This is a rare opportunity to define what engineering leadership looks like inside a design organization. You'll report to the Chief Design Officer and partner closely with Product Design, Technical Writing, Localization, Marketing, Product Management, and Engineering leaders across GitLab.

Critically, the design system is a contribution-based, company-wide platform that engineers across the entire organization depend on and actively participate in. Building those partnerships and making it easier for engineers everywhere to contribute to Pajamas will be central to your success.

You'll be a hands-on technical leader and people manager in equal measure: guiding architecture decisions, shaping contribution workflows, and helping a small, high-impact team do some of the most leveraged work at GitLab.

Responsibilities

• Lead, mentor, and grow a high-performing team of engineers, working across the Pajamas Design System and the GitLab documentation site.
• Define and build the engineering practice within Upstream Studios–this is a new function and you’ll have real influence over how it takes shape.
• Guide architecture and technical decisions for the design system (components, tokens, patterns) and the docs site (performance, reliability, infrastructure, localization).
• Help others across the organization understand the strategic value of a well-maintained design system and documentation platform.
• Advocate for engineering quality: technical debt, accessibility standards, customer issues, security, and platform reliability.
• Collaborate with Product Design and Technical Writing to translate design and content needs into scalable technical solutions

Requirements

• Experience leading infrastructure, platform, or development teams, with a track record of building high-performing, values-aligned teams.
• Deep expertise in design systems–including design tokens, component architecture, accessibility standards, and contribution models.
• Excellent technical background, including professional experience with Git, docs-as-code, Hugo, accessibility, and building and maintaining a design system.
• Experience of building and supporting multi-lingual sites and localization workflows at scale.
• Professional experience with JavaScript (Vue.js) and familiarity with Elasticsearch, Ruby/Go, AI tools, and continuous integration and continuous deployment (CI/CD) practices.
• Strong expertise in running and scaling large, consumer-grade platforms, with a focus on reliability, security, performance, and scalability.
• Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process.
• Passion for open source and developer tools, with a commitment to GitLab's values, inclusive culture, and high-performance expectations

About the Team

Upstream Studios is the full-stack experience organization for GitLab. We imagine it, we design it, we document it, we ship it,partnering across product, engineering, and marketing to deliver a continuous deployment of quality. We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment.

For more information on how we work, see the Upstream Studios section of the GitLab Handbook.

How GitLab Supports Full-Time Employees

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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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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You'll act as a trusted advisor during technical evaluations, guide customers through solution design and adoption, and partner closely with Account Executives and cross-functional teams to connect customer needs with GitLab's platform strategy.

Reporting to a regional Solutions Architect Manager, you'll play a direct role in customer acquisition, expansion, and long-term success while helping GitLab stand out in a fast-moving AI and DevSecOps market.

Key responsibilities include:

• Guiding technical discovery, demos, workshops, and validation activities that show how GitLab supports customer requirements across planning, development, security, deployment, and monitoring, helping improve technical win rates and accelerate evaluation cycles.
• Coordinating the technical evaluation process as the directly responsible individual for proofs of concept, proofs of value, solution design, and technical responses for tenders or audits, with a focus on reducing time to technical validation and supporting successful customer acquisition.
• Collaborating with Small and Mid-Market Account Executives and regional sales teams in North America to shape account strategies for new business and expansion opportunities.
• Advising customers on modern software development, continuous integration, continuous deployment, security, cloud, and DevSecOps practices, and connecting those practices to business outcomes.
• Building tailored demos, reference architectures, talk tracks, and presentation materials that support active Small and Mid-Market evaluations and reflect customer-specific use cases, helping Account Executives move new business opportunities forward.
• Supporting Account Executives with technical discovery guidance, objection handling, and evaluation planning for common Small and Mid-Market scenarios, while contributing reusable materials that improve execution across similar new business opportunities.
• Developing reusable technical workflows, including pre-built projects, continuous integration and continuous deployment templates, and proof of value starting points, where they help accelerate customer evaluations and reduce time to technical validation.
• Sharing customer feedback, use cases, and competitive insights with product management, engineering, sales, and marketing to improve product direction and field effectiveness.

