Technical Program Manager
Anthropic
Technical Program Manager
Anthropic
Builds Claude AI models with a focus on safety
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.
Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible.
We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies.
This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities
Act as the interface between research and the outside world. Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers.
Help set Anthropic’s external science strategy. Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together
Guide the scientific direction of the Anthropic Science Blog. Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing.
Drive forward external science programs. Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas.
Gather feedback from scientific communities. Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams.
A PhD in a scientific or mathematical field, with a track record of original research
Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately.
Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs
Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years
Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities.
Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities
Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field.
Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy
Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter
Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets
Experience building partnerships with scientific societies, journals, or research institutions
Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology
Experience organizing conferences, workshops, or large coordinated launches
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Annual Salary: 365000 - 435000 USD
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
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