Jobs · Marketing · California

AI Product Manager

Scale AI · San Francisco Bay Area · 4 days ago
HybridMarketing$171k–$214k/yrFull-time

About the role

Scale is a leading AI data foundry dedicated to advancing AI through frontier model training, enterprise adoption, defense applications, and autonomous vehicles. We are seeking an AI Product Manager to lead the Agent & Reinforcement Learning Environments data vertical, focusing on Computer Using Agent (CUA) data. This role involves overseeing the product roadmap, managing data pipelines, and collaborating with research teams to develop and refine RL environments.

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 the weeds of research, operations, and customer interactions.

Requirements

  • A strong entrepreneurial and go-to-market mindset, combined with technical depth in software engineering and understanding of reinforcement learning, simulation environments, or data pipelines for model training and evaluation.
  • A bias for action and comfort with multiple hats and fast-paced environments.

Qualifications

  • 6+ years of experience in product management or a customer-facing role.
  • Technical fluency, including a degree in computer science or equivalent experience.
  • Strong customer intuition and the ability to translate technical requirements into impactful product decisions.

Skills

  • Strategic thinking and the ability to influence both internal and external roadmaps.
  • Experience in building and managing technical partnerships with research teams.
  • Expertise in designing and delivering high-quality data pipelines, tooling, and evaluation frameworks.
  • Ability to scope out and scale the creation of RL environments that simulate real-world use cases.
  • Comfort with ambiguity and the ability to wear multiple hats in fast-moving environments.

Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and 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, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, 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. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located.

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