This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines.

Responsibilities:

• Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines
• Lead infrastructure security programs – Manage programs like cluster hardening, service boundary enforcement, and security observability that protect our most sensitive assets including model weights and training infrastructure
• Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organisations
• Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles
• Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives
• Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes
• Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks

You may be a good fit if you:

• Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders.
• Have experience executing technical programs that require systems and engineering-level knowledge.
• Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance.
• Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organisational challenges.
• Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries.
• Have strong interpersonal skills that enable you to influence without authority, build cross-organisational support, cooperation and action around security initiatives, policies and procedures.
• Have a track record for being able to successfully organise, implement and manage complex programs and projects.
• Are used to working through trade-offs, balancing competing priorities, and having your mind changed.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will always have an @anthropic.com email address.

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San Francisco

Employment Type

Full time

Department

Compensation

• $240K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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 User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. 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 seeking a dynamic support strategy operator to drive strategic and operational initiatives across OpenAI’s customer support/user operations landscape. In this role, you will work closely with leaders in User Operations and across the company to help scale, mature, and optimize our support operations. Your work will span a range of strategic initiatives aimed at enhancing the customer experience and driving operational excellence, ensuring that our support organization can sustainably scale with the business's growth.

You’ll be responsible for deeply understanding our organization and priorities – where we’re at, where we’re going – and will work relentlessly towards planning and executing on our vision to provide best-in-class support. This role is not “creating and executing playbooks”. AI has and will continue to fundamentally change the customer experience and the way we build tools and organizations; this role requires a proactive, strategic planner and executor that can think ten steps ahead, defining the future of customer support at OpenAI and in the world.

In this role, you will:

• Work within User Operations and across OpenAI to leverage AI/LLMs across the organization. While this role goes beyond just leveraging technology, it will be at the root of this role (as it is the root of our company)

• Collaborate with leaders to identify, evaluate, and prioritize new strategic and operational initiatives, ensuring alignment with company goals and unique organizational objectives

• Thrives in chaos, and relentlessly drives program structure conducive to progress and execution.

• Work with product, engineering, and data teams to uncover and address key operational challenges and growth/scaling opportunities within the support organization, such as automation, process optimization, and enhanced self-service options.

• Deep dive into the critical drivers of our support operations and identifying opportunities for optimization and innovation.

• Partner with other members of the go-to-market organization, product, and partnerships to launch new initiatives – helping think through strategic impacts, executing on operational components, and driving change management.

You might thrive in this role if you:

• Have 8+ years of experience in business operations, strategy, venture capital, private equity, consulting. You have a history of high impact work in a technical environment.

• Are non-traditional – this role will require leveraging technology and concepts that are not yet established in the world (some of which you will produce yourself). “Traditional” operations may not fully apply here

• Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors.

• Have extensive experience in taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans.

• Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions.

• Are highly analytical, with strong skills in data modeling and operational forecasting to drive insights and decision-making.

• Possess excellent communication and collaboration skills and are skilled in influencing stakeholders across all levels of the organization.

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