Your key responsibilities will include advising clients on how to solve specific business challenges, identifying client challenges, and devising approaches on how to solve them.

To succeed in this role, you will need to be adaptable, fast-learning, confident, and have worked with executive stakeholders before.

In addition, you will need to have at least 5 years of experience within consulting companies, be able to handle changing requirements and priorities in a dynamic project environment, and understand complex technical discussions.

You will also need to be able to draft minutes, presentations, and management documents accurately in German, and be confident in presenting in (virtual) meetings and workshops in German.

Experience with Kanban, status tracking, escalation management, deadline management, and stakeholder communication is also required.

You will be self-organized and reliable in tracking tasks and open issues, and have fluent German and English skills.

Finally, you will need to be willing to travel.

The role offers a competitive salary and benefits package, including 27 vacation days and unlimited employment contract.

If you are a motivated and experienced professional looking for a new challenge, please apply now!

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We are currently seeking an experienced professional to join our team in the role of Head of PB CLM and Client Reporting.

As a senior technology leader, you will be responsible for overseeing the delivery of technology solutions that enable faster and safer delivery, with clear VSIP delivery priorities, roadmaps, and capacity plans.

Key responsibilities include:

• Ensuring resilient and quality engineering, driving engineering best practices and automation, cloud adoption and optimisation, and service resilience across your domain.
• Empowering delivery teams to be efficient, driving Agile Ways of Operating and managing Technology financials and resources within approved budgets.
• Driving convergence towards FSA and global scalable solutions.
• Focusing on the improvement of customer experience, whilst clarifying and prioritising demand across all markets.

You will partner with the business to define a coherent vision and supporting technology roadmap, aligned to the GPB Future State Architecture in line with business Target Operating models and Enterprise Technology architecture principles.

All aspects of change delivered in S/VS, including adherence to global HSBC principles and frameworks.

Input into S/VS backlog prioritisation and decision making, via transparent communication with key stakeholders including Domain Heads and Market CIOs.

Defining and shaping technology components of the Capabilities, Features and Customer Journeys.

Supporting other GPB domains, by providing a common framework for the delivery of consistent and complementary data and reporting solutions.

Reducing RTB costs through minimising solution variation across Markets, demising legacy solutions and driving alignment to Future State Architecture.

Developing Country Technology delivery roadmap in partnership with Business and ensuring Country demand is clearly articulated and prioritised within global portfolios.

Engineering & Technical Service Management

• Delivery of Technology specific development of new and existing solutions required to enable realisation of OKRs in line with the Technology resilience standards.
• Enabling customisation/configuration of technology solutions to factor technology-specific local market requirements and regulations.
• Ensuring effective service management for GPB CLM & Client Reporting services and incidents, constantly aiming for high levels of customer satisfaction.
• Ensuring adherence to security and compliance standards, including data privacy regulations.

Collaborating with cybersecurity and compliance teams to implement best practices, conduct audits, and mitigate risks.

Leadership & Teamwork

• Managing a globally dispersed Technology team, developing talent and instilling a culture of high-performance and cross-functional collaboration.
• Maintaining strong relationships with Business stakeholders, partnering to deliver world-class solutions within your domains.
• Guiding Technology teams in clarification of needs and possible solution paths, together with Business, Transformation and Flow-to-Work teams.

Knowledge & Experience/Qualifications

• Domain Knowledge – Experience in a global Private Banking technology organisation, a global and multi-divisional setting being a significant advantage.
• Cross-Functional Collaboration – Unifying cross-functional Business and Technology teams to drive and optimise achievement of common objectives and customer outcomes.
• Technology & Resilience – Understanding of relevant platforms, tools, and processes to drive delivery efficiency, resilience, and engineering excellence (e.g. Mode2, TRMF, SonarQube), as well as experience with high availability, high-scale, and performant systems.
• Lean-Agile Practices – Proven experience with Lean-Agile ways of working (DevSecOps, sprints, Jira/Kanban workflows etc.), to increase efficiency and optimise value delivery.
• Financial – VSIP budget and resource allocation, value-based decision making, cost optimisation and business case development.
• Stakeholder Management & Communication Skills – Conveying complex concepts, facilitating discussions, and driving consensus among stakeholders at all levels, with the ability to balance conflicting and changing demands through prioritisation and a pragmatic approach.

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We are seeking an experienced Engagement Manager to join our team in Tokyo. As an Engagement Manager, you will be responsible for driving customer success by ensuring that our customers are making the most value of our products and services.

Key Responsibilities:

• Collaborate with sales counterparts to understand customer needs and develop valued solutions
• Identify opportunities for new services and articulate the business value
• Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets
• Consult with clients to understand and analyze engagement scope, requirements, time, cost, and benefits
• Drive resolution of delivery challenges, address resource contentions, scoping issues, and manage expectations

Requirements:

• Strong fundamental knowledge around Big Data Platforms Implementation from both the technology, operations, and security/governance lenses
• Proven experience in selling services offerings at either implementation, advisory, education, and change management capacity
• Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding, and execution to both business and technology audiences
• Consistent track record of identifying customer needs and successfully implementing solutions
• Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology
• Strong problem-solving skill about customer's pain points by using modern technologies
• Excellence in presentation skills, providing proposals that enforce good project governance and drive scalable delivery practices to both internal and external executives
• High-level orchestration skills to align both internal and external stakeholders when proposing large initiatives
• Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes

Preferred Qualifications:

• Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor
• Bachelor's degree in Computer Science or related educational background

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees

Commitment to Diversity and Inclusion:

• Databricks is committed to fostering a diverse and inclusive culture where everyone can excel

Compliance:

• Access to export-controlled technology or source code is required for performance of job duties, and it is within Employer's discretion whether to apply for a U.S. government license for such positions

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About the Role: The Claude Agentic Solutions team is Anthropic's forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.

You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.

Responsibilities:

Tech Leadership

• Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.
• Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.
• Develop your team's vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.
• Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.
• Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.
• Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.

Use Case Library & Reusable Patterns

• Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.
• Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.
• Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.
• Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.

Commercial Leadership

• Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.
• Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.
• Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.
• Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.

Requirements:

• 8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.
• Comfort operating in ambiguity and building processes where none exists , you've worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.
• Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.
• A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.
• Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.
• Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.
• Experience navigating regulated industry environments.
• Executive presence and communication skills: you can present to a board or run a difficult conversation.

Annual Compensation Range:

£255,000-£325,000 GBP

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Join the BizTech team at Airbnb and contribute to fostering culture and connection at the company by providing reliable corporate tools, innovative products, and technical support for all teams.

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence.

Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.

Key Responsibilities:

• Lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.

• Stay on top of tasks, engagements, and team interactions,active collaboration is key to success.

• Work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.

• Dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.

• Participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.

Requirements:

• 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.

• Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.

• Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.

• Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.

• Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.

• Proficient in Python or Go.

• Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).

Preferred Qualifications:

• Experience with cloud-based infrastructure and services.

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab).

• Experience with agile development methodologies and frameworks (e.g., Scrum, Kanban).

• Strong communication and interpersonal skills.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Salary: $212,000-$265,000 USD per year.

Benefits: Bonus, equity, benefits, and Employee Travel Credits.

Workplace Type: Remote eligible.

Experience Level: Senior.

Employment Type: Full-time.

Category: Engineering.

Industry: Technology.

Required Skills: AIOps, data catalog architecture, product development, Technical Operations infrastructure, SDLC, infrastructure as code, configuration management, distributed version control, CI/CD, cloud (AWS and/or Google), AI/automation, data catalog architecture, workflows, and correlation.

Preferred Skills: Cloud-based infrastructure and services, containerization and orchestration tools (e.g., Docker, Kubernetes), DevOps practices and tools (e.g., Jenkins, GitLab), agile development methodologies and frameworks (e.g., Scrum, Kanban), strong communication and interpersonal skills, ability to work in a fast-paced environment and adapt to changing priorities.

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A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.

As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

This role is based either in London or Paris (or within easy commuting distance of these cities). The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range shown below is annualized, is subject to change, and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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We're looking for a Staff iOS Engineer to lead how we design, build, and ship mobile applications at Headway. This role will help establish Headway's approach to mobile engineering by defining architecture, development, testing, and release best practices. At the same time, it will directly own and deliver our first ever patient-facing mobile app, launching first on iOS.

Responsibilities

• Write production code, set up tooling and processes, and partner closely with engineering, product, design, and data leaders to build a best-in-class mobile app.
• Play a key role in building out the mobile team.

Requirements

• Real-world experience building iOS applications and defining release and testing processes.
• Not overly dogmatic about technology choices: want to move quickly and use the best tool for the job, defaulting to Swift and SwiftUI but leveraging webviews and other approaches when needed.
• Care deeply about craft and usability, and obsess about end users.
• Current or past experience with full-stack web development, and don't shy away from working across other parts of the stack when needed.
• Willing to flex into new technical and non-technical areas as projects require.

Nice to Have

• Driven technical vision and strategy at the organizational level through technical design documents, reviews, and participation in planning cycles.
• Led major technical initiatives that required coordination across multiple teams and stakeholders.
• Regularly mentor senior engineers and technical leaders and help set technical direction through influence rather than authority.

What We Offer

• Expected base pay range: $224,000 - $280,000, based on a variety of factors including qualifications, experience, and geographic location.
• Comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.
• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

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Your responsibilities will include ensuring clear program planning, transparent progress tracking, risk mitigation, team process improvement, and efficient delivery.

