As an early member of the Recruiting team at a fast-scaling AI startup, you will play a pivotal role in shaping our growing engineering organization. You'll work closely with technical leaders and executives to drive full-cycle recruiting across Engineering, Machine Learning, and Infrastructure, from top-of-funnel strategy through offer negotiation and close. This is a high-impact role where you'll help build the recruiting foundation that scales with us for years to come.
What You'll Do:
Own full-cycle recruiting for technical roles, including sourcing, assessment, offer, negotiation, and close, with a focus on Engineering, ML, and Infrastructure.
Partner directly with engineering leaders and executives to develop deep conviction on hiring needs, team objectives, and the profile of talent required to achieve them.
Build and iterate on recruiting processes, interview loops, and top-of-funnel strategies that will scale as the team grows.
Proactively source and engage passive talent through creative research, direct outreach, referrals, and community building.
Guide candidates through the full journey, developing a clear understanding of their motivations and decision drivers to close effectively in a competitive market.
Manage candidate pipelines with rigor and ensure an exceptional experience at every stage.
Use data to drive decisions, tracking funnel metrics, conversion rates, and hiring pace to keep stakeholders informed and processes efficient.
- 4+ years of experience in full-cycle technical recruiting at a growing and reputable startup
- 2+ years technical recruiting for software engineering, ML, or infra roles
- Experience at an early-stage or hyper-growth startup (e.g., recognizable high-growth tech companies), not an unrecognizable logo
- Closed candidates in competitive AI/ML talent markets
- Has contributed to building recruiting infrastructure, resources, or processes
- Full-cycle recruiting: sourcing through offer negotiation and close
- Strategic thinker who can articulate compelling outbound positioning to generate interest in a very active ML/AI engineering market
- Preference for candidates from smaller tech startups with a sense of urgency and strategic thinking abilities
- Excited about onsite work and team collaboration
- Familiarity with tools such as Greenhouse, LinkedIn Recruiter, and Ashby