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About the Role
We are seeking a Partnerships Manager to expand Anthropic's health initiatives into US public health. This role involves shaping engagement with the US public health system and managing partnerships across federal, state, and local levels. The position combines partnership management with strategic contributions, requiring credibility in the US public health ecosystem, technical fluency in AI deployment, and comfort with ambiguity.
Responsibilities
- Contribute to Anthropic's US public health strategy, identifying priority partners and use cases, and informing broader health work with field insights.
- Manage a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to achieve impact.
- Source, evaluate, and onboard new partners, structuring engagements within government procurement, data governance, and privacy constraints.
- Translate partner needs into deployment plans that accommodate legacy systems and workforce realities.
- Support the creation of shared resources and digital public goods for responsible AI use.
- Build an evidence base by partnering with academic and evaluation organizations to study effectiveness.
- Represent Anthropic at public health convenings and with funders and policymakers.
- Help shape team processes as the area grows, and hand off opportunities suitable for scaled sales or public sector motions.
- Travel to partner sites and SF headquarters approximately every 6 weeks (around 20% travel).
Requirements
- 10+ years of experience in US public health, health policy, or public sector health innovation.
- 5+ years managing external partnerships, multi-stakeholder initiatives, or programs spanning government and civil society.
- Deep relationships and credibility within the US public health ecosystem, including key players at CDC, state health departments, major schools of public health, and funding foundations.
- A working understanding of federal, state, and local public health agency operations, funding, and technology adoption.
- Technical fluency to discuss AI concepts, understand LLM capabilities and limitations, and collaborate with technical teams.
- Experience building programs or portfolios in early-stage environments.
- High agency and comfort with ambiguity.
- A genuine drive to strengthen the public health system and its communities.
- An MPH or related credential.
- 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 will correlate with internal job level requirements.
Skills
- Partnership management
- Strategy development
- Public health ecosystem engagement
- AI deployment
- Technical fluency
- Program design
- Government procurement
- Data governance
- Privacy
- Legacy systems
- Workforce realities
- Digital public goods
- Evidence building
- Communication skills
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 10+ years
- 5+ years
Education Level
- MPH or related credential
- Bachelor’s degree
Salary/Compensations
- $300,000—$365,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a growing group of researchers, engineers, policy experts, and business leaders.
- Beneficial Deployments ensures AI reaches and benefits communities in need, partnering with nonprofits, governments, and mission-driven organizations.
- Anthropic is a public benefit corporation headquartered in San Francisco.
- The company believes high-impact AI research is big science, focusing on large-scale efforts and valuing impact over smaller puzzles.
- AI research is viewed as an empirical science with similarities to physics and biology.
- The company is highly collaborative, hosting frequent research discussions to prioritize high-impact work.
- Recent research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Equal Opportunity
- 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.
- We urge candidates from underrepresented groups not to exclude themselves prematurely.
- We believe diverse perspectives are important for building AI systems with social and ethical implications.
- We strive to include a range of diverse perspectives on our team.