At Exa, we’re building a next-gen embeddings based search engine for AI. We’re a ~60-person team from places like Harvard, MIT, Stanford, Apple, and Palantir, backed by Benchmark, Lightspeed, and NVIDIA, and we’re scaling fast.
We’re looking for a Head of Talent to own and build Exa’s entire hiring engine.
You’ll work directly with our founders and CoS to build our early organization structure, out-compete companies like Anthropic and OpenAI for top research talent, and build our our people organization.
About the RoleThe Head of Talent at Exa is both a strategic leader and a practical operator.This role sits at the center of Exa’s growth. The people you hire will define the company (and the future of search!).
What You’ll DoSet Exa’s hiring roadmap with founders and CoS, and define what “great” looks like across teams
Personally source, assess, and close high-impact hires, including senior engineers, GTM leaders, and early execs
Run the most critical searches end-to-end when the stakes are high
Design interview loops, scorecards, and hiring bar
Build scalable recruiting workflows and infrastructure using Exa’s internal AI tools
Hire, manage, and develop GTM and Technical Recruiters
Build a culture of speed, ownership, and high bar across the recruiting team
Shape how Exa is experienced by candidates and build a reputation that attracts elite talent
6+ years of recruiting or talent leadership experience in high-growth tech companies
Experience hiring for both technical and GTM roles
Proven ability to operate as both strategist and closer
Strong opinions about hiring bar, team design, and talent quality
Comfort working directly with founders in a fast-moving environment
A builder mindset — you want to create systems, not just run them
Experience at a top-tier startup or scale-up
Experience building recruiting teams from scratch
Technical literacy (you can comfortably talk to engineers and understand what makes them great)
Webscale infrastructure is not getting automated anytime soon. We are building complex systems, and solving technically difficult problems. We need the best humans to do this, all while building a culture of technical optimism, original thinking, and joy.
This is an in-person opportunity in San Francisco.
Top Skills
What We Do
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
