AI Product Manager (Coding/Multimodal)

Scale AI; San Francisco (CA); On-site; USD 171,200 - 214,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning stipend

PTO

Job summary

Scale AI is seeking an AI Product Manager to own the Agent & RL Environment data vertical, focusing on CUA data and researcher-facing tools. You will manage the product roadmap, treat data as a product, and build pipelines for data generation and quality while working with labs to train and evaluate intelligent agents.

The role requires an entrepreneurial mindset, technical depth, and the ability to engage with researchers and customers to drive mission-critical outcomes.

Qualifications

• Entrepreneurial mindset with ability to build new products from the ground up.
• 6+ years of experience in product management or a customer-facing role.
• Technical background in software engineering (degree in computer science or equivalent).
• Understanding of reinforcement learning, simulation environments, or data pipelines for model training and evaluation.
• Strong customer intuition and translating technical requirements into product decisions.

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 engaging in research, operations, and customer interactions.

Skills

Entrepreneurial mindset

Product management

Customer-facing experience

Technical fluency

Reinforcement learning

Data pipelines / RL environments

Stakeholder communication

Education

Degree in computer science or equivalent

Job description

Overview

Scale is a leading AI data foundry focused on frontier model training, enterprise adoption, defense applications, and autonomous systems. Our mission is to develop reliable AI systems for the world’s most important decisions. We are seeking an AI Product Manager to own the Agent & Reinforcement Learning Environments data vertical, with a focus on Computer Using Agent (CUA) data. You will oversee the product roadmap for your data vertical, manage data as a product, pipelines for data generation and quality, and researcher-facing tools to help labs train and evaluate intelligent agents in complex environments. You will work directly with Scale’s most important customers and researchers, representing Scale as the technical expert for your products and influencing internal and external roadmaps.

The ideal candidate combines an entrepreneurial mindset, technical depth, and a grasp of AI research to engage technical stakeholders and drive mission-critical outcomes.

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 engaging in research, operations, and customer interactions.

Qualifications

• 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 (degree in computer science or equivalent).
• 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 in fast-moving environments.

Compensation and Benefits

Base salary range: $171,200 - $214,000 USD. Compensation packages include base salary, equity, and benefits. Eligible roles may include equity-based compensation, subject to board approval. Benefits include health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits such as a commuter stipend may be available depending on location and role.

Equal Opportunity

Scale is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, or veteran status. We are committed to providing reasonable accommodations in the application process for applicants with disabilities.