or competency frameworks.

• Experience building platforms used by non-technical educators or curriculum teams.

Relevant Backgrounds

• Education technology engineering.

• Learning analytics or educational data systems.

• Instructional technology platforms.

• Training platforms for technical products.

• AI tutoring systems or adaptive learning platforms.

Why This Role Matters AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

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Reporting directly to the Material Cost Finance Manager, this position is based at our International Markets Group Product Development Centre, Campbellfield. This role operates under a hybrid work arrangement, requiring four days on-site.

Responsibilities:

• Manage the Bill of Material (BoM) for Electrical & Power Supply commodities
• Provide financial support to Engineers and Programs Office in reviewing changes for approval and reporting risks and opportunities
• Complete review and analysis of proposed changes and supplier cost updates, prepare approval papers and ensure robust tracking of approved cost and investment changes
• Lead the setting up and monitoring of the financial targets and program budgets for Material Cost and Tooling
• Provide financial analysis to support cross-functional analysis including Purchasing, Program Finance and Engineering
• Support idea generation and tracking for cost/investment reduction to help achieve financial targets
• Develop and analyze business cases for design and sourcing changes, coordinating with operating partners to ensure successful review and closure and presenting recommendations to senior management and during program special attention sessions
• Lead financial reporting to Senior Management regarding financial status and variance explanations

Complete Bill of Material (BOM) reconciliations to confirm cost status and ensure robust financial reporting

Lead workstreams and processes to deliver Control Model Vehicle and Average Market/Region Material Cost reporting, including development and maintenance of feature cost walks and average Car Modelling.

Support the review of Market Equation inputs including scrubbing the Market Equations to ensure the costing and pricing assumptions are aligned.

Involvement in other related cost analysis work streams:

• Support business decisions on vehicle content through TARR and profitability analysis
• Ad hoc financial and business analysis to support program feature and content decisions
• Material Planning and Logistics (freight, duty, taxes)
• Sequencing cost analysis/tracking
• Bailment analysis/tracking
• Program Investment consolidation

Become Material Cost Finance SME on benchmarking tools with view of using data to lead and influence decision making.

Partner with VHM operation leads to manage lifecycle commodity costs, taking ownership of developing and maintaining comprehensive Lifecycle Cost Analysis for key commodities.

Lead material cost reporting for cost reduction initiatives for Chassis/Underbody and Electrical/Digital Tech commodities.

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Location: San Francisco

Department: Applied AI

Job Type: Full time

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.

About the Role

As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.

In this role, you will:

• Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
• Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
• Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
• Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models
• Experience with content understanding or abuse prevention with LLMs is a plus
• Proficiency in frameworks like PyTorch or Tensorflow
• Strong foundation in data structures, algorithms, and software engineering principles.
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross-functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done

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Location: San Francisco

Department: Consumer Products

Job Type: Full time

Workplace Type: Hybrid

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity.

About the Role

As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.

This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.

In this role, you will:

• Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models.

• Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth.

• Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities.

• Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads.

• Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems.

• Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

You might thrive in this role if you:

• Have experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators.

• Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements.

• Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines.

• Have experience building or leading teams working on low-level performance-critical software such as CUDA kernels, compilers, or ML runtimes.

• Have already spent time in the weeds teaching models to speak and perceive.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Salary

Compensation Range: $445K

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This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

• Lead our efforts in understanding and measuring the real-world safety impacts of OpenAI’s current and upcoming products
• Uncovering new ways to improve our approaches to measuring and mitigating harm and abuse
• Develop and implement statistical methods necessary to operationalize safety-related metrics
• Provide direction, guidance, and coordination of projects in the space
• Establish a data-driven culture within Safety Systems by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics
• Create and disseminate dashboards, reports, and tools that enable the team and company to answer safety-related questions independently
• Develop safety data flywheel and provide safety research with production insights/data for training and evaluation.

You might thrive in this role if you have:

• 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as a founding data scientist or team lead at a hyper-growth product company or research org
• Proven leadership skills, including leading multiple data scientists and cross-functional teams
• Expertise in defining and implementing metrics, with a track record of operationalizing new feature and product-level metrics from scratch
• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike
• Strategic insights that extend beyond traditional statistical significance testing.

You could be an especially great fit if you have:

• Experience in trust and safety, integrity, anti-abuse, or related fields
• Demonstrated prior experience in NLP, large language models, or generative AI
• Strong statistical background, including knowledge of sampling, regression, causal analysis, and more

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This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

Key responsibilities include:

• Owning post-sale technical success, adoption, and value realization across a large portfolio of customers
• Acting as a trusted advisor on deployment health, adoption strategy, and value realization for ChatGPT, API, Codex, and related capabilities
• Using logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and guide practical recommendations on latency, reliability, model choice, prompting, cost efficiency, and rollout readiness
• Leading targeted interventions for moments that matter - launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities
• Translating customer goals into prioritized adoption plans, success milestones, and measurable KPIs that can be executed through a mix of direct engagement, scaled programs, and cross-functional support

To succeed in this role, you will need:

• 6+ years of experience in technical customer-facing roles such as technical account management, technical success, technical consulting, solutions architecture, technical delivery leadership, or enterprise SaaS / AI adoption
• Strong working knowledge of OpenAI product capabilities, APIs, connectors, and common deployment patterns, and able to explain model behavior, limitations, and tradeoffs in practical business terms
• Technically fluent enough to engage credibly with customer technical teams and interpret logs, telemetry, usage data, and system behavior, without needing to be the primary implementation owner
• Ability to reason through production tradeoffs such as latency, cost, quality, prompting, routing, rate limits, retrieval, caching, and reliability, and turn those into practical recommendations
• Strong portfolio prioritization instincts and judgment about where direct engagement will create the most customer and business impact
• Excellent project and program management instincts, with the ability to drive multiple workstreams with clarity and structure
• Strong communicator who can move fluidly between executive conversations about business impact and technical conversations about optimization, risks, and constraints
• Operate with high ownership and can manage ambiguity, fast decision making, and dynamic customer needs
• Have a strong record of driving measurable adoption, deployment health, and customer value for large enterprise customers with complex stakeholder environments
• Have experience building repeatable playbooks, processes, or operating mechanisms that scale impact across many customers, not just through individual heroics
• Know when to solve independently and when to pull in Solutions Architecture, Engineering, Product, or other specialist teams

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Responsibilities:

