At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence.
Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs, you will be working with some of the brightest minds in generative AI and biology.
Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.
We’re looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.
We are looking for a Talent Partner to help us build our San Francisco team.
This is a hands-on recruiting role for someone who can identify, engage and close exceptional people across AI, biology, software engineering and operations.
You will partner closely with hiring managers to understand their needs, shape hiring processes and build high-quality candidate pipelines.
As an early member of the Talent team, you will help define how we hire in the US and how candidates experience Latent Labs.
This role is ideal for someone who enjoys both strategic partnership and hands-on execution in a fast-moving, high-talent-density environment.
You have experience hiring for highly technical, scientific or deep-tech teams
You are confident sourcing and engaging passive candidates, especially for difficult or highly specialised roles
You are able to partner closely with hiring managers, understand technical requirements and help calibrate what great looks like
You communicate clearly and can represent a complex scientific mission in a simple, compelling and credible way
You are organised, proactive and comfortable managing multiple hiring processes at once
You care deeply about candidate experience and know how to run thoughtful, structured and efficient processes
You enjoy early-stage environments where you are expected to bring judgement, pace and ownership.
Experience hiring in San Francisco or the Bay Area talent market.
Experience hiring for AI labs, biotech companies, frontier research teams or highly selective engineering organisations.
Familiarity with academic sourcing, research communities, conferences, labs or university networks.
Experience hiring across machine learning, computational biology, protein design, wet lab biology, software engineering or related fields.
Experience using Ashby, LinkedIn Recruiter, Gem, Greenhouse or similar recruiting tools.
Experience helping build hiring processes, scorecards, sourcing workflows or talent reporting from scratch.
Partner with hiring managers in San Francisco to understand team priorities, role requirements and hiring goals.
Own full-cycle hiring across a range of technical, scientific and business roles.
Build and manage high-quality candidate pipelines through sourcing, referrals, networks and direct outreach.
Engage exceptional passive candidates and communicate Latent Labs’ mission with clarity and conviction.
Run structured, candidate-friendly hiring processes from kickoff through to offer.
Advise hiring managers on market mapping, candidate quality, role calibration, process design and closing strategy.
Help create repeatable hiring systems, including interview plans, scorecards, candidate communications and reporting.
Work closely with the London Talent team to build a consistent global hiring approach across both sites.
Represent Latent Labs externally as a thoughtful, credible and mission-driven talent partner.
We offer strongly competitive compensation and benefits packages, including private health insurance, pension/401(k) contributions, generous leave policies including gender neutral parental leave, hybrid working, travel opportunities and more.
We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives and skills.