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Bespoke Labs

RL environments and infrastructure for training reliable long-horizon AI agents

3 open rolesSeries A · $40M50+ peopleMountain View

Last verified August 15, 2026 · Updated daily

What Bespoke Labs is building

Bespoke Labs builds the reinforcement learning environments and surrounding infrastructure that frontier labs and enterprises use to train, evaluate, and improve long-horizon AI agents. Today's agents handle short tasks but fall apart over hours or days of autonomous work; to fix that, they need realistic environments to practice in and be measured against. Bespoke builds those environments with research techniques developed alongside the academic and open-source community, then helps customers measure and improve agents using methods like GEPA (Genetic-Pareto Agent Optimizer), which automates prompt and policy search. The team's open-research footprint is unusual for its size: core contributor to Terminal-Bench, one of the most cited agentic benchmarks, and creator of OpenThoughts, an open reasoning dataset downloaded more than 500,000 times and used by groups including Thinking Machines Lab, Meta, and Amazon.

Why this matters

RL environments are becoming the picks-and-shovels layer of the agent era: every lab and AI-native enterprise pushing long-horizon capability needs them, and most competitors staff the problem with contractors building shallow app-level simulations. Bespoke's bet is that environments are a research problem, not a data-labeling problem — and the syndicate suggests sophisticated buyers agree: Wing led the A, 8VC led the seed, and the angel list includes Jeff Dean plus operators from Anthropic, OpenAI, and Meta. Wing's Peter Wagner framed the thesis as a new generation of data and training infrastructure being required as labs push long-horizon agents. Founded in 2024 by CEO Mahesh Sathiamoorthy and Chief Science Officer Alex Dimakis (a UC Berkeley professor), the company already has real distribution through its open-source work, which functions as both credibility and inbound pipeline.

Investors: Series A: Wing VC (Peter Wagner), Mayfield, The House Fund, Tristan Handy (dbt Labs), angels from Anthropic/OpenAI/Meta, Seed: 8VC, Jeff Dean, Spiros Xanthos (Resolve AI), Dheeraj Pandey (DevRev)

Open roles at Bespoke Labs

3 positions we're tracking. Roles are re-checked daily and removed when filled.

Research Engineer (RL)

Mountain View·Mid-level

First seen last month

Apply →

Research Scientist

Mountain View·Mid-level

First seen last month

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Forward-Deployed / Solutions Engineer

Mountain View·Mid-level

First seen last month

Apply →

Hiring outlook

The stated use of funds is expanding the research team and scaling environment-building infrastructure — that is a hiring plan, not a vague growth line. This is a research lab that pointedly staffs research scientists and engineers rather than contractors and project managers, so hiring will be deliberate, high-bar, and founder-driven. RL-environment talent is scarce and this raise exists to compete for it.

Hiring intensity: 7/8

Working at Bespoke Labs

Founded in 2024, Bespoke Labs is RL environments and infrastructure for training reliable long-horizon AI agents. They're now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.

The majority of roles are in Mountain View.

Frequently asked questions

How many jobs does Bespoke Labs have open?

As of July 2026, Bespoke Labs has 3 open positions.

Does Bespoke Labs hire remotely?

Bespoke Labs doesn't have remote openings at the moment. All roles are in Mountain View.

What roles is Bespoke Labs hiring for?

Bespoke Labs is hiring across Engineering, Data. The most recent opening is Research Engineer (RL).

How do I apply for a job at Bespoke Labs?

Apply via the links above. For tips, read our guide on how to get hired at Bespoke Labs.

Where is Bespoke Labs based?

Bespoke Labs is headquartered in Mountain View.

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