As a Hosting Services Staff Engineer, you'll lead the development and refinement of major subsystems powering the hosting services systems. This includes developing new and refined product features, supporting day-to-day operations, identifying patterns and building systems and patterns to streamline development and increase quality over time, performing and presenting technical & product deep dives to relevant stakeholders, and strategic planning.

At the staff level, our engineers are responsible for establishing a technical vision and then delivering a solution that is flexible, always available, efficient, and scales with the needs of the business.

The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Mixpanel is a digital analytics platform that helps teams accelerate adoption, improve retention, and ship with confidence. It has over 29,000 customers, including Workday, Pinterest, LG, and Rakuten Viber.

About the Team ==============

Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process.

Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.

Responsibilities ===============

Lead and build AI-first product experiences from inception to global scale.

Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential.

Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.

Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.

Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.

Requirements ============

10+ years engineering experience; 4+ years leading engineering teams

Experience building and running infrastructure supporting real-world, customer-facing web applications.

Experience building and using AI-powered products in production environments.

Proven collaboration with product managers and designers on meaningful infrastructure.

Strong judgment in technical tradeoffs, backed by lessons learned.

Evidence of leadership through influence, alignment, and growing others.

Director candidates must have experience managing managers.

Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures

High level of ownership, accountability, and product intuition

Additional Resources ====================

Engineering Life Page

Engineering Blog

Compensation ==========

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations.

Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $279,000-$377,000 USD

Benefits and Perks =================

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values ==============

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Why choose Mixpanel? ================

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Conclusion ========

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity.

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Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match.

Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

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You will set the deployment-engineering strategy for cluster build-out , how racks are organized into pods, halls, and sites; how compute, network, power, and cooling systems interface at the rack boundary; and how deployment scope flows cleanly from hardware specification to facility delivery to a running cluster.

This role is focused on deployment engineering, not on datacenter network or systems design , your scope is making sure clusters land cleanly and predictably, not designing the fabrics or facilities themselves.

You will work across hardware, networking, facilities, supply chain, and construction to ensure that every generation of accelerator we deploy lands in a datacenter that is ready for it , on schedule, at full density, and with every piece of required infrastructure accounted for.

You will be the person who sees around corners: anticipating how next-generation rack designs will stress our facilities, where our deployment model will break at scale, and what needs to change now so that the next cluster turn-up is faster and more predictable than the last.

You will operate at the intersection of engineering strategy and execution discipline, partnering with internal research and systems teams, external developers, engineering firms, and OEM partners to deliver cluster capacity at the speed the frontier demands.

Responsibilities:

• Own cluster-level deployment strategy , define how AI compute clusters are organized across the floor, how racks interconnect, and how cluster topology requirements translate into facility and deployment scope across a portfolio of sites.

• Set rack interface standards spanning power, network, mechanical, thermal, and spatial domains, and ensure that every deployment includes the complete set of infrastructure required to bring a cluster online.

• Drive multi-threaded cluster bring-up programs across hardware, networking, power, and cooling , owning plans, dependencies, and critical paths from hardware specification through energization and turn-up.

• Partner with internal engineering teams , research, systems, networking, and hardware , to translate cluster requirements into deployable facility scope, and to derisk onboarding of new hardware platforms well ahead of delivery.

• Lead external partner execution with developers, engineering firms, OEMs, and construction teams, driving technical reviews, deviation management, and handoffs that keep deployments on schedule and within specification.

• Improve cluster turn-up reliability and repeatability , identify systemic gaps in deployment scope, tooling, and partner interfaces, and drive durable fixes that reduce time-to-serve for new capacity.

• Define and track deployment KPIs , cluster readiness, schedule adherence, scope completeness, time-to-first-packet , and use historical trends to forecast risk and inform capacity planning.

• Coordinate cross-functional readiness across supply chain, security, operations, and construction to ship production-ready compute capacity.

• Provide crisp executive visibility on deployment progress, tradeoffs, and risks across a portfolio of concurrent cluster programs.

• Design cluster interfaces for durability , define rack and cluster-level interfaces that remain robust across hardware generations, so that facility scope and deployment models do not need to be reinvented every time the underlying hardware changes.

• Build cluster layout and BOM tooling , create and maintain the tools, templates, and data models that turn cluster topology and rack specifications into accurate floor layouts, deployment sequences, and complete bills of materials, replacing one-off spreadsheets with repeatable, auditable workflows.