As a Senior TPM, you will oversee the product development lifecycle end-to-end, creating clear and helpful plans throughout product discovery and delivery. You will break down silos and bridge communication gaps across teams and disciplines, driving discovery momentum from ideation to defined scope and requirements.

You will track goal and project statuses and report updates to project stakeholders. You will also partner with leadership to build and maintain roadmaps, lead planning meetings, and implement efficient communication and practices.

Requirements include 6+ years of experience in a technical program manager position, working on product and engineering-driven projects through all phases of the software development lifecycle. You should have experience working collaboratively across organisations, influencing without direct authority.

You should be able to partner with leadership to build and maintain roadmaps, lead planning meetings, and implement efficient communication and practices. Agile background and experience implementing scrum/kanban best practices and facilitating team-level process improvement are required.

You should have a working knowledge of the Atlassian suite and Google Workspace. You should also be able to thoroughly follow through, chase down, and close out open questions and tasks, while creating a collaborative and healthy culture.

Prior experience working on high-priority strategic business initiatives in a fast-paced product development environment is desired.

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LOCATION: San Francisco, CA | New York City, NY | Seattle, WA

DEPARTMENT: Technical Program Management

JOB DESCRIPTION:

As a Technical Program Manager at Anthropic, you will play a critical role in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams.

Responsibilities:

• Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases

• Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners

• Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers

• Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs

• Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans

• Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues

• Establish processes and frameworks for scaling product development and improving engineering excellence

• Drive launch readiness across teams, ensuring predictable and well-communicated releases

Requirements:

• Several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs

• Experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers

• Experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously

• Highly organized and able to manage multiple parallel workstreams effectively across distributed teams

• Excellent written and verbal communication skills, with the ability to influence without authority

Benefits:

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

If you're interested in this role, please submit an application. We encourage you to apply even if you don't believe you meet every single qualification.

Note: The salary range for this role is $290,000-$365,000 USD per year.

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As a Senior Staff Engineer, you will serve as the connective tissue across Compliance's multi-year strategic initiatives, defining how components fit together, identifying where capabilities can be shared rather than duplicated, and ensuring we leverage platform investments from partner teams.

Your decisions will directly affect how Airbnb meets obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening while minimizing operational cost and customer friction.

This role extends well beyond the Compliance organization itself. You will partner directly with cross-organizational engineering teams, as well as cross-functional stakeholders across Product, Content, Legal, and Design.

The technical choices you make carry direct financial and legal exposure , requiring the judgment, depth of expertise, and organizational credibility to drive high-stakes design tradeoffs across team boundaries.

Key responsibilities include:

• Owning the end-to-end system design vision for the Compliance organization, setting the architectural direction for an engineering organization of nearly 30 engineers across multiple teams.
• Driving foundational architectural shifts, including the move from an account-centric model to a customer-centric one , rethinking how we model identity, risk, and enforcement across the platform.
• Leading the technical strategy for expanding KYC capabilities , supporting small and medium businesses, reimagining business onboarding and account structures, enabling KYC through third-party APIs, and extending verification to third-party payees.
• Architecting systems that adapt to the evolving digital identity landscape , including new verification standards, government-issued digital credentials, and shifting privacy regulations , without requiring costly re-platforming.
• Ensuring our technical foundations are flexible enough to absorb unforeseen regulatory mandates with aggressive timelines, without destabilizing existing systems or requiring disproportionate engineering investment.
• Partnering with technical leaders across multiple organizations to drive alignment on shared capabilities and cohesive system design, reducing duplication and compounding technical debt.
• Working closely with Product, Design, Policy, Legal, Operations, and other cross-functional partners as part of a globally distributed team to define and ship impactful features.

Requirements include:

• 15+ years of technical experience, with 10+ years of relevant industry experience in a fast-paced tech environment.
• Prior knowledge of Regulatory Compliance standards (AML, KYC, sanctions screening) and demonstrated experience designing and implementing those controls at scale.
• Proven track record of setting technical direction and architectural strategy for a large engineering organization, with the ability to drive alignment across organizational boundaries.
• Experience designing systems that span multiple teams and domains, with a focus on cohesion, reusability, and long-term maintainability over initiative-by-initiative solutions.
• Excellent communication skills and the ability to influence senior technical and non-technical stakeholders across the company.
• Strong problem solver with deep experience operating and leading on-call for production systems at scale.
• Technical leadership: hands-on experience leading large project teams, making high-stakes design tradeoffs, and translating regulatory requirements into scalable system architectures.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
• Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)
• Deep understanding of architectural patterns of high-scale web and data applications.
• Be future looking , we might be focused on immediate regulations, but need to build for the long term. You think in terms of platforms, not projects.
• End-to-end ownership mentality that transcends team boundaries, with the credibility and judgment to make decisions that carry direct financial and legal implications.

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Your day-to-day will blend hands-on engineering (writing code, building integrations, tuning controls) with architecture and program ownership (setting standards, defining patterns, and driving adoption across teams). You will be responsible for turning high-level objectives,like “implement zero trust for workforce access” or “deploy phishing-resistant MFA at scale”,into concrete designs, automation, and measurable risk reduction.

In this role, you will:

• Engineer modern identity and access controls
• Design, implement, and operate workforce identity solutions (e.g., Okta/Entra and other IdPs) including SSO, MFA, conditional access, and lifecycle automation via SCIM.
• Develop and roll out phishing-resistant MFA for high-value accounts and critical access paths (e.g., FIDO2/WebAuthn, hardware keys, device-bound authenticators).
• Define and maintain RBAC/IAM patterns for enterprise applications (role models, groups, entitlements, JIT access, and approvals).

• Implement zero trust for workforce and enterprise access
• Design and deploy controls that combine user identity, device posture, network context, and application sensitivity to enforce least-privilege access.
• Partner with Network and Infrastructure teams to integrate mTLS, service identity, and policy-based access into internal services and admin interfaces.
• Help transition from legacy perimeter models to zero trust network access (ZTNA) patterns for employees, contractors, and third parties.

• Secure SaaS and collaboration platforms
• Evaluate, onboard, and harden SaaS applications (Google Workspace, Microsoft 365, Slack, HRIS, ticketing, and other business apps) to align with enterprise security policies.
• Implement and tune controls such as SCIM provisioning, data access policies, DLP, sharing controls, and audit logging across the SaaS estate.
• Partner with business and IT owners to ensure new SaaS applications meet baseline security standards before adoption.

• Harden endpoints and the extended workforce
• Collaborate with Endpoint/IT teams to define and enforce baseline configurations for laptops, workstations, and other managed devices via MDM and EDR.
• Design secure patterns for contractor and vendor access, including device requirements, identity separation, and time-bound access.
• Support investigations and incident response related to identity, endpoint, and SaaS domains.

• Automate and instrument everything you can
• Build automation and self-service experiences for access requests, approvals, access reviews, and break-glass workflows.
• Develop integrations between IdPs, HRIS, ticketing, and other systems to minimize manual toil and reduce identity-related error rates.
• Define and instrument metrics for enterprise security (e.g., MFA coverage, zero trust policy enforcement, joiner/mover/leaver SLA adherence, SaaS posture).

• Partner on detection, response, and governance
• Work with Security Operations and SIEM teams to ensure robust visibility into identity, device, and SaaS activity, and to build high-signal detections.
• Contribute to policies, standards, and reference architectures that encode enterprise security expectations.
• Author clear documentation and runbooks that make it easy for teams to consume and operate the controls you build.

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The difference you will make: This Staff Experience Designer will be focused on innovation, both near-term and long-term. The focus of this team will be on new product areas, launches, strategic initiatives and partnerships and creative vision. You will oversee multiple initiatives from insight to strategy, to launch across all platforms and devices that advances our mission of connection and belonging.

A typical day:

• Support and shape the evolution of the Airbnb platform from a design perspective; ensure consistency with, and contribute to, our brand architecture and product architecture.
• Partner with Product Managers, Engineers, Data Scientist, Researchers and Writers to define problems & goals, map user flows, prototype interactions, and launch new products and services.
• Influence leadership decision making through a clear point of view and define and solve highly complex problems autonomously.
• Provide indirect leadership and mentorship for a team of designers through the end-to-end interaction and visual design of products and services for a global audience.
• Anticipate business challenges and independently create product solutions.

Your expertise:

• Bachelor's degree or equivalent combination of education and progressive experience
• Designer/Design Leader with 10+ years of experience.
• Excellent visual and interaction skills and craft.
• Defines the design direction and process and can lead others through it.
• Can accurately scope their work as well as their teammate's.
• Can effortlessly motivate and drive small to medium teams to transform a product.
• Demonstrated ability to help a team navigate ambiguity, set vision, and set strategy for global products.
• Systems-thinker with the ability to think beyond the pixels and design for offline experiences.
• Experience with making complex information, tools, and services easily digestible for your audience.
• Strong storytelling, presentation, communication and stakeholder management skills.
• Experience designing platforms and systems.
• Experience managing and collaborating with research and writing disciplines.
• 0 to 1 experience or experience redesigning major elements of product, experience or service design.

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You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership.

You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters , but your primary impact will come from the people you hire, the standards you set, and the culture you create.

