---
title: 'Product Engineer (Mountain View) at Bespoke Labs'
canonical: 'https://feeny.ai/job/product-engineer-mountain-view-bespoke-labs-mountain-view-j6k00t21n13v'
type: 'job'
last_seen: '2026-09-10'
---

# Product Engineer (Mountain View) at Bespoke Labs

- **Company:** Bespoke Labs
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-09-02
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/bespokelabs/de5eb76c-6fe8-409d-8f2f-030166ccf470

## Job description

## About Bespoke Labs

Bespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents. Recently, we curated [Open Thoughts](https://open-thoughts.ai/), one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as [Bespoke-MiniChart-7B](https://www.bespokelabs.ai/blog/bespoke-minichart-7b) and [Bespoke-MiniCheck](https://www.bespokelabs.ai/bespoke-minicheck), and [taught](https://www.bespokelabs.ai/blog/improving-multi-turn-tool-use-with-reinforcement-learning) agents to do multi-turn tool-calling with reinforcement learning. Bespoke is uniquely positioned to capture a large market share of data and RL environment curation.

## About the Role

We're looking for our first Product Engineer — someone who bridges the gap between cutting-edge AI research and the tools that researchers actually want to use. You'll be building the interfaces and infrastructure that make RL environment curation accessible, intuitive, and powerful. You possess the energy of a builder and the finesse of an artist. Maybe you've shipped side projects that solve real problems, or you've been the person turning ambitious ideas into working software. You care about the details, both in your code and in how your product feels to use. You can move quickly from concept to prototype, but you also know when it's time to invest in making something production-ready. Working directly with the rest of our team, you'll create the platform that environment engineers use to build, test, and deploy training worlds for AI agents. This isn't just about infrastructure—it's about crafting experiences that make complex workflows feel simple.

## What You'll Do

- Build intuitive dashboards where environment engineers can upload, manage, and monitor their RL environments.
- Create visualization tools that make complex metrics -- environment quality, difficulty levels, training progress -- clear and actionable.
- Develop the backend infrastructure for scalable hosting and evaluation of RL environments.
- Design and implement APIs that let researchers programmatically interact with the platform.
- Work directly with our research team to understand their workflows and translate needs into product features.
- Own the full stack, from database design to frontend polish, ensuring the platform is both powerful and pleasant to use.
- Establish best practices for testing, deployment, and monitoring as we scale.

## What We're Looking For

Technical skills:

- 2+ years of full-stack development experience with strong fundamentals in both backend and frontend
- Proficiency in Python and modern web frameworks.
- Experience with cloud platforms (GCP, AWS) and distributed systems.
- Strong experience with CI/CD, testing, and production monitoring.
- Ability to ship working prototypes quickly, then iterate toward production quality.

Product skills:

- Good instincts for what makes software easy and enjoyable to use, particularly for technical users
- Ability to make product decisions with incomplete information—deciding what to build and what to defer
- Comfortable working closely with users (in this case, researchers) to understand pain points and validate solutions
- Experience designing systems that can start simple and scale as needs grow.

Logistics Location: Mountain View, CA (Hybrid) or India (Remote) Compensation: Competitive salary and equity based on experience. Benefits: Health coverage, flexible work arrangements, and the opportunity to help define a new product category in AI infrastructure We encourage you to apply even if you don't meet every qualification. We value diverse perspectives and are happy to discuss how your unique background could be a great fit for this role.

## About Bespoke Labs

## Company Overview
- **One-liner**: Bespoke Labs is an applied AI research lab building company-scale RL environments and data curation infrastructure to train reliable, production-grade AI agents.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Mountain View, California, United States (with an office in Santa Clara, CA)
- **Founded**: 2024
- **Founders**: Mahesh Sathiamoorthy (CEO, formerly Google DeepMind) and Alex Dimakis (CSO, Professor at UC Berkeley)

## Core Business
- **Primary industry**: Applied AI Research / Software Development (Agent Infrastructure)
- **Target customers**: B2B — Frontier AI labs (e.g., Anthropic, OpenAI, Google DeepMind) and enterprises needing to train, evaluate, and optimize complex, long-horizon AI agents for production.
- **Mission**: To build the environment infrastructure for the agent revolution, making AI agents dependable in production by creating entire digital worlds for training.

## Products & Services
- **Company-Scale RL Environments**: Infrastructure that simulates real codebases and microservices, allowing agents to master complex, long-horizon workflows required for production.
- **Agent Evaluation & Optimization (GEPA)**: An evolutionary algorithm (GEPA optimizer) that automates prompt and policy searches, achieving superior accuracy faster than manual prompt engineering. Over 200 teams use GEPA in production.
- **Production-Grade RL & Benchmarking**: Collaborative research in RL, data curation, and benchmarking to ensure training environments keep pace with the advancing frontier of model capabilities.
- **OpenThoughts Dataset**: One of the best open reasoning datasets (10k+ monthly downloads on Hugging Face), cited in ICLR 2026.
- **Terminal-Bench**: The first environment-based benchmark for agentic systems, cited by Anthropic, OpenAI, and Google DeepMind, published at ICLR 2026.
- **Bespoke-MiniCheck & Bespoke-MiniChart**: SOTA models developed in-house for fact-checking and chart understanding.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Total Funding**: $8.25M (Seed Round, June 2024).
- **Notable Investors/Partners**: Lead investor is **8VC**. Advisors include Tasso Argyros (VP of Eng at Databricks, ex-CEO of ActionIQ), Joseph Gonzalez (Associate Professor at UC Berkeley, creator of LMSYS/vLLM), and Greg Durrett (Associate Professor at NYU). Cited by Anthropic, OpenAI, and Google DeepMind.
- **Growth Signals**: Headcount grew **+238.5% year-over-year** (from ~8 to 28 employees). Monthly headcount growth is **+33.3%**. Active job postings increased **+183.3% quarterly** (34 open positions). Over 200 teams use GEPA in production. OpenThoughts sees 10k+ monthly downloads.