You may be a good fit if you:

• Have 10+ years of experience in hyperscale datacenter environments, with senior-level responsibility for cluster deployment, large-scale IT integration, or equivalent infrastructure programs.

• Have delivered AI, HPC, or high-density compute clusters at scale and developed a strong intuition for the constraints that govern cluster deployment , interconnect reach, adjacency, power density, and thermal limits.

• Can operate fluently across the boundary between IT hardware and facility infrastructure, and have set interface standards that held up across multiple hardware generations and sites.

• Have led cross-functional programs with both internal engineering teams and external developers, engineering firms, and OEM partners, and are effective at driving alignment across organizational levels.

• Combine strong systems thinking with execution discipline , comfortable zooming from cluster topology and portfolio strategy down to the specific interface detail that will otherwise become a field issue.

• Communicate clearly with technical and executive audiences, and can distill complex, multi-disciplinary programs into decisions and tradeoffs leadership can act on.

• Thrive in ambiguous, fast-moving environments where the hardware, the scale, and the requirements are all changing simultaneously.

• Hold a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or equivalent practical experience.

Strong candidates may also:

• Have direct experience deploying leading-edge AI accelerator clusters at hyperscale.

• Have shaped reference designs, deployment standards, or cluster-level playbooks that were adopted across a fleet.

• Have experience working across multiple geographies and understand how regional codes, climate, utility constraints, and supply chains shape cluster-level decisions.

• Have partnered closely with hardware and system providers on long-term platform onboarding and bring-up.

• Have experience building the program mechanisms , roadmaps, milestones, risk registers, runbooks , that make delivery predictable at massive scale.

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$405,000 USD

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Engineering Manager, you will lead the Identity Accounts team , the platform foundation that powers every user, organization, and account at Coinbase.

This is one of the most visible and business-critical engineering platforms at the company: your team’s services handle authentication, authorization, security settings, and account management for millions of customers across every Coinbase product.

You will manage engineers across three sub-teams (Foundations, Users Platformization, and Settings & Account Management), drive roadmap execution in close partnership with your Tech Lead and Product Manager, and represent the team to 20+ internal product groups and key partners in Security, Risk, Compliance, and Design.

If you thrive at the intersection of deep technical problems and cross-functional leadership, this role is for you.

Key Responsibilities:

• Lead and grow a team of engineers across backend, frontend, and site reliability , building a high-performing team through hiring, coaching, and career development.

• Drive roadmap execution across three focused sub-teams: Foundations (authorization infrastructure), Users Platformization (decomposing the legacy monolith), and Settings & Account Management (Security Settings 2.0, account navigation redesign).

• Own reliability and operational excellence for 8+ mission-critical Tier-0/Tier-1 services , maintaining 99.99% uptime, championing engineering quality, and acting as quarterback during high-severity incidents.

• Represent the team to internal product groups and key partners in Security, Risk, Compliance, and Design , building alignment and ensuring seamless integration support.

• Partner with Product and your Tech Lead to define strategic roadmaps, prioritize initiatives, and translate complex constraints into simple, scalable platform solutions.

• Champion engineering excellence , drive code and design reviews, set engineering standards, and build every capability to be composable and reusable across product lines (no bespoke, one-off integrations).

• Accelerate internal customers by reducing new product team onboarding time to under 2 weeks and delivering excellent APIs, clear documentation, and strong integration support.

Requirements:

• 7+ years of experience in software engineering, with at least 2 years of engineering management experience leading teams of 5+ engineers.

• Proven track record shipping large-scale distributed systems serving millions of users in production.

• Technical fluency in coding, system design, API architecture, and reliability tradeoffs , able to be hands-on when needed (writing/reviewing code, leading incidents, triaging bugs).

• Strong communicator who writes clearly, builds organizational alignment, and can represent the team effectively to senior leadership and cross-functional partners.

• Experience building and scaling high-performing engineering teams through hiring, developing, and promoting talent.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Experience in identity, authentication, authorization, or account management systems.

• Prior experience leading a Platform team or similar domain with high internal customer dependency.

• Familiarity with our stack: Go, gRPC, React, SpiceDB, Kubernetes, PostgreSQL, Kafka, Datadog.

• Background building financial, high-reliability, or security systems.

