Staff Technical Product Manager

Company: Scale AI
Apply for the Staff Technical Product Manager
Location: London
Job Description:

Overview

As Staff Technical Product Manager within Scale’s Global Defense, you own the roadmap for one or more defense-focused product areas and drive end-to-end delivery. You will be a hands-on leader who prototypes solutions, defines technical specs, and collaborates with engineers and ML teams to ship AI-powered defense workflows. You’ll translate allied defense needs into strong product decisions while navigating complex, classified environments. This role offers high-impact work shaping Scale’s defense products for national security customers.

Responsibilities

  • Own product roadmap and execution for Global Defense areas, guiding what gets built and how it ships
  • Write specs, prototype solutions, and discuss architecture with engineers to ground decisions in technical reality
  • Design and ship AI-powered tools for defense and national security workflows
  • Leverage customer context from allied defense partners to inform product direction
  • Navigate defense development constraints across allied nations, including classification environments and air-gapped deployments
  • Operate like a founding team member, multitask across engineering, operations, and go-to-market to drive outcomes

Key requirements

  • 8+ years of experience in software engineering, ML engineering, or a deeply technical product role with hands-on shipping experience
  • Technical fluency in software engineering or ML; master’s degree in computer science or equivalent
  • Experience training or evaluating models is advantageous
  • Strong curiosity about AI systems and ability to form strong technical opinions on design
  • Customer intuition with a builder mindset; bias for action in fast-moving environments
  • Willingness to travel to allied partner nations as needed
  • customer-centric mindset
  • bias for action
  • ability to operate across multiple domains (engineering, operations, GTM)
  • software engineering background
  • ML engineering background
  • experience with training or evaluating models

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Posted: October 1st, 2026