• Senior Finance Analyst on Ranger & Everest Programs supporting the delivery of Future Product Actions including Mid Cycle Actions and development of a New Multi-energy Platform (xEV).
• Lead Financial Reporting for Product Development Programs;
• Financial support to Planning, Marketing and Engineering Teams to review Product Content changes. This involves collecting and reviewing both physical and financial inputs to support the development of viable Business Cases.
• Manage the Business Group Average Vehicle Material Cost reporting for milestone reporting and status updates, including issue-to-issue analysis and variance reporting.
• Lead the consolidation and reporting of Contribution Margin analysis from a specific vehicle to an average vehicle and Last Job to First Job margin analysis, including the processing of Marketing, Material Cost and Freight, Duty and Tax Cost information.
• Support Regional Finance, Marketing and Program Management skill teams with Market Equation analysis of Margin and Profitability of features, series and markets.
• Consolidate business units and vehicle lines financials to support the preparation of Program Milestone Papers for Leadership Reviews and Approvals
• Report financial status and variance explanations versus Targets and Prior Approvals.
• Conduct benchmark analysis using public financial statements and disclosures from global OEMs to inform efficient cost targets and financial assumptions for future vehicle programs.
• Apply AI-enabled tools to streamline day-to-day financial analysis, automate repetitive tasks, and improve the efficiency, accuracy, and timeliness of financial deliverables.
• Support cost reduction idea generation and tracking to help achieve financial targets.
• Support Business Plan and Budget processes with cost input and reconciliation
• Involvement in other related cost and investment analysis work streams:
• Co-ordinate the calculation and analysis of non-Bill of Material cost data (i.e., sequencing, bulk materials, amortised ED&T) and subsequent analysis for average car reporting
• Support Manufacturing and Total Program Investment consolidation and reporting
• Support Manufacturing Labour & Overhead reporting

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The specific areas / sub-systems of responsibility would be within the base engine / long block and would be defined at the point of employment and joining the base engine team based on the successful candidate’s skill set and experience coupled with the skill set of the existing team. Examples of the ‘base engine’ / long block sub-systems are; Cylinder Block, heads, PCV, EGR, Sealing, Covers, Valvetrain, VCT’s, Cam Drive, Piston and Rod, Rotating system, Oil pump & Lubrication, Engine bearings Etc.

The D&R Engineer is responsible for managing product release CAD and BOM structures, including assembly positioning and mass attribute analysis. This role also includes facilitating supplier data integration and developing CAD studies to support and drive design improvements.

The D&R Engineer is expected to understand and effectively utilize product check-in/check-out processes, version control, data release, and change management within Ford’s PLM ecosystem.

The D&R Engineer will perform feasibility analyses using CAD tools, including draft angle analysis, undercut detection, minimum bend radius validation for sheet metal, and clearance checks to support manufacturing and machining requirements.

Responsibilities:

• Lead/support High Time in Service Quality Projects using Design for Six Sigma / 8D processes on aggressive timelines to support IPTSE’s warranty spend and failure rate reduction targets.
• Responsibilities include evaluation of high warranty spend/failure rate subsystems and engine/vehicle applications with a focus on issues that contribute to > 12 MIS warranty and/or are design/physics related versus supplier quality/manufacturing defect related.
• Projects will be expected to rapidly work through the Define, Characterize, Optimize and Verify phases of the DFSS process including root cause identification and verification, implementation of corrective actions, and prevent recurrence.
• Ability to design, execute or coordinate analytical and physical testing from component bench level to full powertrain/vehicle testing to identify root cause, replicate quality issues and validate fixes.
• Identify and document lessons learned for knowledge preservation.

• Lead new/forward model product development of the base engine sub system for new engine platforms.
• Design, develop, and release components.
• Lead/Support resolution of major design, manufacturing, program, and launch issues as they arise.
• Create, complete, and approve supplier and Ford engine DVPs and oversee testing in support of robust validation.
• Lead Sub System CPMT activities.
• Support all program meetings (EPMT, Design Review, DPMT, change control, etc.).
• Lead drawing release and changes.
• Interface with Calibration, mating components, Purchasing, suppliers, and mfg/assembly plants.
• Prototype Build coordination: load forward model part numbers into system and ensure fit and function.
• Work directly with suppliers, Supplier Technical Assistance (STA), and launch teams to support programs and resolve quality issues, included travel both domestic and international when required.
• WERS (Worldwide engineering release system) coordination; alerts, concerns and notice processing.
• Develop and maintain CPMT documents, including appropriate quality documents (ESOW, DFMEA, PTDV, e3P, SCCAF’s, Global Integrator, PPAP & PSW’s, 543 Chart etc.) for program specific sub-system responsibilities.

Qualifications:

• Bachelor’s of Science Degree in ME/EE/Material Science/Aerospace Engineering.
• 2+ years of experience leading projects.
• 2+ years of experience with internal combustion engines or after-treatment systems in one or more of the following areas: Design, Test, Controls, Calibration.
• Even better, you may have...
• 6-Sigma green belt, black belt and Design for Six Sigma experience a plus.
• Familiarity/experience with Strategic Problem Solving.
• Familiarity/experience with Failure Mode Avoidance and Robustness and Reliability processes
• Familiarity with quality tools.
• Knowledge of key engine/powertrain subsystems including base engine, cooling, airpath, fuel, after-treatment, etc.
• Strong project management, problem solving and organization skills
• Excellent teamwork and communication skills
• Self-starter with the ability to manage multiple work streams simultaneously
• Enjoys taking on new challenges, embraces learning and discovery.

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Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

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In this role, you'll:

• Own day-to-day management of a portfolio of key strategic partners, including Amazon Web Services (AWS) and other high-priority AI ecosystem relationships.
• Serve as a central point of coordination for joint planning, governance, escalation management, and cross-functional execution.
• Build and run partner operating cadences across leadership reviews, working teams, business development, technical alignment, and delivery stakeholders.
• Help drive commercial outcomes by supporting co-sell motions, opportunity coordination, and execution against shared objectives.
• Track partnership performance, milestones, dependencies, and risks across multiple workstreams and internal teams.
• Coordinate internal resources across Go-to-Market, partnerships, product, legal, security, communications, policy, finance, and operations to support partner success.
• Support implementation and operationalization of partnership agreements, statements of work, enablement plans, and governance structures.
• Identify and resolve blockers across joint initiatives, including issues related to prioritization, delivery readiness, technical engagement, or executive alignment.
• Help define the model for how OpenAI engages with partners such as cloud providers, strategic platforms, and other major partners over time.
• Develop clear internal reporting on partner health, strategic priorities, and progress against business goals.
• Drive consistency in how OpenAI manages partner communications, commitments, and cross-functional follow-through.
• Contribute to long-term expansion strategies for strategic relationships, including identifying new areas for product, Go-to-Market, or delivery collaboration.

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We’re looking for an Associate Policy Support Specialist to join our growing JAPAC Policy Enforcement Operations team. In this role, you’ll support day-to-day policy enforcement by reviewing content, handling escalations, monitoring risk trends, and turning data into actionable insights. Your work will help ensure Spotify remains a safe, positive experience for everyone.

