Product Manager, Safe Access

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.

As Claude reaches more people, including individuals, businesses, developers building on our APIs, and the platforms and resellers building on top of those, knowing who is on the other side of a request and what they are allowed to do becomes foundational to running our products responsibly. Creating a centralized identity, verification, and access system that every Claude surface draws on is important to accomplishing our mission.

We are hiring a Product Manager to own the safe access. The primitives are the building blocks the rest of Anthropic uses to manage access to models and capabilities: access programs, accounts, organization linking, verifications, user APIs for platforms, and the internal tooling teams use. You will own the end-to-end product experience and strategy for internal and external access,, across every surface.

This is a role for a strong executor with the ability to be agile in shipping in a 0-1 product space. Safe access is a new product that sits on the critical path of every model launch and every access program. Requirements arrive from many organizations at once, and most weeks you will be the person defining the problem rather than receiving it.

Key responsibilities

Minimum qualifications

• Own the product strategy and roadmap for the account and access primitives, with the goal that any team at Anthropic can provision access or run an access program with minimal support. This is highly ambiguous and requires a lot of cross team coordination and deep understanding of the systems of today.
• Own the end-to-end experience of getting and managing access for internal stakeholders (research, model launches, safeguards, go-to-market) and for external customers and partners, and keep it consistent across every surface. This requires thinking through many user types, with vastly different experiences.
• Support the API designs and the UX of the access APIs that platforms, resellers, and internal services integrate with. Work through the designs with engineering and make calls on the primitives yourself.
• Partner with the trusted access and verification product managers so that new programs compose from shared primitives rather than one-off builds.
• Coordinate across the product, safeguards, legal, and go-to-market teams, and drive alignment when their requirements conflict.
• Are a strong executor with a track record of shipping through ambiguity and cross-organization dependencies.
• Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you are making.
• Have owned a developer platform, identity, authorization, or access-management product end to end, and were the person accountable for its outcomes (for most people this means five or more years as a PM, but we care about the ownership, not the years).
• Care about Anthropic's mission, and specifically about scaling access to Claude safely.

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.

• 8+ years of product management experience
• Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top
• Built account, identity, or subscription systems that span more than one product
• Taken a product from zero to one, where the users, the product, and the requirements all had to be worked out at once

$305,000—$385,000 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.

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.