You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.

This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic , there is no existing playbook to follow.

Responsibilities:

• Hire, develop, and retain a world-class team of Forward Deployed Engineers.
• Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member.
• Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
• Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
• Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
• Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
• Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
• Define team OKRs that tie to customer success outcomes and product adoption goals.
• Create operational cadences , standups, retros, engagement reviews , that keep the team aligned.
• Partner with Product and Engineering to translate field insights into product improvements.
• Serve as the voice of the customer in internal planning.
• Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.

You May Be a Good Fit If You Have:

• 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
• 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
• Experience building organizations from 0->1, not just inheriting an existing one.
• Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
• Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
• Strong written and verbal communication skills.
• Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.

Why This Role Matters:

You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation , all while advancing the responsible development of frontier AI systems.

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The ideal candidate combines deep technical expertise with strong systems thinking, security awareness, and disciplined delivery execution.

Key responsibilities include: Design, build, test, deploy, and maintain scalable solutions within Workday Financials Support core Financial modules and Accounting Center configuration and integrations Translate complex Finance and Accounting requirements into robust technical solutions Develop and support integrations using Workday Studio, EIB, and Workday APIs Build and maintain reports including Standard, Advanced, Composite, and BIRT Design and maintain Workday Orchestrate for Integrations (O4I) workflows Partner with enterprise integration teams to ensure alignment with middleware, ERP, CRM, and analytics platforms Ensure integrations and solutions align with enterprise architecture standards Adhere to structured change management and release governance processes Maintain clear documentation, traceability, and system integrity across environments Implement secure integration patterns and enforce strong data governance practices Operate within environments requiring controlled data handling and compliance rigor Support audit readiness, segregation of duties, and internal control frameworks Evaluate opportunities to leverage Workday Extend applications using IntelliJ or App Builder Continuously improve system performance, reliability, and scalability Identify technical debt and recommend modernization opportunities

Qualifications include: 5+ years of software development experience in Workday 5+ years of experience designing, building, testing, deploying, and maintaining Workday solutions using Workday Studio, EIB, and Reporting (Standard, Advanced, Composite, BIRT) 4+ years of experience working with Workday Financials applications Experience with Accounting Center preferred 3+ years of experience designing, building, testing, implementing, and maintaining Workday Orchestrate for Integrations (O4I) preferred Experience with Workday Extend applications using IntelliJ or App Builder is a plus Workday Studio Certification preferred Experience operating in regulated or compliance-focused environments preferred Familiarity with secure integration design, data governance principles, and enterprise control frameworks preferred Bachelor’s degree in Computer Science or related discipline, or equivalent work experience

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This is not a status-meeting role. This is a technical, hands-on TPM who understands systems well enough to unblock work directly , whether that's in Linear, Salesforce, data workflows, or coordination across Product, Engineering, Data, and Revenue.

In this role, you will report to the Head of Platforms & Infrastructure and play a critical role in protecting execution focus so specialized technical roles can operate at full effectiveness.

Some things you'll do on the job:

• Own delivery sequencing and execution momentum across Revenue Technology initiatives
• Translate ambiguous goals into clear scopes, milestones, and dependency maps
• Actively manage work in Linear and related tools, ensuring priorities are visible and intentional
• Identify when work is blocked, drifting, over-scoped, or colliding , and intervene early
• Partner closely with Solution Architecture, Data Strategy, Engineering, and Systems & Workflow Experience
• Perform light hands-on technical work (configuration, stopgaps, tooling hygiene) to unblock progress
• Absorb coordination load across Product, Engineering, Data Engineering, Data Science, Revenue, and vendors
• Drive planning cycles anchored to Cosmic Objectives, not ad-hoc urgency
• Make tradeoffs explicit and documented so teams can move without re-litigating decisions

You should have:

• 5+ years experience as a Technical Program Manager, Technical PM, or equivalent role in a SaaS or fintech environment
• Demonstrated ability to drive delivery across multi-team, cross-functional initiatives (Product, Engineering, Data, Revenue, vendors)
• Strong technical fluency , able to reason about systems, data flows, integrations, and platform constraints
• Hands-on experience managing work in tools like Linear, Jira, or similar, with a bias toward clarity and momentum
• Proven ability to surface dependencies, sequence work, and intervene when execution is blocked or drifting
• Excellent written and verbal communication skills, especially in ambiguous environments
• Comfort performing light hands-on technical work (tool configuration, workflow setup, stopgap solutions)

Preferred Qualifications:

• Experience supporting GTM, revenue, or customer lifecycle platforms
• Familiarity with Salesforce, data platforms, or revenue tooling ecosystems
• Experience operating within Agile / Kanban systems , with judgment about when to adapt them
• Background working closely with architecture or platform engineering teams

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $131,000 - 148,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $118,000 - $133,200
• Canadian employees (any location): CAD $124,300 - $139,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

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You will own the product experience for accountants, controllers, and finance teams who use Jeeves to manage corporate spend across 20+ countries. This requires deep knowledge of accounting principles (GAAP/IFRS), how finance organizations operate, multi-jurisdiction compliance requirements, and the financial workflows that matter most to our customers.

You will combine accounting expertise with product management craft,using your understanding of how finance teams work to identify high-impact problems, translate complex requirements into elegant product solutions, and leverage AI to transform manual processes into automated workflows that accountants trust.

Because our customers operate across LatAm, the US, and Europe,with diverse organizational structures, cross-border operations, and varying regulatory requirements,we strongly prefer candidates based in Mexico, Colombia, or Brazil who understand these regional nuances.

Location: This role is based out of São Paulo, Brazil, and is a full-time remote position where it is also possible to come into our office at complexo JK Iguatemi on a flexible schedule.

Accounting Domain Expertise:

• Own the accounting user experience end-to-end: Design products that accountants, controllers, and finance teams use daily to manage spend data, maintain financial accuracy, and ensure compliance.
• Deeply understand accounting workflows: How finance teams process transactions, manage data flows, ensure accuracy, and meet regulatory requirements.
• Navigate multi-jurisdiction complexity: Design for customers operating across different countries, each with unique regulatory frameworks, compliance requirements, and business practices.
• Champion data accuracy and audit-ability: Every feature you build must maintain proper audit trails, ensure data integrity, and support compliance requirements.

AI-Powered Automation:

• Identify high-impact automation opportunities: Find where finance teams lose hours to repetitive, manual work, and determine where AI can transform workflows.
• Balance AI capabilities with accounting precision: Understand when AI-powered automation is appropriate vs. when deterministic rules are required.
• Prototype and validate AI solutions: Personally test AI-powered approaches to validate whether they actually work before committing engineering resources.
• Ship AI features that accountants trust: Build transparency into AI decisions, enable easy overrides, and maintain human-in-the-loop workflows where precision matters.

System Integration & Data Architecture:

• Own the integration strategy: Define how Jeeves connects with ERP systems, accounting software, and other platforms that finance teams rely on.
• Design for flexibility and configuration: Build systems that adapt to different customer setups, organizational structures, and business requirements.
• Ensure data integrity end-to-end: Every transaction must reconcile.

Customer Discovery & Requirements Gathering:

• Be the expert on customer needs: Conduct regular interviews with controllers, accountants, finance managers, and CFOs to understand pain points in their current workflows.
• Partner with customer finance teams: Shadow their processes, understand their requirements, and learn the nuances of how they work.
• Convert pain into product vision: Transform qualitative feedback and workflow observations into clear product opportunities.

Data Analysis & Insight Generation:

• Track adoption and impact metrics: Measure how customers use the product, where they struggle, and what drives value.
• Analyze workflow data: Identify patterns in customer behavior, common pain points, and opportunities for improvement.
• Build business cases: Quantify the ROI of product investments,hours saved for customers, error reduction, improved workflows, and business impact.

Strategy & Vision:

• Define the product roadmap: Build a clear point of view on where the market is heading, how customer needs are evolving, and how Jeeves can lead the way.

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Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.

We're looking for a talented Software Engineer to join our team.

As a Software Engineer at Eve, you will:

• Develop Core Software: Build, ship, and maintain features that make up Eve's core product.
• Drive Product Direction: Collaborate with the team to understand user needs, define new features, and decide on implementation strategies.
• Full-Stack Development: Own and scale the user-facing experience of Eve products, turning powerful capabilities into intuitive, magical interfaces. Collaborate with backend, ML, design, and product teams to bring complex features to life in a seamless way.
• AI Integration: Design and build AI-native solutions that power and streamline every aspect of law firm operations, creating tools that transform how legal work gets done.
• Rapid Deployment: Embrace a fast shipping cadence, continuously iterating based on user feedback.
• Work with Customers: You work with customers directly to solve their problems - innovate and iterate.

We're looking for someone with a proven track record of building incredible products and thriving in environments where you're the primary decision-maker for your projects.

You should be comfortable working across the entire stack, from front-end user interfaces to back-end services and AI integrations. You consider your skills split almost evenly across frontend and backend work.

Experience or strong interest in building with AI and a desire to gain more experience creating production applications using AI is a plus.

You value shipping quickly and iterating based on real-world usage, and you enjoy working collaboratively but are also highly effective when working independently.