To succeed in this role, you'll need:

• Proficiency with the end-to-end software development lifecycle, including DevSecOps practices and continuous integration and continuous deployment workflows.
• Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment tooling, and collaboration platforms, with the ability to map platform capabilities to customer use cases.
• Practical knowledge of cloud computing, deployment patterns, security concepts, and operational considerations relevant to modern software teams.
• Ability to guide technical evaluations, including proofs of concept, proofs of value, workshops, value stream assessments, and technical contributions to tenders or audits.
• Skill in explaining technical concepts clearly to both practitioners and senior business or technical stakeholders.
• Experience building trusted relationships with customers and acting as their advocate with internal partners across product, engineering, sales, and marketing.
• Interest in improving technical evaluation quality and efficiency through practical reusable assets, templates, and demo environments that support customer-facing work.
• Openness to candidates with transferable experience from roles such as developer, DevOps, technical pre-sales, or other scale-oriented technical environments.

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Responsibilities:

• Design and develop reliable and high-performance services and client libraries for storing and accessing large amounts of data on cloud storage backends, such as AWS S3 and Azure Blob Store.
• Build scalable services using Scala, Kubernetes, and data pipelines, such as Apache Spark and Databricks.
• Work on a SaaS platform or with Service-Oriented Architectures.
• Collaborate with our DDS team to develop and deploy data-centric solutions using Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Develop and maintain high-quality code, following best practices and coding standards.
• Participate in code reviews and provide feedback to improve the quality of the codebase.
• Troubleshoot and resolve issues that arise during deployment and operation.

Requirements:

• Bachelor's degree in Computer Science or a related field.
• 7+ years of production-level experience in one of the following languages: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Strong understanding of software design patterns and principles.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a team environment.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines.
• Knowledge of cloud-based storage systems, such as AWS S3 and Azure Blob Store.
• Familiarity with containerization using Docker and Kubernetes.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines.
• Strong understanding of security principles and practices.
• Familiarity with agile development methodologies and version control systems, such as Git.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

Databricks is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment where everyone feels valued and empowered to contribute their best work.

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You'll guide your team to act as trusted advisors to GitLab prospects and customers, helping them validate GitLab's Enterprise Edition as the right technical and business solution and supporting successful adoption of the GitLab platform across the entire software development lifecycle.

You'll hire, coach, and retain a high-performing team, set clear expectations, and be accountable for how your team runs complex technical evaluations, articulates business outcomes, and collaborates with Sales, Engineering, Product Management, and Marketing.

You'll model the work of a Solutions Architect yourself, from solution design through technical presentations, so your team is equipped to drive meaningful customer change with GitLab.

Key responsibilities include:

• Leading a distributed team of intermediate and senior Solutions Architects supporting Enterprise customers in the West territory.

• Coaching, mentoring, and developing team members through regular feedback, career support, and skills development in both technical and consultative areas.

• Growing and retaining a high-performing team by hiring thoughtfully, onboarding effectively, and fostering an inclusive, results-focused culture.

• Guiding by example by engaging in key customer opportunities as a Solutions Architect, from discovery through technical validation and successful adoption of the GitLab platform.

• Driving the quality and consistency of technical evaluations, demos, and proofs of concept so that GitLab solutions clearly address customer business and technical requirements.

• Collaborating closely with regional sales managers on territory strategy, account planning, and forecast support to ensure alignment between technical and commercial motions.

• Partnering with Product Management, Engineering, and Marketing to share field insights, influence the roadmap, and improve messaging around GitLab's Enterprise Edition and platform capabilities.

• Owning team execution by defining and tracking key performance indicators, and communicating progress, risks, and priorities clearly to your team, peers, and leadership.

Requirements include:

• Experience mentoring and developing technical team members, including giving and receiving constructive feedback.

• Experience managing or leading technical pre-sales or information technology professionals, ideally in an enterprise-focused environment.

• Ability to collaborate effectively with other managers and cross-functional partners to plan and execute sales and go-to-market strategies.

