The impact you will have:

• Lead and grow an engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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

In this role, you will:

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

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

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

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

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

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

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The successful candidate will participate in operations and scaling of relational data platforms, develop a stream processing architecture, and improve the performance, security, reliability, and scalability of our data platforms and related services. They will also establish guidelines, guardrails for data access and storage for stakeholder teams, and ensure compliance with standards for data protection regulation.

In addition to technical skills, the ideal candidate will be able to grow, change, invest in their teammates, be invested-in, share their ideas, listen to others, be curious, have fun, and be themselves. CoreWeave values diversity and inclusion, and encourages candidates from all backgrounds to apply.

Key responsibilities:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs

• Participate in operations and scaling of relational data platforms

• Develop a stream processing architecture

• Improve the performance, security, reliability, and scalability of our data platforms and related services

• Establish guidelines, guardrails for data access and storage for stakeholder teams

• Ensure compliance with standards for data protection regulation

• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and be yourself

Requirements:

• 5+ years of experience in a software or infrastructure engineering industry

• Experience operating services in production and at scale

• Familiarity with one of the distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka

• Experience with designing and operating these systems at scale

• Familiarity with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration

• Proficiency in Go/Python/Java and interested in contributing to open source

ExperienceLevel: senior

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As a member of our legal team, you will play a pivotal role in negotiating and drafting high-stakes agreements involving AI technologies, licensing, and partnerships. You will also mitigate copyright risks in a rapidly evolving legal landscape and shape scalable licensing models that reward creators and ensure sustainable access to high-quality knowledge.

This role is ideal for a proactive, business-oriented attorney who thrives in a fast-paced environment and wants to define the future of AI and copyright law.

Key responsibilities include:

• Leading and supporting negotiations for inbound and outbound licensing agreements, data acquisitions, and content partnerships
• Drafting, reviewing, and finalizing contracts to ensure legal compliance and alignment with business objectives
• Advising internal stakeholders on copyright risks, rights clearance, and best practices for content usage

You will also monitor copyright litigation, regulatory developments, and industry trends to identify risks and opportunities. You will develop and implement strategies to mitigate copyright-related risks, including fair use analyses and rights clearance processes.

In addition, you will act as the primary legal contact for copyright-related matters, providing clear and actionable guidance to product, engineering, and research teams. You will ensure compliance with French and European copyright laws, as well as international standards where applicable.

To succeed in this role, you will need to have a Master's degree in law from a top European law school and 10+ years of experience, including substantial in-house legal experience in tech, media, or AI-related industries, and previous experience as a copyright or contract negotiation attorney in a tier-1 law firm.

You will also need to have technical proficiency in Copyright, including experience with digital content, data licensing, and AI-related legal issues and a solid understanding of French and European copyright law, with experience navigating complex legal frameworks related to digital content, data licensing, and AI technologies.

Required skills include:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work effectively in a fast-paced environment
• Strong attention to detail and organizational skills

Preferred skills include:

• Experience with AI/ML technologies
• Knowledge of US copyright law
• Open-source licensing

Benefits include:

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gympass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship

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We believe the future of financial software is infrastructure that works on your behalf. Mercury's API is how our most ambitious customers interact with us programmatically: pulling transaction data, managing accounts, and increasingly, connecting Mercury to AI-powered workflows through integrations like MCP.

We're looking for a product manager to own Mercury's API, our integrations with the broader AI and developer tool ecosystem, and the AI-powered product experiences we're building to make Mercury programmable and intelligent. This is a role for someone who's been building in the API and AI space already and who sees the opportunity to make a bank programmable as one of the most interesting product problems available right now.

As part of the journey, we would expect you to:

• Own the roadmap for Mercury's API and drive it from niche, read-heavy usage toward a comprehensive platform that enables customers to build on top of Mercury.
• Define Mercury's strategy for connecting to the broader ecosystem of AI tools and developer platforms including how we expose capabilities, what integrations we prioritize, and how we become a first-class citizen in agentic workflows.
• Lead the product vision for how AI transforms the way people interact with their finances inside Mercury: from asking questions about their business to taking action on their behalf.
• Develop a deep understanding of how Mercury's most technical customers use our API today, and what they're trying to do that they can't yet.
• Partner with engineering to make hard technical tradeoffs about API design, data access, and capabilities: you should be able to hold your own in these conversations.
• Work closely with Mercury's growth and partnerships teams to ensure our API and AI products are a competitive advantage in acquisition and retention.
• Navigate a high-velocity environment where leadership cares deeply about this space and expects you to move fast and think originally.