Benefits:

• Competitive Salary & Equity
• 401(k) Program
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Commuter Benefits
• Autonomous Work Environment
• In-Office Setup Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In-office Perks

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The successful candidate will develop and execute a comprehensive continuous improvement strategy aligned with organisational goals, identify opportunities for improvement across processes, workflows, and systems, and lead Lean Manufacturing projects to eliminate waste, reduce costs, and improve quality.

Key responsibilities include conducting Value Stream Mapping (VSM), Kaizen events, and root cause analyses, establishing Key Performance Indicators (KPIs) to monitor progress and measure the success of improvement initiatives, and preparing and presenting regular reports on process improvement metrics and achievements.

The ideal candidate will have a strong background in manufacturing processes, excellent leadership and interpersonal communication skills, and proficiency in continuous improvement tools (e.g., DMAIC, PDCA, 5S, Kanban).

This is a full-time position requiring a minimum of six years of technical knowledge of manufacturing processes in an automotive supplier work environment.

In addition to a competitive salary, we offer a range of benefits including training and development opportunities, a positive team environment, and the chance to work on challenging projects that make a real impact on our business.

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Your main responsibilities will be:

• Managing and coordinating multiple projects simultaneously
• Identifying and mitigating risks and issues
• Collaborating with cross-functional teams to ensure successful project delivery
• Developing and maintaining project plans, timelines, and budgets

To be successful in this role, you will need excellent written and verbal communication skills, experience managing technology projects end-to-end, and the ability to adapt to changing priorities. You should also be able to work independently and manage ambiguity, and have strong interpersonal skills to solve problems creatively.

In return, we offer a competitive salary, 25 days' holiday, and a range of benefits including private medical insurance, life insurance, and a company pension scheme.

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Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up.

This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success.

We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology.

Responsibilities:

• Build strong relationships at all levels of the client organisation, through pre-sales to implementation
• Understand client vision, challenges and priorities, applying your knowledge of the Engine product
• Work closely with our Product and solution architecture team to iterate the US product roadmap, advocating for the needs and expectations of our US based clients
• Be responsible for the delivery of an area of the solution with a client, representing the client’s needs and priorities in internal decision making and planning
• Coordinate solution delivery with Engineering in line with programme timelines
• Support the programme transition from delivery into Run, sharing your knowledge of the client and setting up the Run team for success

Requirements:

• You have worked in client facing roles, in a consulting role, or at a technology company
• You have experience running workshops or demoing technology with clients
• You have some experience in financial services and technology delivery
• You have experience delivering complex programmes
• You can rapidly understand client problems and present solutions in a structured and informative manner
• You take ownership and know when to seek external support for risks and issues you identify

Benefits:

• Medical, Dental, and Vision insurance plan options
• 401(k) with company match of 100% of the first 4%
• Company-paid Long-Term Disability, and Life and AD&D insurance
• Optional ancillary benefits such as Short-term Disability, Accident Insurance, Legal & ID Protection, and more
• 20 days annual vacation PTO and 11 Paid Holidays

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The ideal candidate will have a strong background in Guidewire, with experience in development, testing, and deployment of system functionality. You will have a solid understanding of software development principles, including design patterns, testing methodologies, and version control systems. You will also have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

In this role, you will have the opportunity to work on a variety of projects, including development, testing, and deployment of system functionality. You will also have the opportunity to contribute to the design and development of new features and functionality, and to collaborate with other teams to ensure successful project delivery.

If you are a motivated and experienced Guidewire Developer II looking for a new challenge, please apply today!

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You will operate at the intersection of customers, Product, Engineering, and QA, bringing clarity to requirements, supporting delivery teams through build and test, and actively helping resolve issues as they arise. You are structured, detail-oriented, and pragmatic, with a strong bias for action and outcomes.

Reporting to the Director of Digital Delivery, you will work closely with Product Owners, Project Managers (internal and external), Designers, Engineering Managers, QA (internal and external), and client stakeholders to enable predictable delivery and high-quality releases.

This role suits someone who thrives in complex environments, is comfortable working across multiple initiatives, and takes pride in bringing clarity to ambiguity.

Key Responsibilities

• Lead requirements discovery through workshops, interviews, and analysis with cinema customers and internal teams
• Produce clear, structured, and testable artefacts including user stories, acceptance criteria, process flows, and functional specifications
• Ensure requirements are complete, prioritised, and ready for development before work is committed
• Act as a bridge between customers, Product, and Engineering to ensure shared understanding and intent
• Support Product Owners with backlog refinement, scope definition, and prioritisation
• Work closely with internal and external QA teams to ensure acceptance criteria are testable and understood
• Support delivery by helping triage bugs, clarify expected behaviour, and problem-solve issues during testing
• Identify gaps, risks, dependencies, and assumptions early and surface them clearly to delivery leadership
• Support customer conversations to validate scope, clarify expectations, and align on outcomes
• Contribute to continuous improvement of BA and delivery practices across the Digital team

What Success Looks Like

• Engineers receive clear, implementation-ready stories with minimal rework
• Customers are confident that requirements reflect their real business needs
• Web and mobile deliveries move forward with momentum, not blockage
• Issues and defects are clarified and resolved quickly during test phases
• Fewer delivery surprises due to clear scope, assumptions, and constraints
• Strong collaboration across Product, Delivery, Engineering, and QA

Requirements

• Proven experience as an intermediate or senior level Business Analyst in digital product or platform delivery, ideally web and mobile
• Demonstrated ability to define clear requirements including user stories and acceptance criteria
• Experience working closely with Product, Engineering, QA, and Delivery teams
• Strong experience working in Agile environments using Scrum and or Kanban
• Strong stakeholder engagement and communication skills
• Comfortable working directly with customers to gather, align, and validate requirements
• Confident supporting delivery through build and test, not just upfront discovery
• Excellent written and verbal communication skills, able to explain complex concepts clearly
• Highly organised, detail-oriented, with a structured, analytical approach, and outcome-focused
• Comfortable working across multiple projects and priorities simultaneously
• Strong working knowledge of Jira and Wrike, with experience using collaboration and modelling tools such as Miro, draw.io, Lucidchart, and Confluence to document and communicate requirements

Benefits

• Rest & Relax Fridays - Finish at lunch time on Friday but get paid for the full day
• Annual volunteer day
• Employee Rewards and Benefits with Perkbox
• Defined Contribution Company Pension Scheme
• Medical Insurance / Medical Aid (after qualifying period)
• Employee Assistance Programme Service
• Paid Sick leave
• 5 days bereavement leave per year
• On-Site Breakfast Bar

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As a Development Manager supporting the Enterprise Data Engineering team, you will play an important role in helping turn complex data initiatives into reliable, high-impact outcomes. Working closely with engineering managers, data engineers, and project and program management peers, you will support the planning, coordination, and delivery of modern data architectures, platforms, pipelines, and products that power analytics and inform both day-to-day and strategic decision-making across our studios and corporate stakeholders.

Project Management:

• Oversee project schedules and execution ensuring timely delivery of milestones.
• Balance scope, timelines, and overall deliverable or project quality.
• Track dependencies, identify and mitigate risks, manage blockers, prioritize tasks, and ensure delivery commitments and project goals are met.
• Ensure timely and effective reporting to leadership and stakeholders, escalating and seeking timely support when necessary.

Team Coordination and Collaboration:

• Collaborate with cross-functional teams and stakeholders, including engineers, product managers, and other project/program managers.
• Conduct regular meetings and Scrum ceremonies, such as sprint planning sessions, recurring stand-ups, and retrospectives to continually align priorities with team delivery efforts.
• Communicate status and progress updates effectively following established processes and channels.
• Support capacity planning, identifying and communicating resource constraints or challenges, and managing change requests to minimize delivery disruptions.
• Identify challenges and propose opportunities to level up processes, engagement, reporting, and communication.

WHAT YOU WILL BRING

• 2+ years of relevant project management experience in a technical or data-driven environment.
• Bachelor’s degree in a relevant field (e.g., business, management, information systems, engineering).
• Demonstrated experience with project management methodologies like Scrum, Agile, Kanban and related tools (JaaS/Jira); Scrum or Agile certification a plus.
• Proven ability to work with cross-functional teams and stakeholders to align on deliverables, timelines, break work into executable tasks, effort sizing, and support conflict resolution when appropriate.
• Strong communicator: comfortable facilitating meetings, leading discussions, coordinating and bridging gaps between teams, talking through solutions and distilling information, and reporting to leadership.

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

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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Responsibilities

Primary Responsibilities

In this position, you will be responsible for:

• Understanding daily warranty claim reports by participating in binning meetings and leading to resolution working with a cross-functional team.
• Understanding Daily End of Line (EOL) & Customer Acceptance Line (CAL) and First Time Through (FTT) inhibitors related to subsystem and driving containment and corrective action.
• Ensuring quality control management updates for subsystem are maintained and adjusted as outcome of External / Internal Indicator. Managing Heat maps for the subsystem to ensure all critical Workstations are identified for improvement opportunities.
• Conducting Control plan audits to ensure frequency, sampling to achieve Process capability on Key Critical Characteristics related to subsystem.
• Owning the Quality and the capability of the manufacturing processes within the Assembly department.
• Applying engineering principles and analytical techniques to drive continuous improvement to manufacturing processes as per the Ford Production System (FPS).
• Leading development of interim and permanent corrective actions to resolve quality issues using 8D methodology and structured problem-solving tools.
• Playing an integral role in the Launch Quality Operating System initiatives & Launch process by establishing and monitoring quality target levels at the workstation level for each build phase to validate workstations readiness.
• Conducting process audits to ensure process adheres to Vehicle Operations guidelines and specific process standards in line with FPS.
• Acting as team leader in resolving assembly related concerns. Leading variability reduction and lean manufacturing initiatives and best practices.
• Supporting ISO 14001 compliance and supporting internal ISO auditing and compliance as required.
• Leading development of solutions for throughput constraints.
• Managing and directing statistical process control activities related to subsystem.
• Reviewing internal/external suppliers for critical characteristic process compatibility.
• Supporting efficiency planning to ensure workstations are properly set up with quality risks identified and addressed.

