Product Manager, Claude Science

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.

• Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist
• Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task
• Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology
• Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone
• Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities
• Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions
• Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority
• Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks
• 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus
• An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms)
• Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones
• Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations
• A track record of launching ambitious products that found distribution or commercial success
• Experience designing trusted-access or staged-rollout programs for sensitive capabilities
• A creative, hacker spirit and a love of solving hard puzzles

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:

$305,000—$385,000 USD

Logistics