Some things that might make you successful in a role like this:

• You're genuinely excited about what's happening in AI right now and are actively building with these tools. You have side projects. You have opinions about where agents are going. You've used MCP. You're not waiting for someone to tell you what's possible.
• 7+ years of product management experience, with meaningful time spent building API products, developer tools, or AI-powered products. You've worked on things that are largely invisible to end users but critically important to the people who use them.
• You understand what it means to build for developers and technical users.
• You thrive in a culture where leadership is deeply engaged.
• You can take a nascent product area with real traction and turn it into a coherent strategy with a clear roadmap.

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

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

• US employees (any location): $200,700 - $250,900
• Canadian employees (any location): CAD 189,700 - 237,100

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This role supports data integrity, metadata, and access controls to help ensure data is accurate, consistent, and fit for purpose. This is a hands-on role that requires strong technical fluency, structured problem-solving, and the ability to translate governance requirements into practical implementations within data systems.

Technical Skills:

• Working knowledge of data governance, data management, and data quality frameworks
• Experience supporting the implementation of data controls within data pipelines and reporting systems
• Advanced proficiency in SQL, Python, or other data query and analysis tools
• Proficiency with business intelligence and data visualization tools such as Looker, Power BI, or Tableau
• Experience with database design, including understanding complex data schemas and data extraction
• Familiarity with data lineage, metadata management, and data modeling concepts
• Ability to define and implement data quality rules and validation checks
• Understanding of data access principles, including role-based access and data classification
• Ability to document data processes and controls clearly and in a structured way

Complexity and Impact of Work:

• Oversee the data governance program, identify improvement areas, and implement best practices to enhance data quality, integrity, and security
• Develop and implement data quality standards and monitoring processes, including establishing data quality metrics and thresholds
• Assist in managing the data issue lifecycle, including tracking and supporting remediation efforts
• Manage the data governance platform (Atlan) and serve as the primary subject matter expert
• Assist in data classification efforts, including identifying and categorizing sensitive data and critical data elements
• Manage external data requests, including regulatory inquiries, ensuring compliance with banking regulations
• Monitor and report on key data governance metrics and KPIs, providing insights and recommendations to senior management
• Lead data governance meetings and workshops, facilitating discussions and decision-making to drive the data governance program forward

Organizational Knowledge:

• Have a deep understanding of Anchorage Digital’s strategy and business lines.
• Understand how data supports decision-making and operational processes across the organization
• Possess strategic thinking and vision, with the ability to develop and implement a comprehensive data governance strategy aligned with organizational goals and objectives

Communication and Influence:

• Able to communicate complex issues clearly and credibly to a wide range of audiences.
• Document data processes, controls, and findings clearly for internal stakeholders
• Build effective relationships and rapport with stakeholders, including cross-functional and external partners
• Communicate, organize, and execute cross-team goals and projects, leveraging relationships and resources to solve problems
• Collaborate with Data Platform, InfoSec, Product, and Engineering partners

You may be a fit for this role if you have:

• Bachelor’s degree required. Advanced degrees or certifications in data analytics or governance preferred
• 4–7 years of experience in data governance, data management, data quality, or data analytics
• Hands-on experience implementing or supporting data quality and governance practices
• Experience managing data classification, access controls, and external data requests
• Experience working with data pipelines, reporting systems, or analytical datasets
• Experience writing, editing, or reviewing technical documentation for regulatory or banking contexts
• Strong attention to detail, with a focus on accuracy, completeness, and consistency in data governance processes and controls
• Ability to work independently on defined tasks and contribute to team objectives
• Strong problem-solving skills and comfort working in structured, detail-oriented environments

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our teams are distributed between France, USA, UK, Germany, and Singapore.