Responsibilities

• Review reported content and conduct timely, objective investigations to ensure it aligns with Spotify’s policies

• Triage and manage high-priority or sensitive escalations, collaborating with internal stakeholders to drive resolution

• Support vendor partners and operations teams by providing clear enforcement guidance and contributing to training efforts

• Partner with policy and cross-functional teams to improve workflows, increase efficiency, and address root causes of complex cases

• Analyze operational data and trends to identify risks and recommend improvements to enforcement processes

• Contribute ideas for integrating AI and automation to enhance moderation quality and scalability

• Share updates and insights with stakeholders, helping align teams and advocate for Trust & Safety priorities

Requirements

• You have a degree or equivalent practical experience in a relevant field

• You have a minimum of 1+ years of experience in Trust & Safety, content moderation, or a related operations environment, including reviewing sensitive or potentially disturbing content

• You know how to manage queues and handle cases using case management or ticketing systems

• You have experience handling urgent, high-priority cases and driving them through to resolution

• You use data and metrics to inform decisions and identify opportunities for improvement

• You communicate clearly and collaborate effectively with stakeholders across teams, regions, and time zones

• You are organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment

• You are adaptable and comfortable working in an evolving operational landscape

• You have proficiency in English; additional Southeast Asian language skills are a plus

• You care about creating a safe and inclusive experience for users and creators, with an understanding of online safety and freedom of expression

Work Details

• This role is based in Singapore

• We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.

• This role follows an early shift schedule 7:00 AM – 4:00 PM SGT

• Occasional weekend or holiday on-call support may be required

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This is a role emphasizing true end-to-end responsibility: setting the architectural vision, shaping the platform for AI-forward discovery experiences, and steering the evolution of product experiences that sit at the heart of how users engage with the intersection of knowledge, content, and personalization on surfaces on which Copilot shows up.

You will design and drive the systems that power the Copilot Discover feed at scale. You'll work on foundational platforms that ingest, enrich, rank, personalize, and serve content across web, mobile, and partner surfaces and lead architectural strategy for how we unify signals, models, and data into coherent, trustworthy experiences; modernize our ranking and personalization stack; and build the AI-forward infrastructure that makes Copilot Discover feel intelligent, anticipatory, and personalized for every user.

The key is an end-to-end focus on outcomes, across a broad technical space. You'll be expected to influence platform direction across multiple teams and adjacent organizations. You will ensure that the MSN and Copilot Discover systems are robust, scalable, privacy-respecting, and engineered for long-term adaptation.

High product sense is a success factor – how you drive product and architectural convergence across today's fragmented surfaces, reduce complexity, and shape a consistent platform model is key to the success of the product and this role.

Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys.

If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Own the technical direction for Copilot Discover platforms, setting end-to-end architectural strategy.

Partner with product, design, data science, and engineering leaders to translate business and user needs into executable architectural plans, well-documented designs, and multi-year roadmaps.

Set and govern architectural decisions across multiple services and teams, ensuring systems are scalable, secure, reliable, cost-efficient, and grounded in data, telemetry and operational excellence.

Raise the technical bar across the organization by establishing flasifible principles, reviewing critical designs, and helping to develop technical leaders within the team.

Establish and evolve quality and reliability standards, including test strategies, CI/CD practices, monitoring, alerting, and live-site health.

Shape the adoption of AI/ML techniques for content understanding, personalization, summarization, and safety, in close collaboration with MAI and partner teams.

Serve as a cross-org technical leader, aligning MSN architecture with Bing, Copilot, Ads, Privacy, Trust, and other Microsoft platforms.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience in ML/AI systems, especially in content understanding, ranking, or personalization.

Proven experience designing and operating large-scale distributed systems, including data pipelines, microservices, APIs, and storage systems.

Experience with content platforms, personalization systems, or consumer-facing services at scale.

Experience with technologies such as Apache Spark, Kafka, columnar storage, data modeling, and schema evolution.

Demonstrated success as a technical lead or architect, influencing across teams without direct authority.

Solid understanding of system architecture, performance tuning, telemetry design, and operational excellence.

Experience in ML/AI systems, especially in content understanding, ranking, or personalization.

Excellent analytical and communication skills, with the ability to clearly articulate complex technical concepts.

Solid cross-organizational collaboration skills and the ability to influence senior stakeholders.

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In this role, you'll have the opportunity to work on cutting-edge manufacturing processes and bring to life vehicles that embody unparalleled performance and unwavering dependability. You'll be part of a team that's shaping the future of vehicle manufacturing in Canada.

To succeed in this position, you'll need a Bachelor's degree in Mechanical/Electrical Engineering or a related field of study, with 3+ years of 3D CAD review experience and 2+ years of demonstrated understanding of Process Failure Mode and Effects Analysis (PFMEA) and failure mode avoidance principles. You'll also need to be able to travel within North American countries as required.

If you're a motivated and results-driven individual who thrives in a fast-paced environment, we encourage you to apply for this exciting opportunity to join our team and contribute to the success of Ford's Oakville Assembly Complex.

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This is a high-impact role where you'll operate as a strategic talent partner not just executing searches, but shaping how we attract, assess, and hire exceptional GTM talent globally. You'll own searches end-to-end, working closely with senior stakeholders to define hiring strategies, navigate complex markets, and deliver outstanding outcomes.

Responsibilities:

• Own end-to-end hiring for GTM roles, from scoping and calibration through to offer and close.

• Partner closely with senior business leaders to deeply understand team needs, define hiring strategies, and translate business priorities into actionable talent plans.

• Build and execute proactive, data-informed sourcing strategies to attract high-calibre and diverse talent across competitive markets.

• Act as a trusted advisor to hiring managers, driving alignment, challenging assumptions, and maintaining a consistently high hiring bar.

• Deliver an exceptional candidate experience, ensuring every interaction reflects OpenAI's values and mission.

• Navigate complex, global hiring environments by partnering with People, Legal, and Compensation to ensure consistency, fairness, and compliance.

• Continuously improve recruiting processes, identifying bottlenecks and implementing scalable solutions to increase quality and velocity.

• Bring market intelligence and insights to stakeholders, influencing hiring decisions and shaping talent strategy.

Requirements:

• 7+ years of full-cycle recruiting experience, ideally in-house at high-growth or high-bar environments.

• Proven track record of hiring for GTM functions (e.g. Sales, Technical Success, RevOps, Partnerships, User Ops).

• Strong talent judgment, you can assess both experience and potential, and consistently raise the bar.

• Comfortable operating as a strategic partner, influencing senior stakeholders and navigating ambiguity.

• Highly execution-oriented, with the ability to run multiple complex searches simultaneously without sacrificing quality.

• Skilled in building pipelines from scratch, especially in competitive or emerging talent markets.

• Excellent communication and stakeholder management skills, with experience working across regions and cultures.

Data-informed and structured in your approach, using insights to guide decisions and improve outcomes.

Experience with modern recruiting tools (e.g. Ashby, LinkedIn Recruiter) and a mindset for leveraging new technologies.

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This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.

In this role, you will:

• Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
• Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
• Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.
• Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
• Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
• Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
• Create technical presentations, demos, and other forms of community engagement with top developers and startups around the region.

You’ll thrive in this role if you:

• Have strong software engineering & AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.
• Have familiarity with, or interest in, model training pipelines and reinforcement learning.
• Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
• Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
• Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.
• Communicate clearly across technical and non-technical audiences.
• Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes
• Enjoy having some days where you engage in community events and present to large audiences, and other days where you go deep on specific customer problems.
• Speak multiple languages: Strong proficiency in English is required. Additional proficiency in Mandarin, Korean, and/or Japanese is a nice to have.

