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Senior Technical Recruiter

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Menlo Ventures
Full Time position
Listed on 2026-02-24
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 280000 USD Yearly USD 120000.00 280000.00 YEAR
Job Description & How to Apply Below

About Goodfire

Behind our name:
Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.

Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible.

Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and Deep Mind. We’ve raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.

About the role

We're hiring a Senior Founding Recruiter to build our entire talent acquisition function as we scale. You'll be a hands‑on, strategic partner to our founders, owning all hiring across AI/ML research engineering, product, and go‑to‑market roles.

You'll perform full cycle recruiting from sourcing and screening through offer stage while building the recruiting infrastructure that will scale with us. You'll take a consultative approach, partnering with our Founders and leadership team to attract top talent. You're focused on quality over quantity and understand that in AI safety and interpretability research, small, talent‑dense teams win.

You'll stay embedded in the SF AI scene, maintain a warm pipeline of standout talent, and help shape who joins Goodfire as we scale.

What you’ll do
  • Own end‑to‑end recruiting across AI/ML research scientists, research engineers, ML infrastructure, security, and non‑technical roles (ops, GTM, etc) as needed
  • Build and maintain a proactive pipeline of top AI talent so we’re never starting from zero when a role opens
  • Stay embedded in the AI community: actively participate in SF/Bay Area AI events, networking meetups, and conferences; maintain relationships that generate warm intros
  • Design interview loops, ensure bar alignment, and build recruiting infrastructure that will scale with the company while executing all IC recruiting work yourself
  • Protect the bar:
    You default to skepticism, looking for reasons candidates won’t work. You’re comfortable with rigorous evaluation processes (work trials, deep reference checks, behavioral interviews) and high rejection rates.
What you’ll bring Required experience
  • 5‑10 years of recruiting experience, with 3+ years in early‑stage startup or research‑intensive environments
  • 2+ years recruiting specifically for AI/ML, research engineering, or ML infrastructure roles (strongly preferred)
  • Proven ability to recruit across both technical (engineering, research) AND non‑technical (GTM, product, ops) roles
  • Sole operator experience:
    You’ve been THE recruiting function or founding recruiter before & are comfortable operating independently
  • Quality over quantity mindset:
    You measure success by quality of hires, not speed or volume. You protect the bar aggressively
Preferred qualifications
  • Experience recruiting for frontier AI labs, LLM startups, or research heavy engineering orgs.
  • STEM degree (BS/MS/PhD) or equivalent technical background/fluency.
  • Existing network in the SF / Bay Area AI ecosystem
Our values

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

Put mission and team first

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly

We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

Take ownership and initiative

There are no bystanders here. We proactively identify problems and take…

Position Requirements
10+ Years work experience
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