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At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Emerging Technologies & Incubation (ETI)

ETI is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare's edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI's Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability.

While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable. You'll be joining a highly motivated team that is building the next generation of distributed storage services.

Responsibilities

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation.

You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo

Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project

In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1

We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore.

Role Summary

We are seeking a strategic and execution-focused Product Manager to help lead our integration and go-to-market efforts as part of our partnerships team. In this role, you will drive the product strategy, roadmap, and joint initiatives to grow adoption of Mistral AI Studio through our partner ecosystem.

Responsibilities

Customer and Market Understanding

• Conduct market research to understand ecosystem trends, cloud buyer personas, and competitive dynamics.

• Engage with customers to gather feedback and validate product positioning, integrations, and features.

Product Vision and Strategy

• Define and champion the vision and roadmap for our partner strategy.

• Collaborate with cross-functional teams (science, GTM, marketing) to align product strategy with business objectives.

• Identify opportunities to innovate throughout the partner ecosystem.

Product Development

• Work closely with partner teams and Mistral engineering to define, prioritize, and build product integrations.

• Ensure our technical architecture supports security standards, scalability, and co-sell eligibility.

Go-to-Market Strategy

• Co-create and execute a joint GTM strategy with field and partner marketing teams to accelerate co-sell motion.

• Define value propositions, key differentiators, and messaging tailored to partner-specific personas.

• Lead packaging and pricing discussions for partner offers, ensuring alignment with enterprise use cases.

High-Quality Execution

• Drive high-quality product execution, delivering intuitive and impactful products on time and within budget.

• Architect the product around partner services and identify additional custom development requirements.

User Experience and Feedback

• Partner with UX and design teams to create seamless, intuitive experiences for partner-native user journeys.

• Incorporate continuous feedback from partner Preview programs, beta testing, and telemetry to refine features.

Performance Metrics

• Establish and track KPIs (revenue generation, active users, usage, retention, user satisfaction, CAC, profitability).

• Optimize product performance based on data-driven insights.

Stakeholder Management

• Build and maintain strong relationships with internal stakeholders and customers.

• Communicate product updates, launches, and roadmaps effectively.

Product Evangelism

• Serve as a company and product evangelist through thought leadership, blogging, social media, and industry events.

Requirements

• 7+ years of product management experience, preferably in cloud, SaaS, or developer platforms.

• Proven success in B2B platform integrations and working with partner ecosystems, especially cloud hyperscalers (Microsoft preferred).

• Deep understanding of Hyperscaler partnership programs (e.g., IP co-sell, ISV Success, Commercial Marketplace onboarding).

• Hands-on experience with cloud infrastructure services and ability to collaborate with engineers on API design, integrations, and infrastructure tradeoffs.

• Customer-centric mindset, strong communication and influencing skills, and ability to speak the language of developers, cloud architects, and DevOps professionals.

• Strategic thinker with a results-oriented, collaborative approach and problem-solving skills.

Benefits

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision covered for you and your family

• 401K: 6% matching

• PTO: 18 days

• Transportation: Reimburse office parking charges, or $120/month for public transport

• Sport: $120/month reimbursement for gym membership

• Meal stipend: $400 monthly allowance for meals

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, powering self-driving cars, cloud infrastructure, and learning machines.

You Are:

A Staff-level analog/MS engineer who owns complex designs end-to-end, influences architecture, and mentors others. You balance performance, reliability, and schedule in advanced CMOS and communicate clearly across teams.

If you are excited by the prospect of shaping high-speed connectivity in AI, cloud, automotive, and beyond - and you seek to empower some of the world's most advanced systems - this role is your opportunity to make a meaningful impact.

What You'll Be Doing:

• Taking end-to-end ownership of critical analog and mixed-signal blocks in high-speed SERDES designs
• Making architectural and circuit-level tradeoffs to optimize power, performance, area, and reliability
• Defining, verifying, and documenting testbenches for rigorous pre-silicon validation
• Leading custom analog layout coordination, ensuring parasitic awareness and post-layout optimization
• Driving robustness and quality sign-off processes, including PVT, mismatch, aging, reliability, and yield analysis
• Aligning system-level interfaces and usability considerations for seamless integration
• Executing silicon bring-up, characterization, and correlation against design specifications
• Providing technical leadership, mentorship, and guidance within a collaborative, multidisciplinary team

What You'll Need:

• MS/PhD in Electronics/Computer Engineer or equivalent; typically 7+ years or equivalent Staff-level impact
• Deep analog/MS in deep sub-micron CMOS; signal integrity/noise/jitter
• Proven architecture tradeoffs and production silicon experience
• Strong custom analog layout collaboration; post-layout optimization
• Excellent communication; ability to influence across teams

The Team You'll Be A Part Of:

You will join the IP and System Solutions Group, a cornerstone of Synopsys' mission to enable the industry's most advanced silicon. The SERDES team is renowned for developing high-speed interface IP, deployed across a wide range of applications and technology nodes. This multidisciplinary group collaborates closely to deliver high-performance, power-efficient chips, optimizing power, performance, and area (PPA) while accelerating time-to-market. You'll work alongside experts in architecture, circuit design, layout, and system integration, fostering innovation and excellence in every project.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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This is an internal platform role with highly technical customers (ML engineers, backend engineers, data scientists). You will partner closely with engineering leaders to define the paved road for instrumenting, monitoring, and operating AI workloads end-to-end.

Responsibilities

• Own the product roadmap for Spotify's AI observability capabilities across instrumentation, data contracts, and debugging workflows.
• Collaborate with stakeholders to develop the roadmap for Spotify's AI/Agentic evaluation capabilities via LLM-as-judges and other approaches.
• Build golden path instrumentation defaults (SDKs/libraries/templates) that make LLM workloads observable by default.
• Partner with engineering to deliver root-cause workflows across LLM chains/agents (what changed, where time/cost is spent, which step fails, which prompt/template/model version regressed).
• Drive adoption with internal teams through discovery, pilots, documentation, and ongoing enablement.
• Define and track success metrics (coverage, time-to-first-trace, regressions caught pre-prod, MTTR, cost anomalies detected early).
• Partner with Privacy/Security to establish safe logging and retention guidance that supports both compliance and debuggability.

Requirements

• 2+ years of experience as a Product Manager, Technical Product Manager, or equivalent product ownership role.
• Familiar with ML and AI development flows, and comfortable reasoning about LLM application patterns (prompting, RAG/agents, evaluation basics).
• Aware of LLM evaluation approaches (golden datasets, regression testing, human-in-the-loop review, LLM-as-a-judge).
• Comfortable partnering with engineers on technical tradeoffs and system design, even if you are not writing production code.
• Strong product fundamentals: discovery, prioritization, roadmap communication, and stakeholder alignment.
• Metrics-oriented and pragmatic; you can define outcomes and iterate based on evidence.

Benefits

• Competitive salary range: 98,155 - 140,222 CAD plus equity.
• Flexible work arrangement with some in-person meetings.

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Responsibilities

• Establish and lead the AI Quality program from inception, defining business-aligned quality standards, user experience and target outcome metrics across AI-powered self-service capabilities.
• Accountable for ongoing quality performance across fan-facing AI experiences, ensuring measurable improvements in accuracy, containment, risk mitigation, and fan-perceived effort and satisfaction.
• Define and enforce AI launch readiness criteria, working with partner teams on launch criteria, validating risk scenarios, and certifying capabilities before release.
• Lead post-launch AI agent governance, including performance monitoring, compliance with security and privacy standards and policies, and continuous quality improvement cycles tied to measurable outcomes.
• Partner with implementation and stakeholder teams to provide input on product direction to prevent downstream quality risks.
• Evaluate cost-to-quality tradeoffs in containment strategies, ensuring impacts of optimizations are evaluated and tracked.

Required Qualifications

• 5+ years of program management experience in a related industry, with direct responsibility for quality programs or AI/ML-powered products.
• Experience defining and operationalizing measurable AI quality KPIs for large-scale, production environments.
• Experience influencing launch decisions and enforcing governance standards with technical and business partners.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Benefits

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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$170K – $215K • 0.01% – 0.2%

Head of Agent Ops

You'll own the internal AI infrastructure that makes our team unreasonably fast. That means building, evaluating vendors, and continuously evolving the AI systems our team runs on — with the goal of maximizing every person's clock speed and scaling our ability to deploy agents across the business.

Salary Range:

$170,000–$215,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country’s cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)

Equity Range:

Up to 0.20%

Location:

San Francisco, CA (Hybrid); Truly exceptional remote considered.

