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Netic

Founding Technical Recruiter

Reposted 9 Days Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The Founding Technical Recruiter will drive the full-cycle hiring of engineers and ML researchers, develop sourcing strategies, create effective screening processes, and utilize metrics for continuous improvement to build a strong talent pipeline.
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Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

Our Founding Technical Recruiter will build the team that builds the AI revenue engine. This role combines strategic talent acquisition with hands-on recruiting, finding the exceptional engineers and operators who can solve the hardest problems in applied AI.

What You’ll Do:

  • Own full‑cycle hiring: Drive sourcing → close for engineers, ML researchers, and GTM technologists; you’re the single threaded owner on every job req.

  • Build outbound machinery: Design repeatable email, LinkedIn, and community hunts that surface 10× builders long before they’re on the market.

  • Craft the right filters: Build out role‑specific rubrics, technical screens, and onsite loops that predict on‑the‑job success.

  • Sell the mission: Deliver a crisp, credible pitch on Netic’s frontier‑AI moat that converts “maybe” candidates into same‑day signers.

  • Instrument & iterate: Track funnel metrics, time‑to‑hire, and close rates; turn data into weekly process tweaks that keep the bar high and the pipeline fast.

What You’ll Bring:

  • Technical talent pedigree: 3+ years recruiting technical talent in high‑growth startups or top‑tier agencies.

  • Sourcing excellence: Demonstrated top tier sourced‑> hire ratio and mastery of advanced search, referral loops, and niche communities.

  • Process architect chops: Proven ability to spin up scalable interview frameworks and ATS automations without drowning candidates in steps.

  • Storytelling edge: Track record turning complex tech visions into narratives that close passive candidates against big research lab‑level offers.

  • Data discipline: Comfort owning funnel dashboards, A/B‑testing outreach, and using metrics to kill low‑yield tactics fast.

What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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