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This is a highly strategic leadership role with broad cross-functional scope and significant visibility. You will partner with senior leaders across Finance, Legal, Security, People, GTM, Research, Engineering, Real Estate & Workplace, and other functions to define category strategies, guide complex commercial decisions, and build scalable ways of working that improve speed, clarity, and value.

This role requires experience building and scaling sourcing in fast-moving environments , from establishing foundational capabilities and team structure to leading complex, high-spend, high-volume portfolios.

You will lead and be accountable for a growing team responsible for managing complex, high-stakes services engagements end-to-end, while evolving the sourcing model, supplier governance, and commercial approach needed to support OpenAI’s growth. This role reports into the Vice President of Procurement.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Lead sourcing strategy across a broad services portfolio that supports teams across OpenAI.

• Partner across every business unit to shape sourcing strategies for professional services, ensuring teams can access the capabilities they need with the right balance of speed, value, and governance.

• Serve as a trusted advisor to senior and executive leadership on services strategy, supplier ecosystems, commercial tradeoffs, and risk.

• Define category strategies, supplier segmentation approaches, negotiation playbooks, and commercial frameworks that improve speed, consistency, and leverage.

• Engage early on high-impact services decisions to shape supplier selection, deal structures, and commercial outcomes in the areas that matter most to OpenAI’s speed, resilience, and stewardship.

• Guide high-stakes sourcing decisions across a diverse set of services categories, including areas such as Real Estate and Workplace services.

• Build supplier strategies that drive value beyond cost, including speed, service quality, resilience, flexibility, and access to critical capabilities.

• Leverage market insight and supplier intelligence to inform strategy, strengthen negotiations, and improve business outcomes.

• Independently prioritize and lead multiple highly complex workstreams across a fast-evolving services landscape.

• Build scalable sourcing models, governance mechanisms, and automation-enabled ways of working that improve decision quality and increase leverage across the team.

• Establish supplier KPIs, scorecards, and business review mechanisms across critical service providers.

• Build visibility into pipeline, cycle times, supplier performance, commercial outcomes, and category risks so leaders can make faster, better-informed decisions and drive stronger execution across the portfolio.

• Be accountable for team performance, operating outcomes, talent development, and management excellence across a high-performing team of experienced sourcing professionals.

• Set direction, establish priorities, and strengthen the capabilities, leadership, and organizational capacity needed to scale services sourcing over time.

You might thrive in this role if you have:

• 12+ years of experience in strategic sourcing, procurement, vendor management, or commercial leadership, with significant depth across services categories.

• Proven success leading high-stakes sourcing initiatives with enterprise-wide visibility across business units or critical categories.

• A track record of defining long-term supplier strategies and partnerships that drive value beyond cost , through innovation, speed, resilience, and capability growth.

• Strong experience guiding complex commercial decisions across a wide range of professional and operational services.

• Excellent executive presence and stakeholder management skills, with the ability to influence senior leaders, align cross-functional partners, and navigate complex tradeoffs with sound judgment.

• Experience designing scalable sourcing models, frameworks, and tools that reduce complexity and improve outcomes.

• Strong judgment in ambiguity and the ability to independently define, prioritize, and lead multiple highly complex workstreams.

• Demonstrated people leadership, including leading experienced teams, developing talent, and balancing near-term execution with long-term capability

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Key responsibilities include:

• Owning financial data quality end-to-end (consistency, freshness, accuracy) across billing, revenue, and related financial data flows.
• Driving the strategy and execution to bring systems and data capabilities in-house, reducing dependence on external vendors while maintaining operational rigor.
• Partnering with stakeholders across Finance and GTM to define data needs, deliver outputs in expected formats, and ensure data reliability as systems evolve.

You might thrive in this role if you have managed teams that include software engineers who build/modify core systems as well as data-focused engineers,especially in domains where correctness matters.

Additional requirements include:

• Strong SQL and data concepts, and the ability to reason about data modeling, validation, lineage, and reliability.
• Experience with system migrations, reducing vendor dependency, or integrating multiple providers/sources into a consistent set of metrics.
• Effective communication with Finance and GTM stakeholders, translating needs into technical plans and delivering outputs (ie. dashboards, curated tables, exports, APIs, etc.).

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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In this role, you will lead product direction across three engineering teams responsible for the pipelines, data models, integrations, and quality controls that connect customer, vehicle, and channel data for segmentation, activation, personalization, and AI-driven decisioning.

This role sits at the intersection of marketing, data, and platform engineering. In close partnership with Ford's Global Digital Insights & Analytics team, which owns Master Data Management, you will ensure mastered and source data is transformed into trusted, activation-ready data services for Salesforce and the broader marketing technology ecosystem.

Success in this role means building a scalable, governed, and resilient CRM data foundation that enables marketers to engage customers more intelligently while protecting customer trust and meeting enterprise standards for quality, privacy, and compliance.

Responsibilities:

• Define and execute a multi-year roadmap for the Salesforce CRM data ecosystem aligned to enterprise priorities.
• Gather and synthesize requirements from technical and business stakeholders across North America and Europe, ensuring the data requirements support regional nuances while maintaining a unified global core.
• Drive the strategy for how Salesforce consumes and acts upon data across the enterprise, ensuring seamless connectivity with upstream systems (MDM, GCP) to power an uninterrupted cycle of data through the Salesforce ecosystem, external MarTech systems and back to internal systems.
• Understand, adhere to and embed consumer data privacy laws in all that you deliver to protect our customers and Ford.
• Championing & Storytelling: Beyond feature delivery, effectively communicate our data ecosystem and capabilities across the enterprise to inspire, unlock and power new and more meaningful connections to our customers (e.g., new communication channels, personalized journeys and web experiences).
• Data Governance: Lead data governance strategy for Ford Retail CRM data across key data pipeline teams, including data sourcing, access, accuracy and compliance.

• Channel, Capability & Integration Enablement:

• Partner closely with Marketing teams to translate campaign goals and personalization strategies into data requirements.
• Power the connection to a new AI decisioning engine, positioning it as the 'brain' of CRM fueled by Ford Retail data.
• Understand the data pipeline from collection to usage, including unification, harmonization and enhancements.

• Engineering Enablement:

• Own the backlog for developer productivity, including coordination of upstream dependencies, stakeholder requirements and testing.
• Drive processes that facilitate continuous optimization and enhancements of the data model and ecosystem to meet the ever-changing needs of the business.
• Ensure data availability through proactive monitoring and alerting, ensuring timely communication of issues to downstream users.

• Stakeholder & Team Leadership:

• Act as the connective tissue between business product, engineering, and architecture.
• Translate ambiguous technical problems into well-defined epics; lead agile planning and ceremonies with delivery teams.
• Provide leadership and mentorship to other PMs and TPMs, raising the bar on data product thinking and discovery.

• Governance & Compliance:

• Own the prioritization of data requests, ensuring transparent tradeoffs between business product managers and enterprise architects.