• Strong technical presentation and communication skills, with the ability to engage both technical and business stakeholders.

• Knowledge of the end-to-end software development lifecycle, including modern software development or operations practices.

• Understanding of continuous integration and continuous deployment concepts and their impact on customer outcomes.

• Familiarity with cloud computing concepts, related technologies, and common customer adoption patterns.

• Ability and willingness to travel in line with business needs and the company's travel policy, and openness to learning and using GitLab and related tools, including through transferable experience from adjacent domains.

As a member of the Enterprise Solutions Architect team, you'll partner with our largest customers to design and validate technical solutions that drive successful adoption of the GitLab platform. This role leads a group of intermediate and senior Solutions Architects aligned to the West Enterprise sales territory, working closely with Sales, Engineering, Product Management, and Marketing to support complex evaluations and long-term customer outcomes.

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Key responsibilities include:

• Partner with our customers to define and achieve business outcomes
• Guide the customer on future adoption and ensure ongoing and ever-improving customer return-on-investment
• Act as the GitLab liaison for GitLab questions, issues, or escalations
• Own a book of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction

Requirements include:

• Understanding of Git and typical branching strategies
• Knowledge of software development lifecycle and development pipeline
• Understanding of continuous integration, continuous deployment, DevSecOps
• Prior experience in Customer Success or equivalent history of increasing satisfaction, adoption, and retention
• Experience partnering with customers to define and achieve business outcomes
• Familiarity working with customers of sizes relevant to the assigned segment
• Exceptional verbal, written, organizational, presentation, and communications skills
• Detailed oriented and analytical
• Strong team player but self-starter
• Project management experience & skills
• Strong technical, analytic, and problem-solving skills
• Alignment with our values, and willingness to work in accordance with those values
• Willingness to travel if needed and comply with the company's travel policy
• Fluent German

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You will work closely with executive stakeholders during the pre-sales process, offering strategic guidance on how GitLab can support secure software delivery, modernization efforts, and platform adoption across complex environments.

In this role, you will combine technical depth with executive level customer communication. You will build relationships with customer and prospect leaders such as Chief Information Security Officers, Chief Security Officers, Chief Technology Officers, and chief security architects, while also partnering across GitLab with sales, marketing, and product teams.

Your perspective from the field will help shape customer conversations, influence go-to-market strategy, and inform how GitLab continues to serve public sector organisations.

Engage with customers in a technical consulting and advisory role during the pre-sales process, providing technical assistance and strategic guidance.

Deliver executive-level thought leadership on DevSecOps, security, and compliance for strategic public sector opportunities, including new and growth accounts.

Build and maintain relationships with customer leaders such as Chief Information Security Officers, Chief Security Officers, Chief Technology Officers, and chief security architects.

Partner with the marketing team to develop content and support media engagement opportunities that increase awareness of GitLab in the public sector market.

Educate customers on the value of the GitLab platform and related technologies, and support conversations across multiple levels of the organisation to help enable successful deployment.

Assist with requests for information and responses related to government publications and public-private partnership opportunities.

Participate in and contribute to working groups connected to government publications, standards, and demonstrations.

Curate and communicate public sector field feedback, collaborate on prioritisation with marketing and product teams, and contribute to sales strategy, playbooks, enablement, and reusable technical content for the field (podcasts, etc).

Significant experience in DevSecOps, AI and AI policy in government, information technology security, or closely related areas.

Experience selling to, supporting, or working within the public sector.

Experience creating technical marketing content and materials independently.

Experience delivering security, cybersecurity, compliance-related solutions, or assessments.

Knowledge of software development tools, practices, methodologies, and the end-to-end software development lifecycle.

Understanding of continuous integration and continuous deployment, along with modern software development or operations practices.

Experience with cloud computing and related technologies and practices.

Strong verbal, written, and presentation skills, with the ability to communicate technical strategy effectively to audiences ranging from executives to engineers.

Ability to coordinate across time zones and adapt schedules to customer and internal stakeholder needs.

Experience in technical pre-sales or a comparable customer-facing information technology role.