Qualifications

Education

• Bachelor’s degree in engineering, Technology or related discipline.
• Master’s degree in engineering or related discipline is an asset.

Experience

• Minimum 3 years of manufacturing experience in quality or technology.
• Previous leadership or supervisory experience in a manufacturing environment.
• Demonstrated working knowledge of or experience with:
• 8D and 5Why corrective action and problem-solving
• Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping
• Total Quality Management (TQM) and Kaizen Methods
• Visual Factory Management
• Microsoft Office (Word/Excel/Outlook)
• Experience using error proofing systems
• Failure Mode and Effects Analysis (FMEA), Production Part Approval Process (PPAP), and Design of Experiments (DOE)
• Factory Information System Management
• Quality Leadership System (QLS)
• Based Single Agenda for Quality (BSAQ)
• Web Based Data Management (WBDM
• Global System for Analytics and Reporting (GSAR
• Six Sigma Certification.

Preferred Qualifications

• Models outstanding interpersonal, teambuilding, and communication skills.
• Able to think critically and troubleshoot to deliver industry leading quality
• Highly committed to process improvement and innovative solutions with a customer-first mindset.
• Demonstrates inclusion and values diversity.
• Perseverance and tenacity to drive results.

Benefits

• The expected annual salary range for this position is $74,000.00 - $124,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.
• Successful candidates will be required to provide proof of degree completion for the highest level of education attained. If the degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required.

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We are seeking a GRC Automation Lead to join our GRC organisation and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems.

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalise it, and make it actionable.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments.

Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities:

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.

• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.

• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.

• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.

• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.

• Design and deploy agentic AI workflows that extend team capacity, using Claude to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.

• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.

• Build and lead the GRC Automation function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.

• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.

• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems, not your programming language proficiency.

• Proficiency to write production level code in at least one programming language (e.g., Python, Rust, Go)

• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalise it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.

• Understand APIs and integration patterns conceptually: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation, even if you're not writing the integration code yourself.

• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.

• Have strong analytical and problem-solving skills, with the ability to break down complex problems into manageable parts and develop creative solutions.

• Are able to communicate complex technical ideas to both technical and non-technical stakeholders, with a strong focus on collaboration and teamwork.

• Are passionate about staying up-to-date with industry trends and emerging technologies, with a willingness to learn and adapt to new tools and techniques.

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Product & Solutions Lead, Safety and Security

Location

San Francisco

Employment Type

Full time

Department

Intelligence & Investigations

Compensation

• $288K – $425K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Intelligence & Investigations (I2) team detects and disrupts abuse and strategic risks so people can use AI safely. We translate real-world signals, investigations, and external threat intelligence into practical mitigations, operating guidance, and partner-ready support that improves safety outcomes across the AI ecosystem.

About the Role

As a Product & Solutions Lead focused on safety and security, you will build and operate 0–1 products, services, and technical solution packages that help developers and public institutions move from experimentation to durable, trusted outcomes—while maintaining public safety, transparency, and respect for privacy and rights.

This role balances two modes of delivery:

1. Bespoke products and technical solutions for strategic internal and external partners, and

1. Scalable product and solution packages that can be reused broadly across partners and deployments.

Training is a component of scale, but not the center of gravity. You will also ship reference implementations, playbooks, evaluation kits, and repeatable operating models that partners can adopt and operate.

You will work directly with engineers and a multidisciplinary group of safety and geopolitical analysts, and data and quantitative scientists to convert complex, evolving challenges into solutions that teams can adopt in high-stakes environments.

This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available.

In this role, you will:

• Own the 0–1 roadmap for safety and security solution offerings: define the target users, problem statements, tools, operating models, success metrics, and the set of reusable deliverables we ship.

• Design and ship bespoke technical solutions for priority partners (internal and external), then abstract what works into reusable patterns and toolkits.

• Build partner-ready technical artifacts: solution blueprints, reference architectures, evaluation and monitoring guidance, incident/response playbooks, and deployment checklists.

• Package open-source and proprietary capabilities into adoption-ready solutions (e.g., reference implementations, configuration patterns, validated workflows).

• Maintain a consistent delivery model across engagements: intake, scoping, governance alignment, execution cadence, and retrospectives that improve the offering over time.

• Translate evolving threats into actionable guidance and updates for solution packages (e.g., scams/fraud patterns, cyber-enabled threats, ecosystem abuse trends).

• Develop lightweight enablement components as needed: targeted technical modules, hands-on labs, and readiness assessments that accelerate adoption of the solutions.

• Define and instrument impact measurement: adoption milestones, readiness indicators, reliability and safety posture improvements, and partner satisfaction with outputs.

• Partner closely across engineering, safety, geopolitical analysis, and quantitative teams to ensure solutions are technically credible, threat-informed, and measurable.

• Communicate crisply and decision-readily to internal and external stakeholders: progress, trade-offs, risks, and recommendations.

You might thrive in this role if you:

• Have 6+ years in product, technical program leadership, solutions, or platform operations, especially in safety, security, risk, integrity, or enterprise/public-sector contexts.

• Have built 0–1 solution offerings (product plus services or productized services): taking ambiguous needs, shipping something concrete, then scaling it into a repeatable model.

• Have a builder’s mindset: comfortable incubating early-stage ideas, testing them with partners, and evolving them into durable, repeatable safety and security solutions.

• Can go deep with engineers and still produce partner-ready artifacts that are clear

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• $265K – $295K • 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.

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 People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI).

About the Role

As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale.

Responsibilities

• Own and continuously improve People Operations across the full workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring scalable, compliant, and people-centered processes globally.

• Lead and develop a high-performing operations team across people and recruiting operations, setting clear standards, driving accountability, and building strong operational judgment.

• Own the integrity of workforce data end-to-end, from candidate and hiring data through employee lifecycle data, proactively identifying gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Design, document, and rigorously test critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

• Serve as a senior operational partner to Finance, Legal, IT, Security, and People leadership, translating business needs into durable infrastructure that supports both hiring velocity and responsible workforce scale.

• Oversee People systems and vendors that support hiring and the employee lifecycle (e.g., ATS, HRIS, onboarding, payroll, benefits administration), ensuring reliability, clean handoffs, and strong user experience.

• Lead operational readiness for growth events such as headcount expansion, new entities, new geographies, and other strategic initiatives.

What You Will Bring

• Exceptional judgment, comfort operating in ambiguity, and the ability to balance rigor with empathy at scale.

• Strong operational judgment, with a focus on data-driven decision making and process improvement.

• Proven ability to lead and develop high-performing teams, with a focus on building strong operational judgment and accountability.

• Strong communication and interpersonal skills, with the ability to effectively partner with cross-functional stakeholders.

• Experience with People Operations, Recruiting Operations, or a related field, with a focus on scalable, compliant, and people-centered processes.

• Strong analytical and problem-solving skills, with the ability to identify gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Experience with designing, documenting, and rigorously testing critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

What We Offer

• Competitive salary and benefits package, including equity and performance-related bonus(es).

• Opportunity to work with a rapidly growing company that is making a significant impact in the field of artificial general intelligence.

• Collaborative and dynamic work environment, with a focus on building strong operational judgment and accountability.

• Professional development opportunities, including training and education programs, to help you grow and develop in your career.

• Flexible work arrangements, including remote work options and flexible hours.

How to Apply

If you are a motivated and experienced professional looking to join a dynamic and growing company, please submit your application, including your resume and a cover letter, to [insert contact information].

Contact Information

[Insert contact information, including email address and phone number].

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San Francisco; New York City; Remote - US

Employment Type

Full time

Location Type

Hybrid

Department

Intelligence & Investigations

Compensation

• $198K – $220K • 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 mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.

The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.

About the Role

As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.

In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.

You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.

This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work PST and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.

In this role, you will:

• Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.

• Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.

• Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.

• Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.

• Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries

• Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.

• Be someone people enjoy working with.

• Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

You might thrive in this role if you:

• Have a strong background in computer science, software engineering, or a related field.
• Have experience with data analysis, machine learning, or other technical skills relevant to the role.
• Are able to work effectively in a fast-paced, dynamic environment.
• Are able to communicate complex technical information to non-technical stakeholders.
• Are able to work independently and as part of a team.
• Are able to adapt to changing priorities and deadlines.
• Are able to maintain confidentiality and handle sensitive information.
• Are able to work in a remote environment.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $302K – $335K • 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 Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.

You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%.

