AI Product Manager (Coding/Multimodal)
Scale AI · San Francisco, CA · New York, NY
CHECKED 15H AGO
Infrastructureonsitejunior
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