Role Summary

We are seeking a Copyright Attorney to join our Legal team, focusing on data and content acquisitions for pre-training, post-training, RAG, and other AI applications. This is a new role, designed to provide legal support for the increasing number of licensing, data access, and partnership deals that fuel Mistral's AI models.

As a member of our legal team (based in Paris), you will play a pivotal role in:

Negotiating and drafting high-stakes agreements involving AI technologies, licensing, and partnerships. Mitigating copyright risks in a rapidly evolving legal landscape. Shaping scalable licensing models that reward creators and ensure sustainable access to high-quality knowledge.

This role is ideal for a proactive, business-oriented attorney who thrives in a fast-paced environment and wants to define the future of AI and copyright law.

Why Join Us?

Work on the latest legal issues around generative AI, model training, and platform liability. Join a high-impact, nimble, and fast-growing company that values autonomy and bold thinking. Your work drives real change, and you define your role. Draft and close transformative deals that shape the future of AI and content licensing. Deliver differentiated value to Mistral's B2B customers by integrating advanced reasoning with accurate, up-to-date knowledge. Co-build the knowledge economy by designing scalable licensing models that reward creators and ensure fair value distribution.

What You Will Do

Contract Negotiation & Drafting

Lead and support negotiations for inbound and outbound licensing agreements, data acquisitions, and content partnerships. Draft, review, and finalize contracts to ensure legal compliance and alignment with business objectives. Advise internal stakeholders on copyright risks, rights clearance, and best practices for content usage.

Copyright Risk Mitigation

Monitor copyright litigation, regulatory developments, and industry trends to identify risks and opportunities. Develop and implement strategies to mitigate copyright-related risks, including fair use analyses and rights clearance processes. Collaborate with external counsel and copyright collectives/agencies to resolve disputes and secure necessary permissions.

Stakeholder Engagement

Act as the primary legal contact for copyright-related matters, providing clear and actionable guidance to product, engineering, and research teams. Ensure compliance with French and European copyright laws, as well as international standards where applicable.

Compliance & Process Improvement

Develop internal policies, workflows, and training materials to educate teams on copyright issues and best practices. Contribute to Mistral AI's overall IP strategy, with a focus on copyright and data rights.

About You

Master's degree in law from a top European law school 10+ years of experience, including substantial in-house legal experience in tech, media, or AI-related industries, and previous experience as a copyright or contract negotiation attorney in a tier-1 law firm Technical proficiency in Copyright, including experience with digital content, data licensing, and AI-related legal issue and solid understanding of French and European copyright law, with experience navigating complex legal frameworks related to digital content, data licensing, and AI technologies. Demonstrated ability to negotiate and draft high-stakes agreements, including Licensing agreements (inbound/outbound), Data access and acquisition contracts, Partnership agreements and/or Software selling/buying contracts Dynamic and persuasive communicator, capable of building trust with internal teams and external partners and to simplify complex legal concepts for non-legal stakeholders (e.g., product, engineering, research teams). Comfortable acting as a bridge between legal, technical, and business teams to align objectives and mitigate risks. Strong ability to identify, analyze, and mitigate legal risks in a fast-evolving regulatory landscape and talent for translating legal constraints into actionable strategies that support business growth Thrives in a fast-paced, innovative environment where priorities and challenges evolve rapidly. Collaborative, low-ego, and eager to contribute to a cross-functional, international team. Proactive and resourceful, with a solution-oriented mindset and willingness to 'roll up your sleeves' to get things done. Commitment to responsible AI, including fairness, transparency, and accountability in content usages Knowledge of US copyright law, open-source licensing, or AI/ML technologies is a strong plus.

Benefits

Competitive cash salary and equity Food: Daily lunch vouchers Sport: Monthly contribution to a Gympass subscription Transportation: Monthly contribution to a mobility pass Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship

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$160K – $200K • 0.01% – 0.1% • Offers Commission

Head of Partnerships

You'll own the strategic partnerships that unlock access to the world's most valuable data for Firecrawl — negotiating licensing agreements, building relationships with major content and platform companies, and opening doors that don't have a "Contact Sales" button. This is a business development role at its core, but the deals you close will shape what Firecrawl can offer and how the product evolves.

