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
Sample projects include
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
You may be a good fit if you
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
Strong candidates may also have
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.
Annual Salary
$365,000—$435,000 USD
Logistics
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
How we're different
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.