Job Type:

Full-Time (SF)

Experience:

5+ years or equivalent shipped systems

Visa:

US Citizenship/Visa required for SF

About Firecrawl

Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.

What We're Looking For

A technical practitioner, not a theorist.

You understand how models actually work — not just API calls, but attention, context windows, inference tradeoffs, tool use patterns. You read papers. But your first instinct is always to build, not to theorize. You've shipped real systems that automate real work.

Someone with battle-tested opinions on AI-assisted development.

You've pushed vibe coding techniques far enough to know where they break. You have strong, experience-driven opinions about what works and what doesn't — grounded in first principles, not hype. You know when to let the model drive and when to take the wheel.

An automation obsessive.

You've already automated your own life to a degree that others find somewhat unhinged. You see manual processes the way most people see bugs — something that shouldn't exist and won't for long.

Someone who understands the bitter lesson.

You know where the highest-leverage opportunities are because you understand which problems get solved by scale and which don't. You allocate your energy accordingly.

$10k+/month token budget

(will increase with demonstrated impact).

What We're NOT Looking For

AI skeptics.

If you think superintelligence is hundreds of years away, this isn't your role.

Comfort optimizers.

We're looking for people who seek discomfort and aim to make a difference — not optimize for comfy vibes.

Status chasers.

If you're here because AI is in the news, you're not a fit. If you believe we're at a once-in-a-species inflection point and you want to shape the wave, not just ride it — this is the place for you.

A Note On Pace

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.

Benefits & Perks

Available to all employees

• Salary that makes sense — $170,000–215,000/year (SF, U.S.-based), based on impact, not tenure

• Own a piece — Up to 0.20% equity in what you're helping build

• Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

• Parental leave — 12 weeks fully paid, for moms and dads

• Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human

• Learning & Development \- Expense up to $1000/year toward anything that helps you grow professionally

• Team offsites — A change of scenery, minus the trust falls

• Sabbatical— 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

• Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works

• Life & Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs

• Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind

• Doctegrity telehealth — Talk to a doctor from your couch

• 401(k) plan — Retirement might be a ways off, but future-you will thank you

• Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

• Pet insurance — Because fur babies are family too

Available to SF-based employees

• SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy

• E-Bike transportation — A loaner electric bike to get you around the city, on us

Interview Process

• Application Review – Send us your stuff + a quick note on why this excites you (plus links to things you’ve built).

• Intro Chat (~20–25 min) – Quick alignment call focused on what you’ve shipped, how you think about agents vs workflows, and what you’d automate first at Firecrawl.

• Async Systems Design (60–90 min) – A short, structured design exercise: propose a v1 agent/workflow to eliminate a real internal bottleneck. We’re looking for taste, guardrails, eval/monitoring, and a rollout plan — not a big build.

• Founder Chat (~30 min) – Culture, pace, ownership, and how you like to work. Time for your questions too.

• Paid Work Trial (1–2 weeks) – Test drive the real thing: ship something real, get feedback, and iterate.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

At Anthropic, we are building some of the most complex and large-scale AI infrastructure in the world. As that infrastructure scales rapidly, so does the imperative to optimise how we use it. As a Software Engineer for Compute Efficiency on the Capacity team, you will play a central role in making our systems more performant, cost-effective, and sustainable—without compromising reliability or latency.

You will work across the full infrastructure stack, from cloud platforms and networking to application-level performance, and will bridge the gap between high-level research needs and low-level hardware constraints to build the most efficient AI infrastructure in the world. You will help with building the telemetry, cost attribution, and optimisation frameworks that ensure every dollar of our infrastructure investment delivers maximum value. This is a high-impact, cross-functional role at the intersection of systems engineering, financial optimisation, and AI infrastructure.

Responsibilities

• Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilisation, and costs across our cloud and datacentre fleets.

• Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimise their resource consumption.

• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.

• Partner closely with cloud service providers and internal stakeholders to optimise cluster configurations, workload placement, and resource utilisation across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.

• Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.

• Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

• Drive architectural improvements and code-level optimisations across multiple services and platforms to deliver measurable utilisation and performance gains.

You may be a good fit if you:

• Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software engineer or tech lead

• Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement.

• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)

• Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP.

• Experience optimising end-to-end performance of distributed systems, including workload right-sizing and resource utilisation tuning.

• You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues

• Experience designing or working with performance and utilisation monitoring tools in large-scale, distributed environments.