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You'll serve as a trusted advisor to a portfolio of customers, guiding them on Git, branching strategies, software development lifecycle, continuous integration, continuous deployment, and DevSecOps best practices.

In this role, you'll connect customer goals with GitLab capabilities, lead workshops and Centres of Excellence efforts, and translate product usage data into clear, actionable recommendations for both customers and GitLab account teams.

You'll collaborate closely with Product Management, Engineering, Sales, and Professional Services, with success in your first year measured by customer satisfaction, retention, and the strength of the strategic relationships you build.

Responsibilities

• Build and maintain a trusted advisor relationship with each assigned customer, focusing on adoption, measurable outcomes, and long-term satisfaction with GitLab.

• Assist customers with expert deployment guidance, operational best practices, and establishing a GitLab Centre of Excellence within their organisation.

• Lead and participate in workshops to help customers understand and use the full value of the GitLab solution across their software development lifecycle.

• Measure and monitor customers' progress against critical and key performance indicators, and share insights with GitLab account stakeholders and customer sponsors and executives.

• Translate customer product usage data into clear, actionable recommendations that drive adoption and expansion of GitLab within customer environments.

• Establish and manage regular touchpoints with customers in line with service level agreements to review strategic and technical objectives and adjust plans as needed.

• Collaborate closely with Product Management, Engineering, Sales, and Professional Services to streamline issue resolution, share customer feedback, and align on customer success plans.

Requirements

• Experience in a customer-facing role focused on post-sales adoption, value realisation, and advocacy.

• Background in customer success, professional services, technical account management, or a related function with direct customer engagement.

• Ability to understand and discuss Git, common branching strategies, and how customers use version control in their workflows.

• Knowledge of the software development lifecycle, including typical development pipelines and tooling.

• Familiarity with continuous integration, continuous deployment, and DevSecOps concepts and practices.

• Skill in translating product usage data and technical details into clear, actionable insights for both technical and executive stakeholders.

• Proven ability to build trusted advisor relationships, facilitate workshops, and guide customers through best practices and operational change.

• Openness to learning, with transferable skills from adjacent roles or industries that support collaborative, outcome-focused customer partnerships.

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You'll partner closely with customers after the sale to turn pre-sales command plans into concrete success plans, guide them along the customer journey, and drive hands-on enablement, adoption, utilisation, and maturity.

Reporting into the APJ Customer Success organisation, you'll own a book of customers, act as their primary GitLab liaison for questions and escalations, and coordinate with Product Management, Engineering, Sales, Professional Services, and Support so customers can navigate complex technical and organisational challenges with confidence.

You'll use your understanding of Git, software development lifecycles, and continuous integration, continuous deployment, and DevSecOps practices to help customers adopt best practices and stay current with new GitLab capabilities.

In your first year, success looks like building strong, consultative relationships with key stakeholders, increasing adoption of the GitLab platform, and strengthening retention, growth, and customer satisfaction across your portfolio.

Responsibilities

• Partner with customers to translate pre-sales command plans and desired business outcomes into actionable objectives and clear success criteria.

• Guide customers on how to best use the GitLab platform, including common DevSecOps best practices, Git workflows, CI/CD, and adoption patterns.

• Own a book of customers and drive adoption, retention, expansion, and overall satisfaction through ongoing strategic and technical engagement.

• Build and maintain Customer Success Plans, define critical goals and key performance indicators, and track progress with customers over time.

• Act as the primary GitLab liaison for assigned accounts, coordinating responses to questions, issues, and escalations across Support, Product Management, Sales, and Professional Services.

• Provide hands-on technical enablement and onboarding, including education on new GitLab features, releases, and relevant use cases.

• Program manage account escalations, ensuring root causes are understood, follow-up actions are owned, and stakeholders are informed.

• Collaborate with Services and other internal teams to identify and recommend training, enablement, and maturity opportunities aligned to customer needs.

Requirements

• Practical understanding of Git, common branching strategies, and modern software development lifecycles.

• Working knowledge of continuous integration, continuous deployment, and DevSecOps practices.