Qualifications:

• Bachelor's Degree or equivalent combination of relevant education and experience.
• 7+ years of Product Management experience that includes:
• Marketing Fluency: Strong understanding of modern marketing needs (personalization, journey orchestration, measurement) with the ability to translate those needs into CRM data requirements.
• Analytical Storytelling: Proven ability to synthesize KPIs, platform enablement reasons, and business outcomes into clear narratives tailored to technical, marketing, and executive audiences.
• Agile Expertise: Strong fundamentals in Agile delivery and experience with tooling such as Jira.
• 4+ years of Product Management experience specifically focused on data and/or the Salesforce/CRM ecosystem that includes:
• Technical Depth: Strong technical fluency in areas such as data pipelines, APIs, cloud platforms, batch and/or event-driven data flows, data modeling, and enterprise integrations.
• Product Mindset: Demonstrated ability to manage data as a product, balancing availability, accuracy and compliance while enabling downstream teams to deliver more meaningful communications.

Experience Level: Senior Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Automotive Salary Range: Not specified Salary Min: Not specified Salary Max: Not specified Salary Currency: USD Salary Period: Year Required Skills: Salesforce, CRM, Data Management, Marketing, Agile, Jira, Data Pipelines, APIs, Cloud Platforms, Batch and/or Event-driven Data Flows, Data Modeling, Enterprise Integrations Preferred Skills: None

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In this position, you will interact with feature owners and software development teams to scope and define robust systems interface and software requirements, with a strong emphasis on proactive Design Failure Mode Effects and Analysis (DFMEA). This includes the process of deriving functional level requirements from feature level requirements, and utilizing a model-based systems engineering approach in conjunction with Behavior Driven Development methodology to define individual functions, use cases, sequence diagrams, and test cases, ensuring design for reliability and early identification and mitigation of potential failure modes across the In-Vehicle Infotainment and Connectivity sub-system and software levels.

Responsibilities:

• Executing functional partitioning of features, focusing on identifying and isolating potential failure points and ensuring fault tolerance.
• Developing robust and fault-tolerant interfaces between allocable classes, considering potential failure propagation and implementing safeguards.
• Specifying comprehensive system-level and ECU software requirements, explicitly defining expected behavior, error handling, and failure recovery mechanisms based on DFMEA principles.
• Adopting model-based systems engineering (MBSE) methodologies for specification development, leveraging modeling and simulation for early failure mode identification and mitigation.
• Using Requirement Management tools for requirement authoring, change management, and specification generation, ensuring traceability to DFMEA activities and reliability targets.
• Using Behavior Driven Development (BDD) with Gherkin syntax to develop scenarios and associated test cases, incorporating negative test cases and failure scenarios derived from DFMEA analyses.
• Leading and performing comprehensive Design Failure Mode Effects and Analysis (DFMEA) activities throughout the product lifecycle to ensure the thoroughness, robustness, and reliability of software and system designs, proactively identifying and addressing potential failure modes.
• Managing cross-functional working level meetings with Feature/Function Owners, module owners, HMI teams, and the IVI Platform team to develop functional integration strategies that incorporate reliability and failure avoidance considerations.
• Performing rigorous system compatibility analysis and impact assessment for IVI feature deployment, specifically evaluating and mitigating potential failure modes introduced by new architectures, programs, or market variations.
• Proactively identifying, analyzing, and resolving complex technical issues at the system and interface level impacting the In-Vehicle Infotainment system, applying systematic root cause analysis and implementing design changes to prevent recurrence and enhance reliability.

Qualifications:

• Minimum of a Bachelor of Science Degree in Computer/Software/Electrical Engineering or equivalent.
• 5+ years of experience with electrical architecture, electrical systems, and automotive network topologies, with a strong background in Systems Engineering and reliability principles.
• 5+ years of experience in robust requirement development, verification, and validation, with a focus on designing for reliability and testability, and experience in component/vehicle level testing for failure modes.
• Proven experience in systematically analyzing and resolving complex systems issues, employing root cause analysis, corrective action methodologies, and implementing design solutions for failure avoidance.
• In-depth knowledge of CAN, LIN, and Ethernet-based In-Vehicle Network protocols and processes, including understanding of potential failure modes and diagnostic strategies.
• Knowledge of Service Oriented Architecture (SOA) based API design, with an understanding of fault tolerance and error handling in distributed systems.
• Knowledge of Human Factors and Human-Machine Interfaces (HMI), including considerations for usability, error prevention, and graceful degradation in failure scenarios.
• Strong knowledge of Requirements Engineering (INCOSE, EARS, BDD/Gherkin), with an ability to translate reliability and safety requirements into actionable specifications.
• Demonstrated in-depth knowledge and practical application of Design Failure Mode Avoidance (DFMA), Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and other reliability engineering techniques.
• Knowledge of Unified Modeling Language (UML) or System Modeling Language (SysML) for modeling system behavior, structure, and potential failure modes.
• Knowledge of Computer Programming Competencies (C++, Python, Java) for developing robust and fault-tolerant software.
• Familiarity with Automotive Infotainment Systems or other Automotive Domains, including a deep understanding of interfaces, communication protocols, features/functions, architecture, and common failure mechanisms.

Preferred qualifications include knowledge of Network tools (VehicleSpy, CANalyzer, CANoe, ValueCAN, Ethernet tools), requirement authoring tools (VSEM System Engineering, DOORS, JAMA, Polarion, etc), UML/SysML tools (IBM Rational Rhapsody, MagicDraw), Software Version Control Systems and cloud storage (Git, GitHub), VSCode, Technical Writing, Agile Methodologies (Scrum, Kanban), and MS Office Suite.

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For\-ward Deployed Engineers (FDEs) lead complex end\-to\-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval\-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production.
• Build full\-stack systems that deliver customer value and sharpen how we learn.
• Embed closely with customer teams, understand their needs, and guide adoption of what you build.
• Scope work, sequence delivery, and remove blockers early.
• Make trade\-offs between scope, speed, and quality; adjust plans to protect delivery.
• Contribute directly in the code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks that others can use.
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keep teams moving through clarity and follow\-through.

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer\-facing work.
• Have scoped and delivered complex systems in fast\-moving or ambiguous environments.
• Write and review production\-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
• Simplify complexity and make fast, sound decisions under pressure.
• Communicate clearly with engineers, product teams, and customer stakeholders.
• Spot risks early and adjust without slowing down.
• Model calm and judgment when the stakes are high.

About OpenAI

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution.

Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI's technology into durable capability,through structured training, technical enablement, and scalable deployment programs.

By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work.

About the Role

We are looking for a Lead, Builder ADM to lead a team responsible for enabling enterprise customers to successfully deploy and adopt OpenAI products in the Enterprise.

This role combines technical leadership, customer enablement, and people management. You will build and develop a team of AI Deployment Managers while shaping scalable enablement programs that help organizations operationalize frontier AI technologies across our existing and emerging product suite.

You will work closely with Sales, Technical Success, and Product teams to ensure customers are equipped with the knowledge, tools, and best practices needed to successfully deploy OpenAI products across their organizations.