• Strong problem-solving skills with the ability to work independently and navigate ambiguity.

• Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward.

Strong candidates may have:

• Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL.

• Low level systems experience, for example linux kernel tuning and eBPF

• Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

• Published work in performance optimisation and scaling distributed systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic

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Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $415K

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

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Monetization Product Marketer, Advertising to help shape and scale our advertising products and go-to-market strategy. You’ll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment.

In this role you will:

• Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics

• Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering

• Partner with Design, Data Science, and Analytics to define success metrics, measurement strategy, and experimentation plans

• Identify product risk areas (e.g., performance, safety, policy, trust) and drive cross-functional plans to mitigate them

• Own launch strategy and execution for new and improved advertising products, including messaging, enablement, and rollouts

• Build narratives and materials that explain value simply (e.g., positioning, sales decks, one-pagers, FAQs, internal comms)

• Lead the go-to-market strategy and coordination to drive product adoptions and sales in coordination with Sales, Partnerships and Product (Including client communications, product documentation, and positioning)

• Coordinate across stakeholders to keep workstreams aligned, remove blockers, and deliver outcomes on time

• Continuously evaluate and improve existing experiences to drive retention, performance, and advertiser satisfaction

You might be a great fit if you…

• Have strong structured problem solving skills - taking ambiguous problems, breaking them down into answerable parts and then designing and managing a process to answer these questions and driving implementation

• Can connect advertiser needs to product strategy, and influence prioritization across Product/Engineering/Design

• Understand the advertising ecosystem: measurement, targeting/relevance, creative, auctions, and performance tradeoffs

• Have experience marketing products—especially advertising, marketing tech, platforms, or data/AI products

• Communicate clearly and persuasively—turning technical concepts into crisp customer value and differentiated positioning

• Are fluent in both qualitative and quantitative research (customer interviews, surveys, funnel analysis, experimentation)

• Thrive in fast-paced, ambiguous environments and can manage multiple concurrent projects with strong judgment

• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority

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 artificial intelligence while also ensuring that AI is developed in a way that is safe and beneficial to society.

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Simulation Realism Engineer

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $293K – $385K • 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

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the Role

We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions — from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands-on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines).

This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Define and operationalize realism metrics & protocols. Design experiments and automated tests to find specific areas of non-realism, quantify gaps, and track regressions over time.

• Fine-tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality.

• Evaluate, integrate, and — where necessary — extend 3rd-party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps.

• Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi- or fully-automated pipelines to tune and optimize assets for target engines.

• Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real-world-facing pipelines so sims can run reliably at scale.

• Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance.

• Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly.

You might thrive in this role if you:

• Have a strong mathematical & physics background — rigid/soft-body dynamics, contact mechanics, or FEA — and are comfortable reasoning about solvers and numerical stability.

• Have hands-on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes.

• Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real-time loading, and rendering pipelines.

• Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware-in-the-loop regression tests, or digital twin efforts.

• Experienced building robust tools and processes — CI for sims, asset validation pipelines, or distributed GPU workloads — and care about documentation and ergonomics that let others be productive.

• Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps.

About OpenAI

OpenAI is a technology company focused on developing and applying artificial intelligence (AI) to various domains, including robotics and simulation. Our mission is to ensure that AI benefits humanity, and we are committed to advancing the state of the art in AI research and development.

How to Apply

If you are a motivated and talented individual who is passionate about simulation and robotics, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. We look forward to reviewing your application and discussing this opportunity further.

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About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organisations to help them turn cutting-edge AI capabilities into everyday impact. We specialise in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimisation, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesise themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences.

• Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, and key tradeoffs.

• Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time.

• Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you’re missing to make both your team and our customers succeed.

• Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum.

• Are personally committed to fostering the safe and ethical evolution of AI.

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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About the Team

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.

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 realization

• 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 realization 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 optimizing 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 or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, 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 on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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About the Team

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.

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 realization

• 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 realization 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 optimizing 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 or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, 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 on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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Location

London, UK

Employment Type

Full time

Department

About the Role

At OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building the technical foundations that help enterprises move from experimentation to real-world, production-grade use of our platform and coding products.

The Lead, Technical ADM is a foundational role in that effort. You will shape how OpenAI’s deep technical expertise is delivered to builders and coders — moving us from high-touch, scarce delivery to a scalable, repeatable technical training motion that drives real customer outcomes.

