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Salary: USD 180,000 - 220,000 / 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 workflows, augmenting insurance professionals in underwriting, claims, pricing, operations, and distribution. Products are already in production with leading insurers.
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, 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: kits, scorecards, 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 global presence with remote employees across 10+ languages, though the primary office is in New York. The culture emphasizes hustle, customer impact, meritocracy, transparency, and relentless experimentation.
Benefits include significant equity, 401(k) with employer contribution, 100% covered medical/vision/dental, 20 days PTO, global team offsites, gym stipend, mobile phone stipend, and continuing education credits.
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 sourcer (not just inbound processor)
- Fluent in Greenhouse or comparable ATS and modern sourcing tools (Juicebox, Metaview, Seekout)
- Comfortable owning full requisition load with minimal oversight
- Creative and energized by experimenting with new tools to identify and engage top engineers
- Able to critique own work and be transparent about what's working
- Experience nurturing pipelines over time and maintaining candidate relationships
Plus factors: AI/ML or LLM recruiting experience, experience building recruiting function from early stage, insurtech/fintech/regulated B2B SaaS recruiting background.