In This Role You'll:

Lead Customer Enablement

• Own the technical enablement strategy for OpenAI's products, including ChatGPT Enterprise, Codex, Agents, and APIs

• Lead customer training and services across the full lifecycle,from onboarding to expansion and long-term adoption

• Design and deliver high-impact engagements including enterprise onboarding, developer workshops, executive briefings, and technical bootcamps

• Drive customer activation, sustained usage, and measurable business value through structured enablement programs

• Develop scalable enablement assets, playbooks, and best practices based on patterns observed across customers

Build and Lead a High-Performing Team

• Hire, onboard, and develop a team of Technical AI Deployment Managers

• Provide mentorship and coaching to team members delivering enterprise enablement programs

• Establish best practices for technical enablement delivery across regions and customer segments

• Set clear goals and performance metrics aligned with customer adoption and product success

Drive Operational and Strategic Impact

• Own deployment strategy for ADM engagements across enterprise customers

• Identify patterns across customer deployments and translate insights into scalable enablement frameworks

• Partner with product and go-to-market teams to incorporate customer insights into roadmap and strategy

• Improve enablement tooling, operational processes, and program scalability

• Managers in this role may also lead strategic enterprise enablement engagements, including executive briefings and advanced technical workshops.

You Might Thrive in This Role If You:

• Have 10+ years of experience in technical enablement

• Have 2+ years of experience leading technical, customer-facing teams such as solutions engineering, technical success, developer relations, or technical enablement

• Are comfortable explaining complex technical systems to both executive and developer audiences

• Have strong technical depth across APIs, coding, agents, and AI systems

• Understand how AI systems are deployed in production, including concepts like RAG, model evaluation, fine-tuning, and system tradeoffs

• Have led technical trainings, workshops, or enablement programs for enterprise customers

• Can connect technical capabilities to real business outcomes such as productivity, efficiency, and revenue impact

• Thrive in fast-moving environments and enjoy learning new technologies quickly

Why This Role

• Lead a frontier AI enablement team You will help define how OpenAI enables enterprise organizations to adopt AI at scale.

• Scale impact through people Rather than supporting a handful of customers yourself, you will develop technical leaders who enable hundreds of organizations adopting AI.

• Shape OpenAI's enterprise playbook Your team will influence how enterprises operationalize frontier AI technologies, shaping product feedback loops and adoption strategies.

• Turn cutting-edge AI into real-world impact This role sits where frontier AI meets real-world deployment,helping organizations move from experimentation to durable production use.

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$185K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The ChatGPT Ecosystem team is a core part of our broader effort to evolve ChatGPT into a true super-assistant.

Our goal is to build the platform that allows developers,and eventually end users,to extend ChatGPT in powerful ways, making it dramatically more useful across a wide range of real-world tasks. We’re creating the foundation for a rich ecosystem of applications, integrations, and tools that expand what ChatGPT can do.

This team sits at the intersection of product engineering, platform design, and developer experience, working closely with product, research, security, and trust & safety to enable a global community of builders to create on top of ChatGPT.

About the Role

As a Full Stack Engineer on the ChatGPT Ecosystem team, you will help design and build the platform that powers ChatGPT Apps and developer integrations.

You’ll work across the stack,from developer-facing interfaces to backend systems,to ship features that make it easier for developers to build, deploy, and scale applications within ChatGPT. You’ll collaborate closely with product managers, researchers, and cross-functional partners to translate evolving model capabilities into robust, developer-friendly tools.

We’re looking for engineers who enjoy building platforms, care deeply about developer experience, and are excited to shape the foundation of a new application ecosystem.

What You’ll Do

• Build end-to-end platform features that power the ChatGPT Apps SDK and broader developer ecosystem.

• Design and implement APIs, services, and interfaces that enable developers to build and integrate applications within ChatGPT.

• Improve developer workflows, tooling, and documentation to make building on ChatGPT intuitive and scalable.

• Partner closely with Product, Security, Trust & Safety, and Research to ship high-quality, safe, and reliable platform capabilities.

• Iterate quickly based on developer feedback to continuously improve the platform and ecosystem experience.

• Help define the technical direction and architecture of the ChatGPT Ecosystem as it scales.

You Might Thrive Here If You

• Enjoy building high-quality product and platform experiences across the full stack.

• Are comfortable owning features from concept to production in a fast-moving environment.

• Have experience working with modern web technologies and backend systems (language/framework flexibility is fine).

• Have experience building developer tools, APIs, or platforms (e.g., SDKs, integrations, open source projects, or internal tooling).

• Care deeply about developer experience and designing intuitive, well-crafted interfaces and abstractions.

• Like tackling ambiguous problems and shaping them into clear, scalable solutions.

• Are excited about building foundational systems that other developers will build on top of.

• Have experience with or interest in AI-powered applications and LLM-based systems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be shared by everyone, not just a select few.

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This role serves as the Directly Responsible Individual (DRI) for revenue accounting outcomes across these initiatives, ensuring scalable, compliant, and operationally sound revenue reporting.

Key responsibilities include:

• Serving as the Revenue Accounting DRI for strategic initiatives including M&A integrations, and complex partnership arrangements across multiple jurisdictions.

• Partnering cross-functionally with Technical Accounting, Strategic Finance, Legal, Tax, Product, GTM, and Deal Desk to design compliant revenue solutions that support business growth.

• Assessing new commercial models, partnership structures, and contract terms for ASC 606 implications, principal vs. agent considerations, gross vs. net presentation, and revenue disclosure impacts.

• Driving operational readiness for new launches, including process design, systems requirements, controls, and close readiness.

• Supporting diligence, integration planning, and post-close execution for acquisitions with a focus on revenue recognition, customer contracts, and reporting implications.

• Leading revenue reporting conclusions and executive-level communication for these workstreams, ensuring alignment across stakeholders and auditors.

• Identifying opportunities to improve automation, scalability, and controllership readiness as the business expands globally.

You might thrive in this role if you have 8+ years of experience in Revenue Accounting, Technical Accounting, Big 4, or high-growth technology environments.

Deep knowledge of ASC 606 and strong judgment across complex revenue models are also essential.

Additionally, experience supporting strategic partnerships, new business models, M&A integrations, or international expansion is highly valued.

Strong executive presence with the ability to influence cross-functional stakeholders and simplify complex accounting topics for non-accountants is also necessary.

A builder mindset with strong operational rigor and the ability to drive ambiguous workstreams to clear outcomes is also required.

Experience in high-growth environments with a strong bias for action and ownership is also preferred.

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Your primary responsibilities will include:

• Serving as the technical lead for designing and implementing GenAI solutions.
• Leading the entire lifecycle of AI projects, from translating high-level business needs into well-defined technical problems to deploying and maintaining enterprise-grade agentic solutions in our cloud environment.
• Partnering with IT, PRE, and business teams to ensure the seamless deployment, integration, and operational success of AI/ML solutions within the broader software architecture.
• Applying advanced analytical solutions (including machine learning and statistical models), and conducting analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.
• Working with high-volume, high-dimensional structured and unstructured data from a variety of sources and implementing algorithms to identify anomalies, relationships, and trends.
• Developing complete system designs that include data, pre-processing, modeling, optimization, post-processing, and interfaces for user interaction.
• Interpreting and presenting complex modeling results, system designs, and strategic recommendations to technical peers, cross-functional teams, and senior leadership in a clear and compelling manner.