In this role you will

• Lead and grow a team of FDE delivering production systems with frontier models

• Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality

• Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community

• Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices

• Use judgement to distinguish what requires action and what does not

• Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback

• Define how we staff and support field teams that can scale without added complexity

You might thrive in this role if you

• Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers

• Have led high-pressure technical projects from prototype to production

• Write and review production-grade code across frontend and backend using Javascript or Python

• Simplify complex work and make fast, sound decisions under pressure

• Elevate team performance through clarity, not process

• Operate with urgency in ambiguous or evolving environments

• Translate field experience into sharp, actionable feedback for Product and Research

• Build deep trust with your team by modeling calm, focus, and judgment when it matters most

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $230K – $325K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI Labs explores the edges of what’s possible with AI. We start from the latest breakthroughs – or overlooked research with untapped potential – and expand their capabilities by prototyping entirely new ways for people to benefit from AI.

About the Role

As a Full-Stack Software Engineer on the Labs team, you will create new ways for people to interact with AI.

Your work will begin as rapid internal experiments: prototypes built to explore surprising capabilities or novel interfaces. Some will spark entirely new products or research directions, shaping how millions of people experience AI. Across projects, you’ll ship these ideas internally, learn from how people use them, and – if they prove promising – hand them off to product teams to take forward before moving on to the next frontier.

Sometimes you’ll start by playing with a researcher’s early demo, identify emerging behaviors, and push on them in collaboration with researchers. Other times, you’ll start from a capability that hasn’t yet been fully explored and design a novel interface around it.

We’re looking for creative people who love to tinker and explore, chasing sparks of magic and shaping them into experiences that help the world go further and discover new possibilities.

Location

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

In this role, you will:

• Explore emerging capabilities and collaborate with researchers to uncover surprising new behaviors – whether from the model itself or from how people respond – and push their limits through creative experimentation.

• Design and prototype new interfaces and interaction patterns that rethink how people experience AI, making powerful capabilities feel intuitive, delightful, and inspiring.

• Bring ideas to life quickly, turning concepts into working demos – and evolving those prototypes into robust, testable experiences ready for real-world feedback.

• Ship early, learn from real usage, and iterate fast – refining ideas based on how people actually use them.

• Hand off the most promising prototypes to product teams to scale before moving on to the next frontier.

You might thrive in this role if you:

• Have demonstrated experience building and shipping full-stack applications, from intuitive interfaces to reliable backend systems.

• Build things for fun and care deeply about craft: curiosity drives you, and creating is how you explore ideas.

• Are energized by ambiguity and excited to turn novel capabilities into tangible, working experiences.

• Have a refined product taste and intuition for what great interactions should feel like.

• Care about how ideas work in people’s hands and evolve through real use.

• Value iteration as much as invention; refining is part of the creative process.

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $198K – $335K • 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 Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.

About the Role

As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in New York City or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research work streams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer‑facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. A

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $162K – $240K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for 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 ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

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

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co

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Account Director, Digital Native Large Enterprise

Location

San Francisco; New York City; Remote - US; Seattle

Employment Type

Full time

Department

Compensation

• San Francisco, New York, Seattle $335K – $350K • Offers Equity
• Remote - USThe base pay offered may vary depending on multiple individualized factors, including market location. $176K – $350K • 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 mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.

This role can be based in our San Francisco, New York, or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you'll:

• Manage ~five key accounts, developing and executing strategies for a comprehensive account plan

• Lead our enterprise customers’ journeys from ideation to successful deployment

• Partner with solutions and research engineering to build and execute complex customer programs and projects

• Own a consumption revenue target

• Manage consumption revenue forecasts

• Analyze key account metrics to create reports and provide insights to internal and external stakeholders

• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies

• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering

• Support the recruitment and onboarding of other teammates

• Support the development of company culture

We're seeking someone with experience including:

• 14+ years selling platform-as-a-service and/or software-as-a-service

• Achieving revenue targets >$1M per year for more than 3 years

• Designing and executing complex deal strategies

• Supporting the growth of fast-growing, high-performance companies

• Working directly with c-level executives

• Communicating technical concepts to customers and internal stakeholders

• Leading high-visibility customer events (CAB, conferences, product launches, etc.)

• Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence

You might thrive in this role if you:

• Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

• Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

• Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision and care.

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Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese _and_ English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• 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.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

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

Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

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

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

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$251K – $335K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in the Digital Native segment, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are seeking a leader to ensure the technical success of our most strategic technology and software customers in the Americas. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.

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

In this role, you will:

• Own the strategy and operating model of the AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.

• Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.

• Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.

• Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.

• Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.

You’ll thrive in this role if you:

• Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.

• Have 2+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.

• Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Have industry experience in programming languages like Python or Javascript.

• Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.

• 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.

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

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $230K • 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 AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize 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.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the center of that mission.

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 includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

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.

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

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, optimization, 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, synthesize 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 a deep understanding of AI and machine learning concepts, as well as experience with OpenAI’s products or similar technologies.

• Are an exceptional communicator and trainer, able to distill complex technical concepts into clear, actionable guidance for diverse audiences.

• Are a strategic thinker, able to develop and execute plans that drive business outcomes and customer success.

• Are a collaborative team player, able to work effectively with cross-functional teams to achieve shared goals.

• Are a lifelong learner, committed to staying up-to-date with the latest developments in AI and machine learning.

• Are passionate about customer success and committed to delivering exceptional results.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$197K – $278K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the team

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.

About the role

We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.

You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.

This role is based in our NYC office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.

In this role, you will:

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.

• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.

• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.

• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.

• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.

• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.

• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.

• Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.

• Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.

• Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.

• Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.

• Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

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 be a company that is both technically excellent and socially responsible.

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Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• Remote$157.6K – $222.4K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
• Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
• Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
• Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
• Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
• Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
• Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
• Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
• Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
• Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
• Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.
• Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
• Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
• Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.
• Care about customer success, reliability, safety, and operational excellence as much as a great product.

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Location

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post-AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross-functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry-leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English, and the interview process will be conducted in English.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go-To-Market teams.

• Orchestrate agentic improvements to our operations that will level-up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on call shifts and during holidays and weekends based on business needs.

Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday)

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast-paced environments.

• Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.

• 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.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

_PREFERRED:_ Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

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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Software Engineer, Privacy

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Security

Compensation

• $230K – $325K

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.

We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.

About the Role

We are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy.

This position is located in San Francisco. Relocation assistance is available.

In this role, you will:

• Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.

• Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.

• Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.

• Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.

• Coordinate and actively participate in privacy incident response efforts.

You might thrive in this role if you:

• Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.

• Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.

• Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.

• Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.

• Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.

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

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $440K – $490K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.

As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.

We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.

About the Role

We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.

Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.

You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.

This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.

Responsibilities

• Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.

• Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.

• Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.

• Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.

• Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.

• Research and evaluate emerging tools and techniques in the forecasting space.

• Translate technical outputs into business-aligned recommendations and decision frameworks.

Requirements

• Extensive experience building production-ready models for time series applications.

• Proven track record of building adjustable and explainable forecast models for multiple planning cycles.

• 10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling.

• Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.

• Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.

• Team leadership experience with a track record of building high-performing, engaged teams.

• An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).

• A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.

• The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes

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Location

San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• $185K – $325K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world.

Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.

Learn more about OpenAI’s approach to safety

About the Role

At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities.

In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

In this role, you will:

• Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.

• Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values.

• Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.

You might thrive in this role if:

• You have built and run production services in a high growth, rapidly scaling environment.

• You can debug live issues and restore systems quickly.

• You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety.

• You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python.

• You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely.

• You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience.

• You’re pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution.

• You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance.

• You’ve deployed classifiers or machine learning models, or are excited to learn about modern ML infra.

Our tech stack

• Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills who understand the fundamental problems these tools solve, and can quickly pick up new tools and frameworks.

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $325K • Offers Equity

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

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

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

About the Role

As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organisations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments.

Responsibilities

• Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, and model behavior to make Codex a truly reliable teammate for organisations.

• Build the core team and enterprise primitives that make Codex usable at scale, including RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.

• Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.

• Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.

• Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability and scalability.

• Have experience working with large-scale systems, including designing and implementing APIs, data pipelines, and other critical infrastructure.

• Are passionate about building and maintaining high-quality software, with a focus on testability, maintainability, and scalability.

• Have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including engineering, product, and design.

• Are comfortable with ambiguity and uncertainty, with the ability to adapt to changing requirements and priorities.

• Have a strong sense of ownership and accountability, with the ability to drive results and deliver high-quality outcomes.

• Are committed to ongoing learning and professional development, with a desire to stay up-to-date with the latest technologies and trends in software engineering.

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Engineering Manager, Identity Infrastructure

Location

San Francisco

Employment Type

Full time

Department

Applied AI

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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational 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. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.

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

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.

• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.

• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.

• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.

• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.

• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.

• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.

• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.

• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.

• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.

• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.

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 artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $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.

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The ChatGPT team operates at the intersection of research, engineering, product, and design to bring OpenAI’s technology to a global audience.

Within ChatGPT, the Growth Partnerships team is dedicated to expanding distribution, unlocking new user acquisition channels, and building high-leverage integrations that deliver ChatGPT to users where they are. Working closely with external partners and internal platform teams, we design product experiences, APIs, and growth surfaces that scale adoption while upholding trust and safety.

Our work is multidisciplinary—merging product, engineering, and business impact to transform partnerships into sustainable growth engines for ChatGPT.

