Partnerships Manager, US Public Health
Anthropic
San Francisco, CA | New York City, NYonsitemanagerfull time4d ago
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.
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.
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.
We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy.
The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape.
This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem.
Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work
Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact
Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints
Translate partner needs into deployment plans that account for legacy systems and workforce realities
Support the creation of shared resources and digital public goods that help the broader field use AI responsibly
Build the evidence base by partnering with academic and evaluation organizations to study what works
Represent Anthropic at public health convenings and with funders and policymakers
Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions
Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel)
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 that span government and civil society
Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work
A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology
Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
Experience building programs or portfolios in early-stage environments where the playbook is still being written
High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet
A genuine drive to strengthen the public health system and the communities it serves
An MPH or related credential
Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them
Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency
Experience working in a global context
Experience at a healthtech company, AI organization, or in a product-adjacent role
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.
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.
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.
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.
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