To succeed in this role, you will need:

• A Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, or Engineering degree or a related field of study.
• 5+ years of professional experience in software engineering, machine learning, or a data-focused role.
• 3+ years of hands-on experience developing and deploying machine learning solutions using languages like Python, PySpark, or Scala.
• 1+ years of direct, hands-on experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or related Generative AI technologies.
• Proficiency with SQL and experience engineering data from diverse, high-volume sources.

Even better, you may have:

• An MS or PhD in a related field.
• Demonstrated success applying ML and AI to solve real-world industrial problems with large-scale data.
• Proficiency with version control (Git) and CI/CD practices within an agile development environment.
• Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets.
• Strong interpersonal and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner.
• A self-starter mentality, with the ability to navigate ambiguity and drive projects forward with minimal direction in a fast-paced environment.
• Ability to work in an environment where problems are not always well-defined.

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OpenAI's AI Success Engineer team partners with the world's most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI's most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI's platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation.
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
• Conduct technical enablement and configuration sessions across our broad product portfolio.
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.
• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting.
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.
• Help drive expansions by identifying high-leverage opportunities where OpenAI's platform can power new workflows or lines of business.
• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You'll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.
• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure.
• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams.
• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.
• Have a strong record of driving technical deployments with hands-on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

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This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems.

You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline.

You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch.

Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management.

Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices.

Build technical solutions that connect Workday with internal platforms, external vendors, and AI-powered tooling.

Contribute to more agentic internal workflows by helping design systems that combine HR data, automation, orchestration, and intelligent tooling.

Use Git-based development practices, code review, and structured change management to deliver safely in a fast-moving environment.

Use CLI-based tools and developer workflows to build, test, troubleshoot, and support production systems efficiently.

Partner with stakeholders across People, Finance, Security, and Engineering to translate business needs into durable technical solutions.

Establish and raise standards for observability, security, supportability, and long-term maintainability across the People systems stack.

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$216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production-grade AI systems. FDE sits at the intersection of Product, Engineering, Research, and GTM. We embed deeply with users to solve high-leverage problems and surface patterns that shape our platform. We take frontier capabilities into the real world and translate customer signal into durable solutions, repeatable patterns, and product direction.

About the role

We’re hiring an Strategy and Ops Lead to build, run, and evolve the systems that enable the FDE team to execute at scale. This role sits at the core of the team and directly shapes how effectively we deploy frontier AI in the real world. You’ll turn fast-moving signals from the field and the business into clear operational plans, aligning project demand with FDE capacity, driving staffing decisions, and ensuring the portfolio scales predictably.

You will partner closely with Business, Product, and GTM stakeholders to improve how we prioritize, plan, and coordinate. Rather than leading a single program, you’ll run core operating rhythms for the team, such as portfolio reviews, execution tracking, and quarterly planning, ensuring leaders have clear visibility into risks and delivery progress as the organization scales. This is a senior IC role with broad ownership across the FDE operating model.

In this role you will

• Own FDE capacity planning, translating pipeline and active project demand into hiring forecasts.

• Run the operating rhythm across portfolio reviews and quarterly planning, ensuring leaders have visibility into priorities, risk, dependencies, and the decisions needed to keep execution moving.

• Determine how customer engagements should be staffed across FDE and partner channels, working with GTM and FDE leadership to make explicit tradeoff calls based on scope, strategic value, and capacity constraints.

• Codify and evolve the FDE operating model so each subsequent deployment becomes easier to scope and deliver.

• Identify and resolve emerging operational bottlenecks as FDE scales, implementing lightweight systems that improve execution without adding unnecessary overhead.

You might thrive in this role if you

• Bring 6+ years in technical program management, engineering operations, business operations, or similar operator roles supporting technical teams in fast-paced, high-ambiguity environments.

• Have built 0→1 operating mechanisms that scaled a technical team through rapid growth.

• Bring alignment to conflicting priorities and resource tradeoffs, driving teams toward measurable outcomes at pace.

• Break down ambiguous operational challenges into clear workstreams, anticipate risks early, and make sound decisions under pressure while balancing speed with long-term system health.

• Communicate clearly across engineering, product, GTM, and executive audiences, simplifying complexity and translating tradeoffs into actionable decisions.

• Influence senior leaders without formal authority, aligning teams with different incentives around clear, shared outcomes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Benefits

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-an

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Responsibilities:

• Lead Generator integration into existing and future electric and EREV vehicle architectures.
• Lead the team to provide technical system support throughout all phases of the vehicle program to ensure robust system engineering and program execution and performance.
• Lead to work with program team to understand the required functional and physical properties of a ebeam system
• Lead on system DFMEA and manufacturing PFMEA
• Lead and drive Tier 1 supplier to manage them deliver our programs on time with best cost/quality
• Lead to work with Vehicle Engineering and Vehicle Controls team to ensure system / subsystem interfaces delivery.
• Identifies, tracks, and resolves engineering issues.
• Support program launches

Qualifications:

• BS in Mechanical, Industrial, or Electrical Engineering or a related field require
• 5+ years of transmission or eDrive unit development, or Powertrain experience
• 5+ years experience in Microsoft tools
• 5+ years of CAD experience
• Masters in product development or other Engineering degree preferred
• Tools: Proficiency in MBSE tools, CAD/CAE simulation environments, and data analysis platforms.
• Versed in UML and SysML modeling languages preferred
• Basic software writing in Python or Groovy preferred
• Model Based System Engineering development utilizing MagicDraw/3DX toolkit preferred
• Experienced in analyzing a descriptive model to assist in complex decision making preferred
• Prior experience in Systems design and processes
• Proven delivery of balanced Quality/Cost/Weight/Function/Timing attributes for components or subsystems
• Clear communication skills and highly motivated to exceed expectations in a constantly changing product landscape
• Formal Systems Engineering knowledge to solve complex problems
• Systems Engineering: Expertise in systems engineering principles, including P-diagrams, DFMEA, and functional safety.
• Strong foundation in FMA processes and documentation
• Strong understanding of vehicle dynamics, electric motors, battery systems, and traditional ICE components.
• Knowledge of Driveline controls / communication system
• PPAP experience
• Six Sigma Green Belt or Black Belt certification

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Salary:

This position is leadership level 6 and ranges from $115,500-$218,100.

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LOCATION: San Francisco DEPARTMENT: Data Science JOB TYPE: Full time WORK ARRANGEMENT: Hybrid

JOB DESCRIPTION:

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied team safely brings OpenAI's technology to the world. We released ChatGPT; Plugins; DALL·E; and the APIs for GPT-4, GPT-3, embeddings, and fine-tuning. We also operate inference infrastructure at scale. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. ChatGPT is a prime example of what is currently possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Scaled Abuse team works within our Applied Engineering organization identifying and responding to fraudsters on our platform. We are looking for a data scientist with anti fraud & abuse experience to help architect and build our next-generation anti-abuse systems.

