AI Product Manager
Own the product roadmap for Scale's Agent & Reinforcement Learning Environment data vertical with focus on Computer Using Agent (CUA) data. Build partnerships with AI labs, design data pipelines and RL environments, and drive execution across teams. Requires 6+ years PM experience, software engineering background, and RL knowledge.
About the job
Responsibilities
- 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 into research, operations, and customer interactions.
Requirements
- 6+ years of experience in product management or a customer-facing role.
- Software engineering background (a degree in computer science or equivalent experience).
- Understanding of reinforcement learning, 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.
Nice-to-Haves
- Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.
Skills
Product Management, Reinforcement Learning, Simulation Environments, Data Pipelines, Model Training, Model Evaluation, Software Engineering, Computer Science, Ai Research
Similar jobs
Product Management jobsOwn the roadmap and lifecycle of agentic analytics products, partnering with customers and cross-functional teams to improve agent quality, trust, latency, and cost. Requires 3+ years of product management experience plus hands-on experience with LLMs, agentic workflows, SQL, and analytical databases.
Owns the roadmap and delivery of Forge’s financial data products, including pricing, indices, reference data, and distribution. Requires 5–8 years managing financial data products and the ability to align engineering, research, operations, and commercial stakeholders.
Senior Product Manager responsible for strategy, business cases, pricing, and go-to-market for Okta's cloud infrastructure products such as Enhanced Disaster Recovery, Private Cloud, and DynamicScale. Requires 3-5+ years PM experience, strong cloud knowledge (AWS/GCP), and ability to drive cross-functional execution in a fast-paced environment.
Own the product direction and architecture for Rippling’s production agent harness, memory systems, self-improvement loop, and execution infrastructure. The role requires a software engineering background, 5+ years of combined experience, and hands-on experience shipping agentic systems.
Leads strategy and execution for global Employer of Record and payroll products across more than 100 countries. The role requires 8+ years of product management experience, regulated-domain expertise, strong systems thinking, and cross-functional leadership.