Engagement Manager (hawaii), Public Sector

Scale AI Scale AI · Data AI · Honolulu, HI · Public Sector

Scale AI is seeking an Engagement Manager to lead and coordinate the delivery of agentic workflows for a national security customer. This role involves managing customer relationships, overseeing project teams, and ensuring customer success by identifying needs and pain points. The ideal candidate blends program leadership, customer relationship building, technical fluency, and contract awareness in a fast-moving, mission-driven environment.

What you'd actually do

  1. Manage customer relationships from the executive to the end user
  2. Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately 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

  • Active TS/SCI clearance
  • 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
  • Excellent verbal and written communication skills
  • Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed)

Nice to have

  • 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
  • Prior experience at an API technology company and / or managing technical customers using an API
  • A technical degree in computer science, engineering, or related field
  • Proficiency in Python, SQL or other programming languages
  • Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

What the JD emphasized

  • agentic workflows
  • AI/ML objectives