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Judgment Labs

Operations Lead

Sorry, this job was removed at 01:26 a.m. (PST) on Thursday, Jul 02, 2026
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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Judgment Labs builds infrastructure for Agent Behavior Monitoring (ABM). While traditional observability focuses on logging exceptions and latency, our ABM surfaces behavioral anomalies such as instruction drifts and context retrieval loss in scaled production environments.

Hundreds of teams building autonomous agents rely on Judgment to understand how their systems are behaving post-deployment. Instead of reactive incident triage, they cluster patterns across conversations and workflows, correlate regressions to specific interaction types, and pinpoint where reliability breaks down in their usage context.

We’ve raised $30M+ across two rounds in the past five months. Our investors include Lightspeed, SV Angel, Valor Equity Partners, Nova Global, Chris Manning, Michael Ovitz, Michael Abbott, Cory Levy, Kevin Hartz, and others.

The Role:

Operations owns the systems that keep Judgment Labs running smoothly. You will manage recruiting pipelines, handle administrative and compliance workflows, and support founders in delivering great customer experience.

What You’ll Do:
  • Manage recruiting pipelines and coordinate candidate communications

  • Support payroll, legal, finance, and other administrative tasks

  • Maintain vendor relationships and handle onboarding and offboarding

  • Assist with customer success and ongoing account support

  • Build and optimize internal processes

What We are Looking For:
  • Strong operational instincts and high personal organization

  • Experience in startup operations, chief of staff roles, or similar

  • Ability to execute quickly and adapt to new challenges

  • Excellent communication and coordination skills

Why Judgment?
  • Agents can’t work without this. Today’s agents hallucinate, drift, and break in production. We’re building the infrastructure that fixes this: the monitoring layer that makes agents self-improving.

  • We’re wired to win. We're a team of less than 20 but we ship like 50+ on the daily. You'll be working with olympiad medalists, debate champions, and competitive athletes who bring that same intensity to company building.

  • Fast track to founding. Our engineers interface directly with customers, ship code into their environments, and use their feedback to dictate what’s next on the roadmap. Everyone on the team is either an ex-founder or a founder-to-be.

  • We make sure our people do their best work. If you deserve a spot on the team, money will never get in the way of it. Full benefits, Equinox, and a private chef to take care of you. We sprint hard but we play hard, ask us about our Smash/Mario Kart tournaments.

    We work in person in San Francisco.

HQ

Judgment Labs San Francisco, California, USA Office

425 Bush St, San Francisco, California, United States, 94108 3708

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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