Member of Technical Staff: Product Eng
Role Overview
As a Product Engineer, you will build full-stack tools and infrastructure for AI researchers to manage and monitor RL environments, including dashboards, visualization tools, and backend systems. This mid-level role involves working closely with the research team to translate their needs into intuitive product features, owning the entire stack from database design to frontend polish. Your work will directly impact the accessibility and scalability of AI training environments, making complex workflows simple for users.
Perks & Benefits
This role offers remote work options with flexible arrangements, including locations in Mountain View, CA (hybrid) or India (remote), allowing for autonomy in your schedule. Benefits include competitive salary and equity, health coverage, and the opportunity to define a new product category in AI infrastructure. You'll collaborate directly with a small, innovative team in a fast-paced environment focused on cutting-edge AI research, providing significant career growth and ownership.
Full 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, one of the best open reasoning datasets used by multiple frontier labs, trained SOTA specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and taught 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.
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