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Agents Engineer In office

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Flint
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Agents Engineer In office →

Team of ~10, in-person in SF.

tl;dr:
Why choose Flint?

We're winning quickly:
Backed by Accel, by the same partner who led the first round for Scale, Vercel, and Sentry, plus Sheryl Sandberg's fund SBVP and Neo. We launched in February 2026 (announced here), and are already powering pages that generate hundreds of thousands of dollars in pipeline + featured on CNBC.

Recognized names that turn heads:
We've earned the trust of customers like Cognition, Glean, Langchain, Tandem, 11x, + more we don't publicly reference. (Our gong has been put to great use!)

About Flint

Flint is the agentic platform that ships pages from your brand and ad campaigns. AI doesn't replace marketers. It removes the work that should never have been theirs: building a one-off landing page for every keyword, every campaign change, every A/B test, then waiting on design and engineering to do it. Today we deliver on-brand pages on your own domain in minutes, with no rebuilds and no engineers.

We're backed by Accel, Sheryl Sandberg (former Meta COO)'s venture fund SBVP, and Neo.

The vision

Sandberg instantly understood Flint's vision. "I was sharing how it took (me) five teams three months to build one A/B test just to increase conversion by 10% on our Google ad," Lim said. "And then she stopped me, [and] said, 'Michelle, it was 140 people at Meta who had to do this'." — Tech Crunch

Imagine a website that builds new pages, tests creative, and optimizes performance in response to real-world signals: competitive shifts, user behavior, trending search queries, the way an autonomous vehicle responds to road conditions and traffic. The marketer still owns the work that compounds and the work that requires taste: strategy, audience, creative direction, brand judgment. Flint takes the manual production off their plate so they get those hours back.

The team

"One of the most talent-dense AI startups... each member of the early Flint team has a track record, and as a team, they perform like athletes. Amazing to watch." - Dan Levine, Accel

Flint is led by co-founders Michelle Lim, Engineer #1 turned Head of Growth and Product at Warp, and Max Levenson, engineering leadership at autonomous vehicle startup Nuro, then Engineer #2 at Vooma (YCS
23).

Every single member of the Flint team has been a founding engineer / founder. Early stage best practices are in our team's DNA. Because of that, our team knows how to catalyze hockey stick growth, but just as critically, how to navigate it sustainably to create $XB valued companies. After all, we've done it before. We are alums of Netflix, Scale, and Shepherd (YC W21), and work together in-person out of historic Jackson Square.

The product

Companies have used Flint to hit goals like…

  • Ranking #1 on AI answer engines like ChatGPT, Perplexity and Google AI Overview
  • Lifting ad conversion rates
  • Generating hundreds of thousands of dollars in pipeline revenue
What you'll own
  • The agentic systems behind Flint's core product: reliability, capability, observability. The central problem of the role is making them hold up in production, not just in demos.
  • The pipeline that ingests customer websites and extracts brand signals for generation.
  • Multi-agent architectures that survive real traffic and edge cases.
  • Evals and testing for agentic systems.

    Integrating agent capabilities into the broader platform alongside product engineers.
    You're a fit if
    • You've built production agent systems you can point to.
    • You have deep hands-on experience with prompt engineering, context optimization, and multi-agent orchestration.
    • You've debugged agents in production and know how to make them predictable at scale.
    • You've got a strong full-stack foundation, agents don't live in isolation.
    Bonus
    • You've applied AI to design systems, brand…
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