Staff Product Manager, Agentic Platform
Scale AI · New York, NY; San Francisco, CA; Washington, DC · New York, NY · Washington, DC
CHECKED 14H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Build agentic AI platforms powering national-level defense decisions.
- Ship agentic warfare, scenario planning and intel warning integrations.
- Deliver deep research and Text-to-SQL tools for analyst workflows.
What they offer
- base salary
- equity
- benefits
Ideal candidate
Mission-driven product leader excited by national security impact who thrives in ambiguity and loves partnering with government stakeholders to turn cutting-edge AI into secure, ethical enterprise products.
Requirements
- Active TOP SECRET security clearance (TS/SCI eligibility preferred)
- Technical degree in computer science, engineering, or equivalent experience
- 4+ years building ML-powered and/or enterprise-facing products
- Strong understanding of generative AI technologies and applications in public or large-scale private settings
- Experience operating in fast-paced, high-ambiguity environments
- Exceptional leadership, presentation and communication skills with ability to influence cross-functional teams
- Data literacy and experience with data analytics
- Prior military or government experience
- Coding experience (e.g. Python)
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