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).
- Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation
- Strong customer intuition and the ability to translate technical requirements into impactful product decisions.
- Bias for action and comfort wearing multiple hats and operating in fast-moving environments.
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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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