• Experience partnering with customers to define business outcomes and translate them into actionable success plans, key goals, and measures.

• Background in customer success, post-sales, or professional services roles focused on adoption, retention, and satisfaction.

• Ability to manage a portfolio of customers, including handling escalations and coordinating across Support, Product Management, Sales, and Professional Services.

• Strong communication, presentation, and organisational skills, with attention to detail and analytical thinking.

• Experience planning and managing projects or initiatives in technical environments, including identifying training and enablement needs.

• Alignment with GitLab's values and interest in applying transferable skills from related roles or industries, with flexibility to travel as needed according to company policy.

About the Team

We are part of GitLab's Customer Success organisation. Our mission is to help customers align the GitLab platform with their business objectives through hands-on technical enablement, driving adoption, utilisation, and DevSecOps maturity while building strong, consultative relationships.

As Customer Success Architects, we act as trusted advisors and key liaisons between customers and the broader GitLab ecosystem, collaborating closely with Product Management, Engineering, Sales, Support, and Professional Services to address questions, guide roadmaps, and navigate escalations.

We work in an all-remote, asynchronous way, coordinating across time zones to support a focused set of strategic accounts and ensure long-term customer success.

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The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimising hardware utilisation for efficient training, and performing model optimisations.

As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission.

Key responsibilities include:

• Implementing and refining DL pipelines on distributed computing platforms to enhance the speed and efficiency of DL operations, including model training, data handling, model management, and inference.
• Collaborating closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines created are perfectly aligned with scientific goals and operational needs.
• Continuously monitoring, evaluating, and optimising DL model training pipelines for performance and scalability.
• Staying up to date with the latest advancements in AI, ML, and related technologies, and quickly learning and adapting new tools and frameworks, if necessary.
• Developing and maintaining robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Driving performance improvements across our stack through profiling, optimisation, and benchmarking. Implementing efficient caching solutions and debugging distributed systems to accelerate both training and evaluation pipelines.
• Acting as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must-haves include:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerisation technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimising workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines.

Nice-to-haves include:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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Key Responsibilities:

• Specify, source, and manage specialist IT hardware for applications such as Realtime simulation hardware, Image generator graphics PCs, Edge computing hardware, and Compute resource Servers.
• Improve quality across all existing specialist IT systems such as Pipeline build agents, Hardware in the loop testing systems, and Simulation compute resource.
• Manage network configurations to facilitate secure, reliable performance of Image generator graphics PCs, Database and deployment services, and Package repositories.
• Work with IT suppliers to design secure IT systems across multiple sites.
• Support our use of modern software platforms and integrate to facilitate fast, robust software development and deployment: Azure DevOps repositories and pipelines, Jira and Confluence, and Docker.
• Manage software licensing (FlexNet).
• Work with customers to safely and quickly integrate our Motion Generators and accompanying IT hardware on site.

Essential Skills and Qualifications:

• Enthusiasm and ownership.
• Experience managing IT infrastructure.
• Understanding of network security and edge device management.
• Experience with Microsoft services such as Office 365, Azure Portal, and Azure Active Directory.
• Experience with software platforms and services for continuous deployment such as GitLab, BitBucket, or Azure DevOps.

Why join Dynisma?

Dynisma is growing rapidly, and we are looking for outstanding people across all parts of the business to help build our future. The culture is flat, with hands-on application, innovation, and experimentation constantly in mind. Benefits include a competitive basic salary, pension, life insurance, private medical insurance, 25 days holiday, Cycle to work, and electric car vehicle schemes.

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We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. Our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being.

Our ETF development team is part of the Aladdin Engineering group. We manage a software platform that oversees the global iShares investment process. Together, we develop cutting-edge technology that transforms the interaction between information, people, and technology for global investment firms.

As a member of Aladdin Engineering, you will be working in a fast-paced and highly complex environment, collaborating with cross-functional teams in a multi-office, multi-country environment to define, design, and ship high-quality software solutions.