The Technical ADM function translates OpenAI’s platform capabilities into practical, high-quality technical training that helps customers design, build, and deploy real systems. This role sits at the intersection of technical depth, education, and scale. You will lead by doing first — delivering high-impact technical trainings yourself — and then build the team, standards, and operating model that allow this work to scale without sacrificing rigor.

This is a founding leadership role with meaningful visibility and a clear growth path as impact is demonstrated.

Responsibilities

Build and scale OpenAI’s technical training motion

Design and own the technical services menu for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.

• Deliver high-impact technical trainings yourself (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).

Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.

Own outcomes and impact

• Be accountable for technical training outcomes, including:

• Production use cases launched

• Token consumption and platform usage for educated customers

• Throughput and reuse of technical training

• Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.

Build the Technical ADM function

• Hire, develop, and lead our first cohort of technical ADMs

• Establish standards for technical depth, delivery quality, and excellence in training.

• Create the operating model that enables the function to scale sustainably as demand grows.

• Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.

Partner across OpenAI

• Deliver technical trainings on behalf of — and in close partnership with — SAs and ASEs.

• Build strong working relationships with Product, Engineering, and Developer teams to ensure technical training remains current, credible, and aligned with the platform roadmap.

Ideal Background and Experience

• Deep technical fluency with APIs and modern software development workflows.

• Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.

• Demonstrated ability to do the work first and then scale it through others.

• Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.

• Early leadership experience or strong interest in growing as a people manager.

• Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.

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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About the Team

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.

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.

This role can be based in Delhi, Mumbai, or Bengaluru.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• 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 realization 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 optimizing 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 behavior, limitations, technical tradeoffs, 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 on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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Trust & Safety Operations Analyst, Ads

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $189K – $280K • 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

At OpenAI, our User Safety & Risk Operations team is responsible for safeguarding our platform and users from abuse, fraud, and emerging threats. We operate at the intersection of product risk, operational scale, and real-time safety response—supporting users ranging from individuals to global enterprises, as well as advertisers and creators.

The Ads Trust & Safety Operations team protects our users, advertisers, and creators across all monetized surfaces. As OpenAI introduces new revenue-generating formats and partnerships, this team ensures these experiences remain safe, compliant, high-quality, and aligned with our broader safety standards. We partner closely with Product, Engineering, Policy, and Legal to identify emerging risks, build and mature enforcement systems, and ensure scalable, high-integrity operations.

About the Role

We’re looking for a senior operator to help build and scale Ads Trust & Safety Operations at OpenAI. In this role, you’ll drive critical Ads T&S workstreams end-to-end, partnering closely with Product, Policy, Engineering, Legal, and Operations to design scalable enforcement processes, strengthen detection and tooling, and ensure we’re prepared to support Ads and monetization safely at scale.

You’ll operate at the intersection of strategy and execution—translating ambiguity into structured programs, identifying operational risks, and driving measurable improvements across systems and workflows.

This role requires someone who is highly operational, excellent at execution, and comfortable driving clarity amid ambiguity. You should be eager to build scalable systems and processes from the ground up and work in lockstep with policy and product teams as we rapidly iterate on advertising strategies and features.

In this role, you will:

• Own complex, high-impact Ads Trust & Safety problem areas from strategy through execution.

• Design and scale operational workflows for Ads Trust & Safety, including enforcement models, review processes, escalation paths, and quality frameworks.

• Partner closely with Product, Policy, and Engineering to translate risk and policy requirements into scalable systems, tooling, and automation.

• Drive operational readiness for new Ads and monetization launches, features, and markets, identifying risks early and ensuring appropriate mitigations are in place.

• Use data to identify trends, gaps, and emerging risks across Ads surfaces; develop proposals and solutions grounded in metrics and operational signals.

• Contribute to the evolution of Ads Trust & Safety cross-functional strategy, including how safety scales with automation, classifiers, and self-service tooling.

• Act as a senior XFN partner and subject-matter expert, influencing direction through strong judgment, clear communication, and credibility.

You might thrive in this role if you have:

• 5+ years of experience in Trust & Safety, Business Integrity, Fraud & Abuse, Risk Operations, or a closely related domain.

• Deep familiarity with ads ecosystems and advertiser risk

• Proven ability to independently own ambiguous, cross-functional initiatives and drive them to completion.

