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Salary: USD 145,000 - 200,000 / annual
Kalepa is an AI company building professional-grade AI systems for the insurance industry—a $7T global sector. The company creates software that can read, reason, decide, and act within real insurance workflows, starting by augmenting professionals and progressively automating what can be automated successfully. Products are already in production with leading insurers, driving measurable outcomes across underwriting, claims, pricing, operations, and distribution.
As Lead Technical Recruiter, you will own the full-cycle recruiting engine for Engineering, Product, and Design functions. This is a foundational role that shapes how Kalepa hires as it scales. You will report directly to leadership and act as a strategic partner to hiring managers and company leaders.
Key responsibilities include:
- Own full-cycle recruiting for engineering roles: intake, sourcing, interviews, offer negotiation, and close
- Conduct intake sessions with hiring managers to develop clear scorecards and search strategies
- Source and build pipelines for passive, hard-to-find technical and AI/ML talent
- Bring market and compensation intelligence into hiring plans; lead offer negotiation and closing
- Build and improve interview processes, including kits, scorecards, and structured debriefs
- Act as strategic partner to company leaders, ensuring hiring goals are met with top-tier candidates
- Strengthen Kalepa's employer brand in the engineering and AI community
Kalepa is backed by leading investors including IA Ventures and Inspired Capital. The team includes experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. The company has a NY office and remote employees across 10+ languages globally, with annual team offsites (recent: Lisbon 2024, Cartagena 2025).
Requirements:
- 5+ years of full life-cycle technical recruiting experience
- Track record hiring backend, infrastructure, full-stack, or ML/AI engineers
- Experience partnering directly with engineering leaders on intake and closing
- Strong independent sourcing skills (not just inbound processing)
- Fluent in Greenhouse ATS and modern sourcing tools (Juicebox, Metaview, Seekout)
- Comfortable owning a full requisition load with minimal oversight
- Creative and energized by experimenting with new tools to identify and engage top engineers
- Ability to critique your own work and be transparent about what's working and what's not
- Experience nurturing pipelines over time and maintaining candidate relationships beyond first interaction
Plus factors:
- Experience recruiting for AI/ML or LLM-focused roles
- Experience building a recruiting function from early stage
- Insurtech, fintech, or regulated B2B SaaS recruiting experience
