Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic's enterprise business is growing fast, and enterprises are adopting Claude across product surfaces. Before they can deploy at scale, they need the same foundations everywhere: security and compliance controls, identity and access management, data governance, admin controls, and cost and spend management. This work is especially critical for customers in regulated industries (financial services, healthcare, public sector), whose security, privacy, and resilience requirements set the bar for everyone else.
We're looking for a Technical Program Manager to partner with the teams that own these enterprise foundations, own the planning and execution rhythm that gets each capability onto every surface, and contribute to a coherent leadership view of coverage, gaps, and progress across products. This is a senior role: product, engineering, and GTM leaders will look to you for where we stand on enterprise readiness and for the plan to close the gaps.
Responsibilities- Run the planning and operating cadence for the foundational-capability roadmap across surfaces: clear DRIs, sequenced dependencies, and a single source of truth on coverage and status for product, engineering, and GTM leadership
- Drive the highest-priority foundational capability programs end to end, from scoping and tradeoff decisions through delivery on every surface
- Shape the readiness bar for new products and features: what a surface must have in place before it reaches enterprise customers, and the call on in-flight features that are missing controls
- Work across teams and directly with customers: partner with sales, customer success, solutions, and support on active deals and escalations, join customer security and compliance reviews, and bring what enterprises are blocked on back to product and engineering
- Translate customer and regulatory requirements into technical programs: work with legal, compliance, and GTM to prioritize the highest-impact enterprise asks and map them to roadmaps with dates
- Take a regulated customer's security control assessment from findings to closed gaps, with owners and dates across product, security, and infrastructure
- Stand up a data residency program: gather requirements by market, what each surface must support, and sequencing with infrastructure
- Build the operating model for co-building with a large enterprise design partner: staffing, cadence, and how their asks reach the roadmap
- Extend healthcare compliance coverage to new product surfaces, with a migration path customers can actually take
- Have 8+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
- Have driven decisions among senior leaders with competing priorities, and are comfortable plainly articulating what is and is not ready for enterprise customers
- Have driven adoption of platform or horizontal capabilities across product teams that don't share a reporting line, where success depended on other teams building on what you shipped
- Understand what enterprises require before they adopt at scale, particularly for customers in regulated industries: security and compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP), identity and access (SSO, SCIM, RBAC), data governance (retention, residency, customer-managed keys), audit logging, and spend controls
- Have worked directly with regulated customers on their security reviews, questionnaires, audit findings, and contract redlines, and understand how control design, evidence collection, and engineering delivery fit together
- Thrive when the operating model itself is still being defined and see shaping it as part of the job
- Owned a HIPAA program end to end at a software company, including BAAs, PHI handling, and supporting product controls
- Worked with financial services customers on data retention, data residency, and encryption requirements (including retention and deletion commitments, regional hosting, customer-managed keys, and contractual evidence and attestations)
- Run a design partnership or co-build with a large enterprise customer
- Experience using Claude or other LLM tooling to automate program tracking and reporting
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.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