• Strong operational judgment and systems thinking—able to design solutions that scale beyond manual review.

• Experience working closely with Product, Policy, and Engineering teams on enforcement systems, tooling, or automation.

• Comfort using data and operational metrics to inform decisions, prioritize work, and measure impact.

• Excellent written and verbal communication skills, including the ability to explain complex risk tradeoffs to diverse audiences.

• Experience designing or partnering on automated enforcement, classifiers, or decision-support tools.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits humanity. It was founded in 2015 and has since grown to become a leading player in the AI industry.

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About the Team

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.

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 realization

• 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 realization 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 optimizing 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 behavior, limitations, technical tradeoffs, 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 on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

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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San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $185K – $455K • 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 Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We’re seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You’ll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware.

Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands-on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential.

Location: San Francisco, CA (Hybrid: 3 days/week onsite)

Relocation assistance available.

In this role you will:

• Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding.

• Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions.

• Write emulation kernels for low-precision numerics and lossy compression schemes, and get Research the information they need to trade efficiency with model quality.

• Prototype numerics modules by pushing RTL through synthesis; hand off novel numerics cleanly, or occasionally own an RTL module end-to-end.

• Proactively pull in new ML workloads, prototype them with rooflines and/or functional simulation, and drive initial evaluation of new opportunities or risks.

• Understand the whole picture from ML science to hardware optimization, and slice this end-to-end objective into near-term deliverables.

• Build ad-hoc collaborations across teams with very different goals and areas of expertise, and keep progress unblocked.

• Communicate design tradeoffs clearly with explicit assumptions and confidence levels; produce a trail of evidence that enables confident execution.

You Will Thrive in this Role if:

• An exceptional track record of high-quality technical output, and a bias for shipping a prototype now and iterating later in the absence of clear requirements.

• Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility.

• Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units.

• Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus.

• Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization.

• Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large-scale ML systems.

• Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus.

• Strong cross-functional communication (e.g. across ML researchers and hardware engineers); ability to slice ambiguous early-incubation ideas into concrete arenas in which progress can be made.

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $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.

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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem.

About the Role

As a Senior Software Engineer on the Identity team, you will build and evolve the foundational identity platform that serves all OpenAI users across our products. You’ll lead the design and implementation of core identity systems — including authentication, authorization, access control, and account management — enabling individuals, teams, and businesses to securely manage accounts at scale while keeping the user experience seamless. This role spans our entire product fleet, including ChatGPT, the API, Sora, Codex, and Atlas, and involves close collaboration with product and platform engineers who rely on identity as critical infrastructure. You’ll drive major architectural initiatives, mentor other engineers, and make platform-level decisions where security, correctness, and reliability are paramount.

In this role, you will:

• Architect and build the next generation of Identity at OpenAI – including new use cases such as Agent identity and Sign In With ChatGPT

• Design and build our identity infrastructure for consumer internet scale, while also solving scalability bottlenecks as they arise.

• Build powerful identity primitives, APIs, and internal tooling that enable product teams across OpenAI to integrate seamlessly with the account and access-control layer.

• Collaborate closely with a broad set of stakeholders, including product, design, go-to-market, and other engineers.

You might thrive in this role if you:

• Bring 7+ years of experience building and shipping production systems at product-driven technology companies, with a track record of owning meaningful technical scope.

• Care deeply about reliability, safety, and performance in production environments.

• Have experience or interest in Authentication, Authorization, Federation, and Identity Management.

• Naturally take ownership end-to-end, are comfortable navigating unfamiliar systems, and are eager to learn whatever’s needed to solve hard problems well.

• Thrive in fast-moving environments, bringing structure to ambiguous problems, balancing competing priorities, and making sound tradeoffs as the company and platform evolve.

About OpenAI

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

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What you'll do

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience
• Design and maintain the scripting interface to the Unreal Engine
• Fix bugs and maintain the language code base

What you need

• Proficiency in C++
• Well-versed in software programming principles, especially API design
• Experience developing in a large codebase at a fast pace, making tradeoffs between usability, performance, and power

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What you'll do

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience
• Design and maintain the scripting interface to the Unreal Engine
• Fix bugs and maintain the language code base

What you need

• Proficiency in C++
• Well-versed in software programming principles, especially API design
• Experience developing in a large codebase at a fast pace, making tradeoffs between usability, performance, and power

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