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Responsibilities

• Draft, review, negotiate, and close complex commercial agreements with customers, suppliers, and strategic partners.
• Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives.
• Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment.
• Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices.
• Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation.
• Contribute to scaling the Legal Team's commercial function, fostering a collaborative, solutions-oriented team culture.

Who you are

• Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products.
• Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions.
• Comfortable working independently while collaborating effectively with cross-functional and global colleagues.
• Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success.

What you bring

• JD with active membership in at least one U.S. state bar (New York preferred).
• 6-12 years of relevant legal experience (in-house experience with technology or SaaS companies strongly preferred).
• Proven track record drafting and negotiating complex commercial and technology agreements.
• Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property.
• Experience advising on privacy, cybersecurity, and cross-border data transfer issues.
• Excellent communication, stakeholder management, and problem-solving skills.

Location

This role is remote and can be executed in the United States.

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Responsibilities:

• Integration of character assets and cinematics into the game engine
• Design, create and test character rigs
• Research and share knowledge of existing engines and animation packages within the industry
• Interact and collaborate with different teams (the art team, designers and programmers) to fulfill tasks according to production plan
• Design, create and test character rigs
• Maintain and test animation tools and pipelines
• Apply and maintain consistency for exported characters, props, and animations throughout the entire project
• Develop progressive techniques and process to solve character and animation challenges
• Proactive in problem identification and creating solutions
• Interact and collaborate with the different departments (Art, Programming, Production, etc.)

Qualifications:

• Solid technical animation experience in multiple shipped titles
• Expertise in rigging and skinning assets
• Good understanding of animation principles and anatomy
• Experience with Motion capture and data transfer
• Ability to understand technical implementations and limitations
• Proficient with standard industry tools like Motion Builder, 3ds Max, Photoshop
• Excellent problem solving skills
• Demonstrates the independency, efficiency and commitment to projects/tasks - A good team player with strong cross-group communication skills
• Good learning ability, looking for improvements consistently
• A gamer with the passion and confidence of creating top-quality games
• Fluent in English, both verbal and written or having the willingness to learn and improve
• Plus: Experience in MEL, Python, C# or C++ is a Plus

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You'll be a subject matter expert on copyright, privacy, and related issues pertaining to data used to develop frontier AI models, while also counselling on compute infrastructure considerations including data localisation and cross-border data flows. You may also support our Alignment, Frontier Red-Teaming, Policy, and Societal Impacts teams to ensure safe, responsible AI development.

The ideal candidate will have experience navigating complex legal challenges globally in a fast-moving technical environment, as well as translating legal requirements into creative and practical solutions for pioneering AI research and development.

Responsibilities:

• Advise Research teams on permissible data usage and partner with them on data sourcing strategy, maintaining and evolving our data acquisition frameworks, and supporting Research and Data Operations requests
• Counsel the Compute team on relevant legal considerations including data localisation requirements, cross-border data transfers, privacy implications, and copyright considerations for compute infrastructure, partnering with internal subject matter experts as needed
• Monitor regulatory developments related to AI training data and compute operations, adapting internal policies and practices proactively to ensure compliance across jurisdictions
• Translate data and model development implications between research teams and Legal & Policy stakeholders, serving as a bridge between technical and legal functions
• Engage with academics, industry groups, and other stakeholders to develop norms and best practices around data governance for AI development
• Support Anthropic's Alignment and Frontier Red-Teaming teams to advance their research on AI safety and model vulnerabilities, including advising on vendor engagements, external collaborations, and data usage

You may be a good fit if you have:

• A JD and active membership in at least one U.S. state bar (California preferred)
• At least 8 years of relevant legal experience, with meaningful experience advising on data localisation and cross-border data transfer frameworks, copyright, privacy, data, and related issues for technology companies or AI/ML products (in-house experience preferred)
• A creative, practical problem solver attitude with a passion and capacity for translating and applying legal requirements to technical concepts related to model development. You understand the importance of enabling innovation while developing responsibly and mitigating risks
• Experience advising on legal issues for AI products or services and academic research, with knowledge of the machine learning development lifecycle
• Excellent written communication skills, with the ability to draft clear policies, whitepapers, and other content. You enjoy engaging with stakeholders to evangelise best practices
• An understanding of how to achieve the right balance between the organisation's mission and goals, knowing when to be flexible and when to draw a hard line
• An enjoyment of wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory
• A 'doer' mentality and are willing to roll up your sleeves to get things done. You're a team player who doesn't hesitate to jump in to solve difficult problems
• Exceptional communication and analytical skills, technical fluency, and ability to navigate ambiguous and uncharted legal territory
• A growth mindset and epistemic humility with a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations. Commitment to building trustworthy, ethical AI systems

Strong candidates may have:

• In-house or similar experience at a global law firm
• Experience counselling on compute infrastructure or cloud services legal issues
• Experience in a tech company or other fast-paced environment

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$265,000 - $320,000 USD

Logistics

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

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

We encourage you to apply even if you do not believe you meet every single qualification in the job description. We are looking for talented individuals who are passionate about AI and want to join a team that is working to make a positive impact on the world.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Security

Compensation

• $230K – $325K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

OpenAI’s Privacy Engineering team sits at the intersection of Security, Privacy, Legal, and Core Infrastructure. Our mission is to build data infrastructure and systems to support our privacy, legal, and security teams—securely, quickly, and at scale. Our guiding principles include: defensibility by default, enabling researchers, preparing for future transformative technologies, and building a robust security culture.

About the Role

We’re looking for a Software Engineer who can design and operate technical systems that support legal compliance workflows, including secure data processing and document review. You’ll partner daily with Legal, Security, IT, and partner engineering teams to turn legal processes into concrete technical workflows. This role is ideal for an engineer who loves large-scale data problems and understands the rigor required when the results may be scrutinized.

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

In this role, you will:

• Design and operate data storage pipelines that can operate at scale.

• Build search & discovery services (e.g., Spark/Databricks, index layers, metadata catalogs) based on the needs of partner teams.

• Automate secure data transfers—encrypting, checksumming, and auditing exports to reviewers.

• Stand up locked-down compute environments that balance usability with security controls.

• Instrument monitoring and KPIs that maintain accountability of data holds and productions.

• Collaborate cross-functionally to codify SOPs, threat models, and chain-of-custody documentation that withstand scrutiny.

You might thrive in this role if you:

• Have hands-on experience building or operating large-scale data-lake or backup systems (Azure, AWS, GCP).

• Know your way around Terraform or Pulumi, CI/CD, and can turn ad-hoc legal requests into repeatable pipelines.

• Comfortable working with discovery workflows (legal holds, enterprise document collections, secure review) or eager to build expertise quickly.

• Able to communicate technical concepts — from storage governance to block-ID APIs — clearly to teams such as Legal, Engineering, and others.

• Have shipped secure solutions that balance speed, cost, and evidentiary defensibility—and can articulate the trade-offs.

• Communicate crisply, document rigorously, and enjoy working across disciplines under tight deadlines.

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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