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Anthropic

Partnership Manager, AI for Science

San Francisco, CA · New York City, NY

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hirly's read of this role

Seniority
Lead / management
Stated salary
$170,000 – $215,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
3 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Anthropic

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.

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible.

About the role

We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains.

In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.

Responsibilities:

Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations

Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building

Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact

Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities

Manage timelines, resource requirements, and regular reporting associated with the AI for Science program

Work closely with partners to understand their technical and operational needs and translate them into deployment plans

Comfort with early technical prototyping and testing to help learn alongside and unblock partners

Contribute to a research agenda for understanding AI's impact on individual labs across domains

Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem

Represent Anthropic at global scientific convenings and conferences

Help shape team processes and culture as we scale our Life Science work

You may be a good fit if you have:

2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress

Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities

A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships

Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams

Analytical mindset with experience using data to inform strategy and measure impact

An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project

A genuine drive to maximize impact for underserved communities

High agency and comfort with ambiguity; you thrive when you're building the plane while flying it

Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities

Willingness to travel for occasional partner visits and conferences

Strong candidates may also have:

Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives

Experience working with philanthropic foundations on science funding

Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product

Background in wet lab research with an ability and aptitude for scientific communications

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:

$170,000 — $215,000 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

Original posting on Anthropic's site ↗

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