## Competitive Advantages
- **First-Mover in Agent Environments**: They identified the bottleneck for agent reliability is the environment, not the model, and are building the foundational infrastructure for this new paradigm.
- **SOTA Research Output**: Published work at ICLR 2026 (Terminal-Bench, GEPA, OpenThoughts) that is being cited and used by frontier labs (Anthropic, OpenAI, Google DeepMind).
- **Strong Academic & Industry Ties**: Founded by a Google DeepMind alum and a UC Berkeley professor, with advisors from Databricks, UC Berkeley, and NYU. Team includes alumni from Google, Scale AI, Microsoft, and AI2.
- **Open Source Influence**: OpenThoughts is a widely used open reasoning dataset, building community credibility and attracting top talent.

## Strategic Focus
- **Scale the Environment Infrastructure**: Build increasingly complex and realistic digital worlds for training agents, moving beyond demos to production-grade reliability.
- **Expand Enterprise Adoption**: Help enterprises evaluate and optimize agents in environments that mirror their specific systems and processes.
- **Continue Frontier Research**: Push the boundaries of RL, data curation, and benchmarking to maintain a lead in the agent training space.
- **Talent Acquisition**: Aggressively hiring researchers and engineers (34 open roles) to scale the team and the product.

## Why Work Here
- **High-Impact, Cutting-Edge AI Work**: Opportunity to work on one of the most important problems in AI — making agents reliable. The team is described as "exceptional researchers and engineers."
- **Strong Research Culture**: The lab publishes at top venues (ICLR) and contributes to open source (OpenThoughts). The work is a blend of product engineering and fundamental research.
- **Rapid Growth Stage**: With 238% YoY headcount growth and a recent seed round, this is an early-stage opportunity to shape the company's culture and technical direction.
- **Office-First, Collaborative Environment**: Based in Mountain View/Santa Clara with an emphasis on in-person collaboration. The team is small (28 people) but growing fast.
- **Notable Alumni & Hiring Sources**: The team attracts talent from Scale AI, Berkeley RISE Lab, Google DeepMind, and Grammarly, indicating a high-caliber peer group.
- **Open Roles**: Actively hiring for GPU/CUDA Engineers, Product Engineers, Scientific ML Engineers (PhD Interns), and Quantitative Financial Specialists, among others.

## Sources
1. [bespokelabs.ai](https://www.bespokelabs.ai/)
2. [bespokelabs.ai/about-us](https://www.bespokelabs.ai/about-us)
3. [linkedin.com/company/bespokelabsai](https://www.linkedin.com/company/bespokelabsai)
4. [pitchbook.com/profiles/company/651710-80](https://pitchbook.com/profiles/company/651710-80)
5. [jobs.ashbyhq.com/bespokelabs](https://jobs.ashbyhq.com/bespokelabs)

## Other roles at Bespoke Labs

- [RL Environments Engineer](https://feeny.ai/job/rl-environments-engineer-bespoke-labs-mountain-view-r1brn5r4z8ex) — Mountain View, CA
- [Desktop/System Administrator](https://feeny.ai/job/desktop-system-administrator-bespoke-labs-bengaluru-f4e04cka1jkn) — Bengaluru, India
- [Backend Engineer](https://feeny.ai/job/backend-engineer-bespoke-labs-mountain-view-2wfkmwxgk7se) — Mountain View, CA
- [Full Stack Engineer - MTV](https://feeny.ai/job/full-stack-engineer-mtv-bespoke-labs-mountain-view-mv3kv8nrts8f) — Mountain View, CA
- [Full Stack Engineer - BLR, India](https://feeny.ai/job/full-stack-engineer-blr-india-bespoke-labs-bengaluru-pazpmr8p8dp8) — Bengaluru, India
- [Engagement Manager](https://feeny.ai/job/engagement-manager-bespoke-labs-mountain-view-4aevsp00m946) — Mountain View, CA
- [Founding Recruiter](https://feeny.ai/job/founding-recruiter-bespoke-labs-remote-hnw3zbanavm6)
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- [Product Engineer (Bangalore)](https://feeny.ai/job/product-engineer-bangalore-bespoke-labs-bengaluru-zg7eead9kgg5) — Bengaluru, India
- [Design and Brand Storyteller](https://feeny.ai/job/design-and-brand-storyteller-bespoke-labs-mountain-view-asg657e8gnwr) — Mountain View, CA