Product Manager, Business Technology

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.

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.

We hire on demonstrated impact — what you have shipped and moved — not on scope owned, team size, or tenure.

Impact

• A track record of outcomes that affected a company-wide goal, with clear attribution to you, ideally on a platform, productivity, or collaboration product with a large user base (internal or external).
• You create clarity in chaos: you are the person people go to when no one knows what to do, and you relentlessly find the right answer rather than the assigned one.
• Velocity is a signature. You have driven a company-wide initiative to completion, and you can juggle several at once one goal that took all your capacity is not enough at this level.
• High craft is evident in what you ship; quality issues don't keep surfacing after launch.

Judgment

• You build for frontier AI. You have shipped products that leverage new model capabilities and you design for where capabilities are going, not just where they are.
• Others learn to build AGI-first by watching you. You are trusted to navigate difficult safety, privacy, and data tradeoffs, and you have slowed down or changed course for safety reasons before.
• Deep, systematic customer understanding. Customer voice shapes your strategy, and you are trusted on user tradeoffs.

Leadership

• You improve PM craft as a whole, not just your own output, and you uplevel the cross-functional people around you.
• People inside and outside product credit growth to you. Knowledge you create becomes org capability rather than staying in your head.
• You operate on behalf of the company, not your team.

Strong signals for this role specifically

• Experience building or scaling collaboration, workflow, or productivity platforms (e.g., internal tools at scale, workplace/collaboration SaaS, developer or knowledge platforms).
• Comfort operating inside an IT/Security org and partnering with engineering-heavy stakeholders.
• Product background that spans consumer-grade polish and enterprise-grade constraints (identity, permissions, data classification, auditability).
• Hands-on with Claude or other frontier models in building products, not just using them.

Why this role

• Genuine whitespace. First PM on the platform, first PM in Business Technology, dedicated engineering team, executive attention.
• A customer you can reach. Every user is a colleague. Discovery is a Slack message away, and feedback loops are measured in hours.
• Frontier leverage. You get to build a collaboration product where Claude is a first-class participant, at the company building Claude.
• Impact beyond the walls. What you build becomes part of how Anthropic tells the story of an AI-native company to enterprise customers.

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:

$385,000—$460,000 USD

Logistics