About the Role

The Platform Abuse team protects OpenAI’s products from abuse. In the data scientist role, you will be responsible for discovering and mitigating new types of misuse, and scaling our detection techniques and processes. Platform Abuse is an especially exciting area since we believe most of the ways our technologies will be abused haven’t even been invented yet.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In this role, you will:

• Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience.

• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system.

• Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries.

• Utilize GPT-5 and future models to more effectively combat fraud and abuse.

You might thrive in this role if you:

• Have experience on a highly technical trust and safety team and/or have worked closely with policy, content moderation, or security teams.

• Can use coding languages (Python preferred) to programmatically explore large datasets and generate actionable insights to solve problems.

• Proven ability to propose, design, and run rigorous experiments (A/B tests, quasi-experiments, simulations) with clear insights and actionable product recommendations, leveraging SQL and Python.

• Excellent communication skills with a track record of influencing cross-functional partners, including product managers, engineers, policy leads, and executives.

• Bonus if you have experience with deploying scaled detection solutions using large language models, embeddings, or fine tuning.

• 5+ years of quantitative experience in ambiguous environments, ideally as a data scientist at a hyper-growth company or research org, with exposure to fraud, abuse, or security problems.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $293K - $325K

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Backend Software Engineer , Okta Privileged Access Management (PAM)

Ever wonder how large organisations make sure the right people can access their most critical systems? That's the problem we solve. Our team builds the infrastructure that controls who can reach sensitive servers, databases, and cloud resources, grants access only when it's needed. It is the security layer between people (and non-human-interfaces) and the systems they need to do their jobs.

We're looking for a Backend Software Engineer who wants to work on hard problems: distributed systems and building software where getting it right really matters. You'll ship code that protects real infrastructure for real organisations. You’ll build foundations that multiple feature teams depend on. When you make something faster, more reliable, or easier to use, it multiplies across the entire product.

This is a role for someone who likes thinking about how systems fit together. You'll need strong opinions about what makes a good abstraction, and the flexibility to evolve those abstractions as the product grows.

The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

We are looking for a Backend Software Engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the building blocks of the product. In this role you will:

• Be deeply involved in evolving the core architecture of PAM.

• Work in our product development teams to build scalable, composable components of our platform.

• Be responsible for designing and implementing scalable architecture patterns.

• Design and build APIs with OpenAPI Specification that customers rely on for access to production infrastructure.

• Work on backend systems written in Go

• Participate in the rotational on-call activities with SRE and product development teams.

You might be a good fit if you:

• Are an experienced software engineer with a background in Golang (other languages are also acceptable)

• Experienced working with relational databases like PostgreSQL or similar RDBMS technologies.

• Have the ability to design database models and backend APIs.

• Have experience working with cloud services like Caching, Queues, NoSQL Databases etc.

• Experienced working with any cloud provider such as AWS, GCP or Azure.

• Thrive in a collaborative environment built on end-to-end ownership.

• Love thinking about distributed systems, and the reliability, availability, and performance implications of the decisions made in their design.

• Enjoy deep-diving into production metrics, and familiarity with monitoring tools like Splunk, DataDog etc.

• Think in terms of systems, services, and APIs.

Required education and experience:

• 8+ years working as a software engineer.

• Experience working with production systems.

• Bachelors in CS, or equivalent

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We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity.

As a member of the Codex Deployment Engineering team, you will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

Key Responsibilities:

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

• Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

• Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

• Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

• Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

• Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

• Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

• Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

Requirements:

• 5+ years of post-sales engineering or solutions architecture, working directly with customers.

• 2+ years of software engineering experience and a strong understanding of the software development life cycle.

• Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

• Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

• Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

• Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

• Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

• Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

• Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.

Why Join Us?

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Key responsibilities include:

• Leading and scaling a high-impact engineering team focused on growth-driven initiatives.
• Driving user growth and subscriptions by building and optimising sign-up flows, onboarding experiences, and subscription models.
• Improving retention and engagement by developing features that enhance user experience, personalisation, and re-engagement strategies.
• Running data-driven experiments (A/B tests, pricing models, referral programmes, churn prevention tactics) to optimise key growth metrics.
• Collaborating with Product, Marketing, Design, and Data Science teams to align on growth strategies and initiatives.

Requirements include:

• 5+ years of engineering management experience.
• Strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features.
• A track record of driving growth through experimentation, optimisation, and data-driven decision-making.
• Experience with subscription models, user acquisition, retention tactics, and monetisation strategies.
• Comfortable working with A/B testing, funnel analysis, user segmentation, and personalisation techniques.
• Experience using analytics tools (SQL, Amplitude, Looker, or similar) to guide product decisions.
• Passionate about AI and excited to work on bringing cutting-edge AI technologies to millions of users.

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We are looking for a highly skilled Senior Data Engineer to become part of our core Data & AI Engineering team. In this pivotal role, you will be responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively,extracting, exploring, analyzing, and generating insights,through various platforms using ZI's internal chat agent

The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities.

You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems

• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
• Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
• Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion.
• Implement and enforce Model Context Protocol (MCP) or similar architectures to feed accurate and contextual data into our LLM-powered products for applications like Retrieval Augmented Generation (RAG) and advanced search.
• Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value.
• Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority.
• Mentor and coach junior engineers, promoting best practices in code quality, data architecture, and operational excellence.
• Participate in architectural decisions and long-term strategy planning for our enterprise-wide data infrastructure, with a focus on cost, performance, and reliability.

• Expert-level SQL for building performant, scalable queries and transformations on massive datasets.
• Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs.
• Production-level experience for large-scale batch and streaming data processing.
• Hands-on experience with DBT (Data Build Tool) for advanced data modeling and transformations in a modern data stack.
• Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling.
• Experience implementing Model Context Protocol (MCP) or similar architectures to feed structured and unstructured data into LLM-powered systems.
• Strong understanding of data architecture concepts, including data lakes, event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh.
• Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform).

Nice to Have:

• Familiarity with LLMOps, LangChain, or RAG (Retrieval Augmented Generation) pipelines.
• Experience with building embedding models or pipelines for Named Entity Recognition (NER).
• Knowledge of data cataloging tools (e.g., OpenLIneage, etc.) and lineage tracking.
• Familiarity with other distributed systems and databases (e.g., DynamoDB, Flink).

Required Non-Technical Skills:

• Excellent communication skills – ability to explain complex technical concepts to both engineering teams and non-technical stakeholders.
• Strategic & Product-Oriented Thinking – can translate business objectives and customer needs into scalable, high-impact data solutions.
• Leadership & Mentorship – experience guiding and uplifting engineering teams to achieve their full potential.
• Stakeholder Management – able to collaborate effectively across departments (Product, Engineering, Sales, Compliance).
• Agility & Adaptability – thrives in ambiguous, evolving environments and can rapidly prototype and iterate on solutions.
• Strong documentation habits and ability to evangelize best practices across the organization.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in data engineering, with a track record of leadership and impact.
• Demonstrated experience in implementing or scaling data infrastructure for a data-centric product company.

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