Generalist
Talent Acquisition Partner
Boston (Somerville). Posted 10 days ago
The role
You will create talent strategies and map candidate ecosystems to build teams across research, ML, robotics, and hardware. You will partner with the Head of Talent Acquisition to design and scale the hiring engine.
What you will do
- Manage end-to-end search including intake, strategy, sourcing, screening, loop design, closing, and onboarding handoffs.
- Perform proactive talent mapping to identify prospective candidates.
- Conduct targeted sourcing using publications, conferences, repositories, and referral networks.
- Leverage AI tools for research, enrichment, and workflow enhancement.
- Track pipeline conversion and channel effectiveness to guide strategy.
- Collaborate with hiring managers on role scoping, calibration, and interview loops.
- Engage and close candidates by articulating mission and technical scope.
- Maintain data and structured interviewing practices within Ashby.
- Manage external agencies to supplement internal sourcing.
- Support in-person hiring efforts in San Francisco and Boston including site visits and industry events.
Required qualifications
- 5+ years full-cycle technical recruiting
- Track record of closing senior technical hires with competing offers
- Real passive-sourcing depth
- Data fluency including ATS reporting and spreadsheet use
- Working, current use of AI tooling in workflow
- Exceptional written communication
- Genuine technical curiosity
- Strong relationship management under pressure
- Based in San Francisco or Boston, in person
Nice to have
- Hiring for a frontier research organization or AI lab
- Robotics, autonomous vehicles, or hardware experience
- Experience as an early or founding recruiter
- Ashby, or fluency in a comparable structured-interview ATS
- Agency or search-firm training early in career
- Familiarity with both the Bay Area and Boston markets
About the company
Generalist is on a mission to build general intelligence for the physical world. The team includes researchers and roboticists from OpenAI, Boston Dynamics, and Google DeepMind.