Staff Technical Product Manager

About the role

The Staff Technical Product Manager will own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. This is a defense role.

Responsibilities

• Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
• Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
• Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
• Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
• Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
• Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market

Requirements

• Builder mentality: you’re energized by going from zero to one, not by managing from a distance
• 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
• Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
• Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
• Enough customer instinct to know what matters, but your default mode is building, not selling
• Bias for action and comfort wearing multiple hats in fast-moving environments
• Willingness to travel to allied partner nations as needed

Qualifications

Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus

Skills

Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built

Benefits

At Scale, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Pay

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Schedule

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.