Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions We’re looking for an AI Product Manager to own one of the Agent Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data . In this role, you’ll oversee the product roadmap for your data vertical, owning “data as a product”, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.

You’ll work directly with Scale’s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps. The ideal candidate brings together a strong entrepreneurial go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes. You will: Own the roadmap for the Agent RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.

Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical. Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities. Scope out and scale the creation of RL environments that simulate real-world use cases.

Collaborate cross-functionally , influencing business priorities and diving in the weeds of research, operations, and customer interactions. Ideally, You’d Have Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up. 6+ years of experience in product management or a customer-facing role.

Technical fluency: Software engineering background (a degree in computer science or equivalent experience).

Requirements

into impactful product decisions. Bias for action and comfort wearing multiple hats and operating in fast-moving environments.

Compensation

packages at Scale for eligible roles include base salary, equity, and

, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

Benefits

. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,

including, but not limited to: comprehensive health, dental and vision coverage, retirement

, a learning and development stipend, and generous PTO.

such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located.

Qualifications

, interview performance, and relevant education or training.

Pay Transparency

purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $171,200 $214,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.