Technical Recruiter [Onsite, SF] Enterprise Data

zella-group; San Francisco (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

zella-group is seeking a Technical Recruiter to own full-cycle technical hiring across Engineering, ML, and Infrastructure in its San Francisco onsite office. This is a high-priority, early member of the Recruiting team at a hypergrowth AI platform that processes enterprise data and serves Fortune 10 customers.

You will partner with engineering leaders and executives to design interview loops, build top-of-funnel playbooks, and scale the recruiting foundation as the company grows from ~50 to

Qualifications

• 2–5 years (no more than 7 YoE) of full-cycle technical recruiting at a growing startup.
• Closed candidates in competitive AI/ML talent markets and contributed to building recruiting infrastructure.
• True full-cycle ownership — sourcing, assessment, offer negotiation, and close.
• Comfortable with Greenhouse, LinkedIn Recruiter, and Ashby.
• Strategic, data-driven mindset with emphasis on candidate experience.

Responsibilities

• Own full-cycle technical hiring across Engineering, ML, and Infrastructure.
• Partner with engineering leaders and executives to shape interview loops.
• Build top-of-funnel playbooks and scale recruiting processes as the company grows.
• Drive candidate experience and data-driven recruiting metrics.

Skills

Full-cycle recruiting

AI/ML recruiting

Sourcing

Candidate assessment

Negotiation

Tools

Greenhouse

LinkedIn Recruiter

Ashby

Job description

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: 2-5years (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