Salary Range: $180,000–$220,000/year OTE (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)

Equity Range: Up to 0.10%

Location: San Francisco, CA (Hybrid; remote-friendly when needed)

Job Type: Full-Time (SF)

Experience: 5+ years in partnerships, BD, or licensing — ideally at a major tech or platform company

Visa: US Citizenship/Visa required for SF

About Firecrawl

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

What You'll Do

• Identify, pursue, and close strategic partnerships with major content owners, media companies, and platform businesses

• Negotiate data licensing and access agreements that expand what Firecrawl can offer its customers

• Build and maintain relationships with senior decision-makers at large organizations — legal, BD, product, and policy teams

• Develop the partnership strategy: who to go after, in what order, and why — then execute it

• Navigate complex deal structures involving legal, compliance, and data governance stakeholders

• Work closely with product and engineering to understand what data access unlocks and how partnerships translate into product value

• Represent Firecrawl in rooms where AI infrastructure and data access are being shaped

What We're Looking For

A proven dealmaker in tech. You've closed complex, high-stakes partnerships — not just warm-intro handshakes, but real agreements with legal review, commercial terms, and multiple stakeholders. You know how big organizations actually make decisions and you have the patience and persistence to navigate that.

Deep relationships in the right rooms. You have an existing network across major tech companies, media organizations, or platform businesses. You don't need to cold-start every conversation — you know people, and people take your calls.

Fluent in the AI landscape. You understand why data access matters in the age of LLMs. You can speak credibly about how AI companies use web data, what licensing means in this context, and why Firecrawl's position is unique. You don't need to write code, but you need to hold your own in technical conversations.

Comfortable selling a fast-moving startup to slow-moving enterprises. You've bridged the gap between startup speed and enterprise process before. You know how to create urgency without burning relationships and how to keep momentum through long deal cycles.

High agency with executive presence. You represent Firecrawl in rooms with senior leaders at large companies. You're polished enough to earn trust and scrappy enough to follow up relentlessly until the deal is done.

Backgrounds that often do well: BD or partnerships leads at major platform, social media, or tech companies. People who've negotiated content or data licensing deals. Senior BD at AI companies who've worked the data access side. Ex-founders who've closed enterprise partnerships through sheer force of will.

What We're NOT Looking For

Partnership managers who manage, not close. If your experience is maintaining existing partner relationships and running QBRs, this isn't the role. You'll be sourcing and closing from scratch.

AI tourists. If you can't explain why data licensing matters for LLMs or how web data powers AI applications, you'll struggle to have credible conversations with partners. You need genuine understanding, not talking points.

People who need a big brand behind them to open doors. You'll be representing a startup, not a household name. If your dealmaking depends on the logo on your business card rather than your own credibility and hustle, this won't be a fit.

A Note On Pace

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

Benefits & Perks

Available to all employees

• Salary that makes sense — $180,000–220,000/year OTE (U.S.-based), based on impact, not tenure

• Own a piece — Up to 0.10% equity in what you're helping build

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

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

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

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

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

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

Available to US-based full-time employees

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Software Engineer, Compute - Storage

Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $230K – $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

Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems’ capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.

About the Role

As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.

We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.

In this role, you will:

• Develop software to manage exascale data, and make it accessible to researchers

• Drive the reliability, predictability, and cost effectiveness of our storage systems

• Interface with researchers to understand and accommodate data use-cases

• Ensure the security of our critical datasets

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Are familiar with AI/ML data access patterns

• Bias for action and comfort building in a fast paced, dynamic environment

About OpenAI

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

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $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 Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAI’s products and allows our customers to deploy AI themselves.

About the Role

This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You’ll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work—from architecture and implementation to production operations and on-call responsibilities.

Responsibilities

• Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.

• Design, build, and maintain secure and compliant systems to process sensitive and valuable data.

• Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient.

• Integrate data access and authentication with our production model and agent systems.

• Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.

• Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents

Requirements

• Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.

• Are excited to bring the power of AGI to the infrastructure the world runs on today

• Are comfortable with ambiguity and rapid change

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

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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