Responsibilities:

• Design, develop, deliver, and maintain applications with focus on high efficiency, high availability, concurrent and fault-tolerant software
• Demonstrate technical leadership of software design & architecture to support strategic product roadmap
• Collaborate with project managers, technical leads, and business analysts to contribute throughout the SDLC cycle
• Manage stakeholders for driving business decisions, negotiating priorities, and partner with various business teams to drive strategy and technology adoption
• Ensure scale, resilience and stability through risk identification and mitigation, quality code reviews, creating robust test suites, and providing level two support

Skills & Experience:

• Hands-on programming experience in Java and/or Python with OO skills and design patterns
• Exposure to building microservices and APIs ideally with Kafka or gRPC
• Experience working with relational and NoSQL databases (such as SQL Server, Apache Cassandra)
• Experience with DevOps, continuous integration, and continuous deployment (CI/CD) pipelines, and tools like Azure DevOps
• Strong problem-solving, analytical, and software architecture skills
• Experience in partnering with other teams, sponsors, and user groups who are on the same product journey
• Ability to work in Agile/Scrum development environments with strong teamwork, communication, and time management skills
• Innovative and a thought leader around new/cutting-edge technologies

Nice to Have:

• Exposure to and innovative thinking around AI workflows and code generation
• Experience with financial applications
• Experience with cloud native tools (such as Kubernetes, Docker) and cloud platforms (such as Azure, AWS, or GCP)
• Exposure to high scale distributed technologies such as Kafka, Ignite, Redis
• Experience or real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions

Qualifications:

• B.S. / M.S. college degree in Computer Science, Engineering, or related subject area
• 3+ years of hands-on development exposure

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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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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As an Enterprise Product Engineer at Cursor, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.
• Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.
• Analyse customer needs and develop solutions that meet their requirements.
• Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.
• Develop and maintain high-quality code that is scalable, maintainable, and efficient.
• Participate in code reviews to ensure that the codebase is of the highest quality.
• Stay up-to-date with the latest technologies and trends in the industry.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a recognised leader in the AI industry.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools.
• Opportunities for professional growth and development.

What we're looking for

• 3+ years of experience in software development, preferably in a product engineering role.
• Strong understanding of software development principles, patterns, and best practices.
• Experience with Agile development methodologies and version control systems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with cloud-based technologies and containerisation.
• Familiarity with machine learning and AI concepts.
• Experience with design thinking and user-centred design.
• Strong understanding of security principles and best practices.
• Experience with DevOps practices and tools.
• Familiarity with testing frameworks and methodologies.
• Experience with continuous integration and continuous deployment.
• Strong understanding of scalability and performance optimisation.
• Experience with monitoring and logging tools.
• Familiarity with containerisation and orchestration.
• Experience with cloud-based storage and databases.
• Familiarity with security frameworks and best practices.
• Experience with compliance and regulatory requirements.
• Familiarity with industry standards and best practices.

Preferred skills

• Experience with Python, Java, or C++.
• Familiarity with cloud-based platforms such as AWS or Azure.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.
• Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.
• Experience with design thinking and user-centred design tools such as Sketch or Figma.
• Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.
• Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Familiarity with monitoring and logging tools such as Prometheus or Grafana.
• Experience with security frameworks and best practices such as OWASP or NIST.
• Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.
• Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.

Salary range

£80,000 - £120,000 per annum.

Category

Engineering.

Industry

Technology.

Experience level

Mid.

Employment type

Full-time.

Workplace type

Remote.

Required skills

• Software development principles, patterns, and best practices.
• Agile development methodologies and version control systems.
• Problem-solving skills and attention to detail.
• Communication and collaboration skills.
• Cloud-based technologies and containerisation.
• Machine learning and AI concepts.
• Design thinking and user-centred design.
• Security principles and best practices.
• DevOps practices and tools.
• Testing frameworks and methodologies.
• Continuous integration and continuous deployment.
• Scalability and performance optimisation.
• Monitoring and logging tools.
• Containerisation and orchestration.
• Cloud-based storage and databases.
• Security frameworks and best practices.
• Compliance and regulatory requirements.
• Industry standards and best practices.