About the Role

We are seeking an experienced Full Stack Engineer to join the ChatGPT Growth Partnerships team and help establish the technical foundation that underpins partner-led growth. You will work on end-to-end product experiences—including frontend applications, backend services, APIs, experimentation, and data—that facilitate seamless integrations, onboarding, activation, and monetization through partners.

This high-impact role is ideal for engineers who thrive in fast-paced, ambiguous settings, can move from concept to launch, make sound product and technical judgments, and deliver quickly while maintaining robust engineering standards.

Responsibilities

• Build and own full-stack product experiences supporting partner integrations, onboarding flows, activation funnels, and growth surfaces.

• Design and develop backend services and APIs for scalable, secure partner experiences.

• Collaborate with product, partnerships, design, data science, and research teams to translate strategy into shipped product.

• Lead experimentation initiatives (A/B tests, metrics, instrumentation) to understand drivers of adoption, retention, and value through partnerships.

• Identify leverage points where small technical innovations can unlock significant growth impact.

• Establish best practices for building extensible, partner-friendly systems at scale.

• Contribute to a culture of ownership, clarity, inclusiveness, and thoughtful debate within engineering.

You Might Thrive in This Role If You

• Have delivered full-stack features on the web that drive user acquisition, activation, or monetization (e.g., onboarding, integrations, dashboards, purchase flows).

• Are comfortable with frontend and backend development, including API and service design, as well as data flows.

• Think with a system-level perspective and focus on scalability and long-term robustness.

• Are highly analytical, experienced in experiment design, and able to connect technical work to business outcomes.

• Enjoy navigating ambiguity and structuring new problem areas.

• Possess strong product intuition and prioritize user- and developer-friendly experiences.

• Are motivated by impact and inspired to help shape how partnerships fuel ChatGPT’s growth.

Location

San Francisco, New York, or Seattle

Work Type

Full-time

Join us to help grow the ChatGPT partner ecosystem and reach millions of users through thoughtful engineering and product leadership.

About OpenAI

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

XML job scraping automation by YubHub

Location

San Francisco; Seattle

Employment Type

Full time

Location Type

On-site

Department

Applied AI

Compensation

• $230K – $325K • Offers Equity

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

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

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

About the Role

Codex Cloud owns cloud-based agentic experiences like code review and cloud tasks (with many more on the way), but also the underlying runtime/orchestration layer for cloud-based agentic tasks. That runtime is the execution and infrastructure layer that turns Codex from a code generator into a real AI software engineer operating at scale. It provides secure, sandboxed environments where Codex can run commands, read and write files, execute tests, and iteratively improve its work across real codebases — just like a human developer. More broadly, Codex Runtime is the distributed systems substrate that enables large numbers of supervised AI agents to run inside OpenAI’s and customers’ data centers, tackling increasingly complex goals over long time horizons. By giving agents a real working context and reliable execution environment, Codex Runtime makes it possible for Codex to validate its own changes, debug failures, and deliver production-ready results, defining how AI agents safely, reliably, and at scale interact with the world’s software.

In this role, you will:

• Shape the evolution of Codex itself by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, and model behavior to make Codex a truly reliable teammate for organizations.

• Design customer-facing (across consumer and enterprise segments) software engineering experiences end-to-end to automate and empower engineers to safely build and deliver software to their customers.

• Build the core team and enterprise primitives that make Codex usable at scale including container orchestration, virtual machine provisioning/configuration, execution sandboxes, shared block storage, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.

• Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.

• Lead real-world deployments and launches by working directly with customers and GTM to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience turning ideas into production-grade large-scale distributed systems, thinking holistically about balancing speed, performance, costs, and user experience.

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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $255K – $440K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals.

About the Role As a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability.

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

In this role, you will:

• Architect, implement and scale core payment infrastructure.
• Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth.
• Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems.
• Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments.
• Create a seamless user experience for checkout around the world.
• Improve the reliability, observability and auditability of money movement at OpenAI.

You might thrive in this role if you:

• Have 5+ years of professional experience in software engineering, ideally with a focus on payments or financial systems at scale.
• Are familiar with payment processors (e.g., Stripe, Adyen, Braintree) or have built similar internal financial systems, e.g. storing cardholder data, pricing, online commerce, etc.
• Bring a strong product mindset and a desire to deeply understand product needs and design for long-term flexibility.
• Thrive in high-growth, ambiguous environments, and can balance fast execution with technical rigor and system reliability.
• Excellent communication skills, with ability to build consensus among stakeholders both internally and externally.

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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Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $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

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for a Senior Android Engineer on OpenAI’s Applied team to build the core mobile experiences that power how users sign up, manage their account, use family features, pay for services, stay safe, and interact with OpenAI’s products with confidence.

This role is about building high-quality products and reusable Android foundations that product teams across OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payments, and Android platform integrations, and you’ll work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale.

In this role, you will

• Build and ship monetization experiences on Android (e.g., plan selection, purchase flows, subscription management, entitlements, and policy-aware UX patterns).

• Design and maintain shared Android frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (auth/session, entitlements, checkout abstractions, safety gates, etc.).

• Own complex Android systems end-to-end across UI architecture, networking, local persistence/state, observability, and release processes.

• Build robust integrations with Android platform and ecosystem components (e.g., Google Play Billing, authentication, device security signals, deep links, push).

• Optimize performance, reliability, and responsiveness at global scale (startup time, rendering, network resiliency, battery, crash-free sessions).

• Establish and evolve testing and quality systems (unit/integration/UI tests, CI reliability, automated regression, release validation).

• Collaborate with Product, Design, Research, backend, and Safety to deliver features that meet OpenAI’s highest standards for safety, privacy, fairness, and policy compliance.

• Provide technical leadership through architecture reviews, mentoring, and setting engineering standards across the Android foundations surface.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with meaningful Android ownership.

• Have a track record of building and shipping high-quality Android applications in production (especially for reliability- and trust-sensitive flows like identity and payments).

• Are fluent in Kotlin and comfortable with Android tooling and architecture (Gradle, Android Studio, modern app architecture patterns, Jetpack Compose).

• Enjoy making pragmatic architectural tradeoffs while keeping systems maintainable, testable, and scalable.

• Care deeply about performance, security, privacy, and user experience, and you bring a high bar for polish.

• Thrive in 0→1 environments where systems, architecture, and processes are constantly evolving.

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Engineering Manager, Atlas

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $490K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The ChatGPT Atlas engineering team is focused on extending the functionality & reach of the ChatGPT Atlas app to new use cases & platforms. Our vision is to create a world class web browser with ChatGPT at its core, helping you get stuff done as you move across the web.

With Atlas, ChatGPT can come with you anywhere across the web; helping you in the window right where you are, understanding what you’re trying to do, and completing tasks for you, all without copying and pasting or leaving the page.

About the Role

We are seeking an experienced Engineering Manager to lead a major part of the Atlas browser engineering team. In this role, you will help build and scale a world-class engineering team, drive the execution of complex cross-functional projects, and contribute to the long-term strategy of transforming Atlas into people’s browser of choice. You will play a critical role in managing the team, ensuring product quality and reliability, and establishing processes that foster collaboration and efficiency.

In this role, you will:

• Manage and grow a high-performing engineering team in a fast-paced, high-expectation environment.

• Ramp up on the team’s technology, product, and business goals, including hands-on work to develop a deep technical understanding.

• Lead hiring and onboarding efforts to build a strong, collaborative team.

• Set clear priorities and strategic direction in collaboration with engineering, product, design, and research teams.

• Drive process improvements to increase team effectiveness and product quality.

• Deliver complex, cross-functional projects that align with business objectives and drive impact.

• Ensure the Atlas browser is scalable, reliable, and continuously improving.

• Collaborate closely with Product and Research teams to push the boundaries of AI-enabled assistance.

You might thrive in this role if you:

• Have 5+ years of experience managing engineering teams in a high-performance, fast-paced environment.

• Bring 5+ years of experience building and operating distributed systems at scale OR 5+ years of experience building installed/native apps at scale.

• Take pride in building delightful, high quality product experiences

• Have a strong track record of leading world-class teams and delivering impactful projects.

• Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams

• Thrive in ambiguity and can adapt quickly to rapidly changing conditions.

• Have experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the future

• Have a strong coaching mindset and excel at guiding engineers to reach their peak potential.

• Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others

• Are comfortable navigating AI/ML research collaborations (nice to have).

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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We are seeking a talented Software Engineer to join our team at Valve Corporation. As a Software Engineer, you will be responsible for designing, developing, and testing software applications for our products, including games and other digital content.

Responsibilities

• Collaborate with cross-functional teams to design and develop software applications
• Write clean, efficient, and well-documented code in C++, Java, or other languages as needed
• Develop and maintain software tools and infrastructure to support game development and deployment
• Troubleshoot and debug software issues to ensure high-quality products
• Participate in code reviews and contribute to the improvement of our codebase
• Stay up-to-date with industry trends and emerging technologies

Requirements

• Bachelor's degree in Computer Science or related field
• 2+ years of experience in software development
• Proficiency in C++, Java, or other languages as needed
• Experience with game development or related technologies
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork skills

Benefits

• Competitive salary and benefits package
• Opportunity to work on exciting and challenging projects
• Collaborative and dynamic work environment
• Flexible schedule and remote work options
• Access to on-site amenities and resources

How to Apply

If you are a motivated and talented Software Engineer looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

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Want to lead engineering at a well-funded AI startup that's really going places? Scale a world-class team, ship AI products for real customers and revenue at 5D, and build the culture that carries us.

