PMs for Hire

Manager, Applied AI Engineering, Life Sciences (Beneficial Deployments)

San Francisco, CA | New York City, NY

H1B sponsorship available$320k-$405kDetected 28 days ago

Machine LearningNLPLLMsLogisticsBioinformaticsResearchLeadershipCommunication

About the role

Because this work sits in a sensitive, dual-use domain, you'll also help set the standard for how we deploy responsibly - enabling legitimate science while taking safety seriously.
Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems.
Set the standard for responsible deployment: work alongside our safety teams to enable beneficial scientific work while guarding against misuse in a dual-use domain.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow.
Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production.

use deep knowledge of frontier model intelligence coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences.
Years of experience required will correlate with the internal job level requirements for the position

Have led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting.
Have a background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs.
Have a strong hands-on engineering background and are comfortable reading and writing production code, not just managing those who do.
Have built on top of large language models or agents
Are energized by an unfamiliar technical domain and have a track record of going deep fast.
Hold a high bar for reliability and reproducibility, and understand why a plausible-looking answer that's subtly wrong can be worse than no answer in scientific work.
Have built tooling, data infrastructure, evals, or agent harnesses that turn messy real-world data into something usable and trustworthy - especially welcome if in a scientific or research setting.
Care deeply about the safe and beneficial deployment of AI, especially in sensitive domains.

$320,000 - $405,000 USD
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
However, some roles may require more time in our offices.
Experience deploying LLM or agent systems in regulated or enterprise environments.
Experience building MCP servers, developer tooling, or scientific computing pipelines.

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow.
Have delivered technical work directly with external customers or partners, and can communicate credibly with both technical experts and executives.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

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 do sponsor visas!

This listing is sourced directly from PMs for Hire's careers page and normalized into a canonical job model.