Technical Recruiter Enterprise Data

Technical Recruiter [Onsite, SF] Enterprise Data

A hypergrowth AI platform is turning messy enterprise documents, PDFs, spreadsheets, medical records — into clean, structured data for AI teams. They're the leading agentic document platform, processing billions of pages monthly for customers ranging from startups to Fortune 10 enterprises.

Revenue grew 8x YoY, they've raised $100M+ from a16z, Benchmark, and First Round, and they're scaling from ~50 to 140 people this year, opening new offices in NYC and Europe along the way.

This is a top-priority hire (1–2 headcounts): they need an early Recruiting team member to own full-cycle technical hiring across Engineering, ML, and Infrastructure, and build the recruiting foundation the company scales on.

Why Join Them?

Hypergrowth With Proof: 8x YoY revenue growth, billions of pages processed monthly, and Fortune 10 customers — not a pre-revenue science project.

Ground-Floor Impact: Early member of the Recruiting team, partnering directly with engineering leaders and execs — your processes, interview loops, and top-of-funnel playbooks become the company standard.

Top-Tier Backing: $100M+ raised from a16z, Benchmark, and First Round.

Scale Story: Headcount nearly tripling this year (~50 140) with new NYC and Europe offices — recruiting is the engine, and you're driving it.

The Ideal Candidate

• Experience: 2-5 years (no more than 7 YoE) of full-cycle technical recruiting at a growing, reputable startup, including 2+ years on software engineering, ML, or infra roles. Early-stage or hypergrowth backgrounds (think Brex, Ironclad) are ideal.
• Track Record: Closed candidates in competitive AI/ML talent markets and contributed to building recruiting infrastructure, resources, or processes.
• Skills: True full-cycle ownership — sourcing, assessment, offer negotiation, and close. Comfortable with Greenhouse, LinkedIn Recruiter, and Ashby.
• Mindset: Strategic thinker who can craft compelling outbound positioning to generate interest in a very active AI/ML engineering market. Rigorous pipeline management, data-driven, obsessive about candidate experience.
• Not a Fit: Big-company-only backgrounds (Meta, Amazon, Google) with no startup exposure, majority contractor/RPO experience, or company experience that isn't strong or high-growth.

Other Details

• Salary: $110K–$170K base + competitive equity (DoE)
• Work Policy: On-site 5 days/week in San Francisco
• Visa Sponsorship: Not available (TNs possible for exceptional candidates)
• Interview Process: 3 steps
• Tech Stack: Greenhouse, LinkedIn Recruiter, Ashby

A note for humans: Tired of competing with bots and fake profiles? So are we. If you're SF-based and know you fit this role, skip the queue — reach out to us via team@crestviewtalentlabs.com with your resume.