Product Partnerships Lead, Life Sciences & Healthcare

San Francisco, CA | New York City, NYFull-TimeLeadCustomer Acquisition

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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.

Life sciences and healthcare are among the most consequential domains for AI. The organizations in this space have complex workflows, rigorous compliance requirements, and stakeholders who can tell immediately whether you understand their world or not.

This is not a Sales role. This role requires real domain understanding as you’ll be shoulder-to-shoulder with scientists and experts in the field to help determine commercial partnerships and playbooks. You'll build partnerships with R&D leadership, scientists, and clinical stakeholders — conversations where credibility is earned through substance. We’re looking for someone with subject-matter expertise to be able to engage deeply with the people who do this work for a living.

Research and build critical strategic partnerships. Research, source, structure, and close strategic collaborations across the life sciences and healthcare ecosystem — working closely with internal teams to shape what we pursue and why.
Be the domain expert. Serve as Anthropic's internal voice on life sciences and healthcare — helping research, product, and leadership understand the landscape, evaluate opportunities, and make good calls.
Prioritize the ecosystem. Map the sector and sequence the highest-impact organizations to engage. Build a pipeline with a clear point of view on where to focus and where to say no.
Navigate complex organizations. Drive partnerships through R&D, IT, legal, compliance, and procurement — with a realistic view of how these deals actually get done in regulated industries.
Enable integrations where relevant. Where partnerships include product or platform integrations, work with partner engineering teams and hold the quality bar.
Coordinate cross-functionally. Work across research, product, engineering, policy, and legal to structure partnerships that are compliant, deliverable, and valuable.

Meaningful experience with the life sciences or healthcare industry — pharma, biotech, health systems, life science tools, CROs, or clinical research. This is the single most important requirement. We need someone who can operate independently in this space from day one, not learn the industry on the job.
Scientific literacy. Enough depth to engage credibly with R&D leaders and evaluate the substance of a potential collaboration — not just the commercials.
Partnerships, Business Development, or Alliance Management experience in life sciences or healthcare specifically, with a track record of landing complex, multi-stakeholder deals (working across R&D, IT, legal, compliance, procurement).
Fluency in the regulatory and data governance landscape — HIPAA, IRB processes, privacy, and the compliance realities that shape every deal in this sector.
Strong cross-functional collaboration skills — comfort working with technical research teams and translating between business and science
Technical understanding of AI/ML and how it applies to biomedical problems.
Minimum 5 years of experience understanding how to create mutually beneficial commercial partnerships

Experience with developer platforms, API ecosystems, or integration partnerships
An existing network across pharma, biotech, or health systems
Advanced degree in a life sciences field
Experience with developer platforms, API ecosystems, or integration partnerships
An existing network across pharma, biotech, or health systems
Advanced degree in a life sciences field
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.

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.