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AI Product Manager (Coding/Multimodal)

Scale AI · San Francisco, CA · New York, NY

CHECKED 15H AGO

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At a glance

Highlights

  • Support multimodal AI data spanning audio, image, video and world models.
  • Drive execution for Coding, Agentic and RL data products with senior PMs.
  • Help build new AI data products, tooling and evaluation workflows.

What they offer

  • Equity-based compensation subject to board approval
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend

Ideal candidate

Early-career product operator with around 3 years in cross-functional roles who thrives on ownership and organization. Curious about frontier AI and motivated to grow into full product ownership across data, customers and operations.

Requirements

  • 3 years of experience in product management, project management, product operations, consulting, technical account management, customer success, or related role
  • Strong organizational skills with ability to manage multiple projects and stakeholders simultaneously
  • Excellent written and verbal communication skills
  • Demonstrated ability to work in cross-functional environments and drive projects to completion
  • Technical curiosity and desire to learn about AI systems, machine learning, coding, or data products
  • Experience working with technical teams or customers is a plus
  • Bias for action, strong ownership mentality, and willingness to operate in fast-moving environments
  • Bachelor's degree in Computer Science, Engineering, Business, or related field or equivalent practical experience

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