Apply

We usually respond within a day

About Us

Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.

We're a London, New York and Singapore based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.

At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement.

The Challenge

It's 9 AM on a Monday in London. You're reviewing the week's priorities across engineering, spotting a cross-team dependency that's about to stall a key feature launch—and you unblock it before it becomes a problem. Over lunch, you're in a 1:1 with a senior engineer who's ready for more ownership, sketching out a path for them to lead a new area. By Wednesday, you're on a call with the New York team, aligning on a customer delivery that spans time zones, then into a working session with the CTO and product leads pressure-testing the architecture for our next major initiative. By Thursday, you're reviewing a hiring pipeline for Singapore as we build out our APAC presence. By Friday, two new engineers have accepted offers, your team demo blew the founders away, and you're reflecting on how different this org looks from just three months ago.

This is what building looks like. Not just building software—building the engineering organisation that builds the software.

About You

You've scaled an engineering team before—around 10 to 100+ people in product engineering orgs—and you know how much has to go right simultaneously. Hiring great people, keeping them engaged and growing, knowing which practices to introduce at which stage, when to add structure and when to stay out of the way, and how to preserve the autonomy and intellectual honesty that make small teams great even as the organisation doubles and trebles in size.

You're technically credible without needing to be the best engineer in the room. You can engage substantively in architecture discussions, you earn the respect of senior ICs, and you know enough to ask the right questions and smell when something's off. But your superpower is people and delivery, not pull requests.

You understand that scaling an AI-first engineering organisation carries its own distinct challenges—especially right now. Coding agents and AI-assisted development workflows are evolving at breakneck speed. The tools your team uses today might look completely different in six months. This is the best time in a generation to drive transformational change in how software gets built, but it takes genuinely open-minded, AI-first leadership to make it happen. You don't just follow these developments—you have first-hand experience with what AI can do in software development, and you bring conviction about where it's heading.

You're comfortable with probabilistic outputs, evaluation-driven development, and the reality that traditional testing playbooks don't translate directly to AI products. You've seen what's possible when engineering teams embrace this shift, and you want to lead one that's at the frontier.

You write clearly and think in systems—both technical and organisational. You coach rather than command. You've had the difficult conversations, run the performance reviews, made the hard calls, and learned from the ones that didn't go well.

You're passionate about your own growth and create environments where others grow too. You seek feedback, iterate on your own approach, and genuinely believe that the best engineering cultures are built, not inherited.

Your Impact

Reporting to our CTO Chen, you'll take operational ownership of 5D's engineering organisation as we scale through Series A and beyond. You'll partner closely with our CTO on technical direction and architecture, and with our product and design colleagues on priorities and customer impact—owning the people, process, and delivery that turn strategy into shipped product.

You'll build the engineering culture that carries us from a tight-knit London team to a multi-geo organisation spanning London, New York, and Singapore.

This role is about operational leadership—not being the most senior technical decision-maker, and not coding day-to-day. It's about making everyone around you more effective, more aligned, and more ambitious.

What You'll Own

• Org design and scaling — Structure the team for growth, hire engineering leads, and build our presence in new geographies while preserving the autonomy that makes our best engineers thrive

• Delivery and process — Establish the coordination, rituals, and release practices that keep us shipping fast without sacrificing quality

• People and culture — Own career development, performance management, and the health of engineering culture as we grow

• Engineering operations — Be the operational backbone for compliance, security, and the day-to-day machinery that keeps the org running smoothly

• Leadership partnership — Free up CTO and CPO time by owning the operational load

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Apply

We usually respond within a day

About Us:

Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.

We're a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.

At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement.

The Challenge

It's 9 AM on a Monday. You're reviewing usage analytics from last week's release and notice a drop-off in a key workflow—you sketch out a hypothesis and a fix before standup. By noon, you've shipped a prototype using Claude Code that rethinks how users navigate large document sets, and you're demoing it to a product manager and a customer success lead. By Wednesday, you're on a call with a major real estate firm, listening to how they actually use the platform day-to-day—and you spot an opportunity nobody had articulated yet. By Thursday, you've shaped that insight into a spec, got buy-in, and started building. By Friday, you're celebrating with the team as a customer tells you: "This is exactly what we needed."

About You

You've honed your craft through years of practice across the full stack, from performant backends and well-designed APIs to responsive, polished frontends. You have strong product intuition—you know how to talk to customers, read between the lines of a feature request, and make pragmatic trade-offs between scope, speed, and quality.

You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level product and architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential.

Details don't escape you. You take pride in the end-to-end user experience—from the API contract to the loading state to the edge case that only one customer hits. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers.

You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.

Your Impact

Reporting to our CTO Chen, you'll own and shape core product areas end-to-end—from discovery and design through to architecture, implementation, deployment, and customer adoption. Working closely with our skilled engineering team and commercial stakeholders, you'll combine deep technical ability with strong product sense to build capabilities that deliver tangible value to enterprise customers and drive the business forward.

Day to Day, You Will

• Think like a Product Manager+: Own core product areas while balancing technical excellence with business impact—you don't wait for a spec, you help write it

• Own end-to-end delivery of complex features from discovery and definition through to production deployment and customer adoption

• Talk to customers regularly—understanding their workflows, pain points, and unarticulated needs to inform what you build

• Collaborate with product, design, and commercial teams to shape the roadmap and translate customer insight into robust technical solutions

• Leverage AI coding tools like Claude Code to accelerate development workflows

• Lead development of the systems that underpin our platform:

• Scalable APIs and backend services that power document processing, data extraction, and agentic workflows

• Reliable streaming and event-driven architectures for real-time user experiences

• Frontend experiences that make powerful AI capabilities intuitive and accessible

• Integrations with enterprise systems and third-party platforms

• Implement data privacy and security by design

• Champion engineering best practices: testing, observability, CI/CD, and infrastructure-as-code

• Mentor other engineers and help establish engineering and product-thinking best practices

• Invest in your own growth by taking on ambitious technical challenges and expanding your expertise

• Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation

Our Values and Engineering Culture

At 5D, we embody three core principles: Own it, Ship it, and Don't be boring.

Our engineering team values:

• Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions

• Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps

• Effective Time Management: Setting clear timebox and abandoning approaches that aren't working

• Clear Communication: Writing self-documenting code and providing detailed explanations

• **Innovation Minds

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What you'll do

As a key member of our team, you will be responsible for:

• Developing and implementing HSE programmes to ensure compliance with industry regulations and standards

What you need

To be successful in this role, you will need:

• A degree in Chemistry, Chemical Engineering, or Environmental Sciences

Why this matters

This role is critical to ensuring the health and safety of our employees and the environment. As a responsible employer, we prioritise the well-being of our employees and the communities we operate in.

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What you'll do

• Oversee project schedules and ensure timely delivery of milestones
• Balance scope, timelines and overall project quality

What you need

• Experience and Knowledge / Education : Bachelor's degree or equivalent industry experience
• 8+ years of experience in project management or team leadership roles in QA or software development
• 2+ years of people management experience

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What you'll do

• Define and execute the QEHS and sustainability strategy: Develop policies, procedures, and management systems that ensure regulatory compliance and continuous improvement.
• Compliance with regulations and certifications: Ensure compliance with ISO 9001, ISO 14001, ISO 45001, IATF16949, NSF, and other applicable local and international requirements.

What you need

• Formación in Grado in Ingeniería, Química, or Ciencias Ambientales; Máster in sistemas integrados de gestión (valorable Máster in Sostenibilidad).
• Experience of more than 10 years in QEHS and sustainability; minimum 5 years in a director position in the chemical or similar sector.
• Advanced knowledge in Normas ISO, IATF 16949, legislación aplicable, SAP, MS Office 365, herramientas de gestión (ISO-Tools, Kanbanize).
• Idiomas: Inglés avanzado (oral and escrito).
• Competencias: Liderazgo, pensamiento estratégico, orientación a resultados, capacidad de influencia, trabajo en entornos matriciales.

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What you'll do

As Principal Java Engineer in Razer Gold, you will lead the overall backend system development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to lead system modernization efforts.

• Proactively drive the design and implementation of the Razer Gold core backend system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Leading the team to tackle challenging technical issues.
• Helping the team to grow and prepare for the foreseeable technical challenges.
• Setting example by building high-quality code with unit test and automation test
• Stay on top of any critical issues and drive to the finish line.
• Leading the team to migrate the existing system to a new tech stack

What you need

• BA/BS in Computer Science, Math, Physics, or other technical fields.
• 8+ years of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Solid hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling.
• Experience in .Net system is a huge plus
• Experience in DB system, especially Microsoft SQL Server, PostgreSQL and MySQL DB.
• Experience with at least one of major public cloud services, especially AWS

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What you'll do

• Lead and manage IT projects from initiation to delivery
• Develop and maintain project plans, timelines, and budgets
• Coordinate with cross-functional teams to ensure project success

What you need

• Bachelor's degree in Computer Science, Engineering, or related field
• Minimum 10 years of experience in IT project management
• Strong knowledge of IT project management methodologies and tools
• Excellent communication and leadership skills
• Ability to work effectively in a fast-paced environment

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