---
title: 'Engagement Manager at Bespoke Labs'
canonical: 'https://feeny.ai/job/engagement-manager-bespoke-labs-mountain-view-4aevsp00m946'
type: 'job'
last_seen: '2026-09-10'
---

# Engagement Manager at Bespoke Labs

- **Company:** Bespoke Labs
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-16
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/bespokelabs/3d25373f-e7e9-40a1-ba8c-08c7f62e0e73

## 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://www.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 agents to do multi-turn tool-calling with reinforcement learning. We are also core contributors to [Terminal-bench](https://www.tbench.ai/), a leading benchmark for agents used by most frontier labs. Bespoke Labs creates RL environments for frontier labs and specialized agents for enterprises.

## The Role

As an Engagement Manager, you are the primary owner of customer relationships for some of the most consequential AI labs and enterprises in the world. You drive engagements end-to-end, from kickoff through delivery, and you make sure that what Bespoke ships meets the bar our customers expect. Internally, you represent the customer: translating their objectives into the language our research, engineering, and data operations teams use to build environments and run training and evaluation jobs. Externally, you are the face of Bespoke, the person who turns a first project into a long-term partnership. This role is execution-focused. You will manage multiple concurrent engagements, each with technical depth and tight delivery windows. Precision across tracking, documentation, quality alignment, and customer follow-through is what makes customers successful and earns us the next project.

## What you'll do

- Own end-to-end execution of customer engagements across frontier labs and enterprise accounts.
- Be the customer's voice inside Bespoke. Translate technical requirements between customer ML/research teams and our internal engineering, research, and data operations teams.
- Manage delivery rigor. Track scope, timelines, SLAs, budget, and quality across multiple concurrent projects. Surface risks early with proposed solutions.
- Drive growth within accounts. Identify expansion opportunities, scope follow-on projects, and shape proposals alongside our research and product leadership.
- Improve how we deliver. Partner with data operations and engineering to refine playbooks, tooling, and processes that compound across customers as we scale.
- Build trust that earns the next project. Make customers passionate, long-term partners through precision, responsiveness, and craft.

## Who you are

- 1+ years as Engagement Manager at a fast growth data startup.
- 3–6 years of experience in customer engineering, forward-deployed engineering, project leadership at a high-growth company, or technical program management.
- A technical foundation, for example, a degree or working experience in CS, engineering, math, or another STEM field. You don't need to write production code, but you can read technical specs, ask sharp questions, and hold your own in a conversation with an ML researcher.
- A demonstrated ability to manage multiple concurrent workstreams with precision. You are the person on your current team who never drops a thread.
- B2B client-facing experience where execution and delivery were the core of the job, not just account management.
- An action-oriented, scrappy disposition, with a get-things-done attitude.
- Strong written communication.

Bonus points for

- Familiarity with modern AI training and evaluation workflows such as RL, post-training, agent evaluation, data labeling at scale.
- Experience working with research or ML engineering teams as a customer or partner.
- Time in an early-stage or high-growth environment where you wore multiple hats and built process from scratch.
- Experience selling into or delivering for technical buyers: ML platform teams, applied research teams, or AI product orgs.

This role is based out of our Mountain View office with a hybrid schedule.

## 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
- [Founding Recruiter](https://feeny.ai/job/founding-recruiter-bespoke-labs-remote-hnw3zbanavm6)
- [Research Engineer](https://feeny.ai/job/research-engineer-bespoke-labs-mountain-view-vv4mp69f8z1b) — Mountain View, CA
- [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
- [AI Enterprise Engineer](https://feeny.ai/job/ai-enterprise-engineer-bespoke-labs-mountain-view-cvams3d3p42m) — Mountain View, CA