Engagement Manager (germany), Public Sector

Scale AI Scale AI · Data AI · Washington, DC · Public Sector

Scale AI is seeking an Engagement Manager for their public sector team to lead and coordinate the delivery of agentic AI workflows for national security missions. The role involves managing customer relationships, scoping use cases, leading cross-functional teams, and ensuring customer success, with a requirement to travel to and eventually relocate to Germany. A basic understanding of GenAI/ML is needed, but the primary focus is on program leadership, technical fluency, and contract awareness within a fast-paced, mission-driven environment.

What you'd actually do

  1. Manage customer relationships from the executive to the end user
  2. Be forward deployed in Germany with customers to scope agentic workflow use cases that Scale’s engineering team will build and refine
  3. Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
  4. Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
  5. Oversee onboarding and successful implementation of customer accounts

Skills

Required

  • 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
  • A track record of structured, analytics-driven problem solving
  • A basic understanding of GenAI/ML
  • Excellent verbal and written communication skills
  • Willingness to initially travel 50% of the time to Germany and ultimately relocate there

Nice to have

  • 10+ years of professional experience, often in a customer-facing technical program management role in industry or government.
  • A technical background (education or professional experience with computer science, economics, statistics, engineering)
  • A proven track record in B2B client-facing roles and expanding client relationships
  • Prior experience owning the technical implementation of solutions to the government
  • Domain expertise in a relevant field (e.g. modeling and simulation, joint planning, intelligence workflows)

What the JD emphasized

  • active TS/SCI clearance
  • agentic workflow use cases