Preferred skills

• Python, Java, or C++.
• Cloud-based platforms such as AWS or Azure.
• Containerisation and orchestration tools such as Docker and Kubernetes.
• Machine learning and AI frameworks such as TensorFlow or PyTorch.
• Design thinking and user-centred design tools such as Sketch or Figma.
• Testing frameworks and methodologies such as JUnit or PyUnit.
• Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Monitoring and logging tools such as Prometheus or Grafana.
• Security frameworks and best practices such as OWASP or NIST.
• Compliance and regulatory requirements such as GDPR or HIPAA.
• Industry standards and best practices such as ISO 27001 or PCI-DSS.

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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

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

IT

Compensation

• $257K – $327K • 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

SaaS Enablement & Governance (SEG) sits within IT and owns the end to end SaaS and software lifecycle across the company, with a clear mandate to deliver strong governance without creating friction for the business. The team partners closely with Security, GRC, Procurement, Finance, Legal, and Engineering to ensure software is selected, approved, provisioned, and operated with clear standards for security, compliance, cost discipline, and operational clarity.

About the Role

We are seeking a Head of SEG to build and scale the company’s SaaS operating model. You will set strategy and execution across portfolio optimization, intake and approval, onboarding, enablement, and lifecycle governance, with clear ownership from adoption through decommissioning.

Responsibilities

Set direction and establish strong foundations

• Own the enterprise SaaS governance mandate as the company scales in size, regulatory exposure, and architectural complexity

• Define the enterprise SaaS portfolio strategy to drive disciplined growth, reuse, and risk reduction

• Establish clear standards for data handling, access control, and lifecycle ownership across the SaaS ecosystem

Build, operate, and scale reliably

• Bring operating discipline to SaaS lifecycle management, including intake, expansion, renewals, and decommissioning

• Establish trusted visibility into SaaS portfolio composition, TCO, ownership, and risk posture

• Ensure governance maturity aligns with audit, regulatory, and security expectations

Automate for leverage and safety

• Replace manual, exception driven governance with scalable, policy encoded operating mechanisms

• Ensure governance standards remain enforced as adoption scales and use cases expand

• Deliver executive level transparency into portfolio risk, utilization, and cost trends

Enable reuse at scale

• Ensure approved platforms are adopted quickly and consistently

• Reduce net new tool proliferation through strong enablement and clear portfolio standards

• Support controlled use case expansion without introducing unmanaged risk

Partner and lead through influence

• Align Security, Finance, Legal, Engineering, and Procurement around a single SaaS governance model

• Navigate tradeoffs between speed, cost, and risk

Requirements

• 10+ years of experience in SaaS operations, IT, or a related field

• Proven track record of building and scaling SaaS operating models

• Strong understanding of SaaS governance, security, and compliance

• Excellent leadership and communication skills

• Ability to navigate complex technical and business tradeoffs

Preferred Qualifications

• Experience with cloud-based SaaS platforms

• Familiarity with DevOps and continuous integration/continuous deployment (CI/CD) pipelines

• Knowledge of security and compliance frameworks, such as NIST and HIPAA

• Experience with data analytics and business intelligence tools

What We Offer

• Competitive salary and benefits package

• Opportunity to work with a cutting-edge technology company

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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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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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.

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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.

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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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You'll be responsible for the Ebene-2-Testing of the Infotainment & Connect Systems. You'll be part of an engaged, dynamic team with numerous interfaces to our national and international testing partners. Our focus is on the security of the different Connect- & Infotainment-functions, the development of the test infrastructure, the implementation of automation and simulation solutions, and the optimization of test processes. We use modern methods like CI/CD-pipelines and AI to ensure the highest quality and efficiency.

What you need

Your main areas of focus will be:

• Development of the test infrastructure
• Automation and simulation projects, including modern test procedures and CI/CD processes
• Work with international teams
• Software development and test processes

Why this matters

This role is part of a world-championship-winning F1 team. When equipment fails, races can be lost, so your work directly impacts performance. You'll develop deep expertise in high-spec facilities and have clear progression into senior facilities management roles. The F1 environment means you'll work with cutting-edge building systems and learn from the best in the industry.

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