Scale AI
Engagement Manager (Homeland Layered Defense), Public Sector
$166K–$208K
Washington, DC +1 · Manager · Full-time · Posted Aug 24, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- 5+ years in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role.
About the job
Manages government customer relationships and delivery teams to translate homeland defense mission needs into AI and agentic workflows, drive adoption, and deliver Scale’s capabilities in operational environments.
What you'll do
- Own customer relationships and create structured engagement programs for operators and analysts.
- Translate customer workflows into AI use cases and technical or product requirements; incorporate user feedback into delivery priorities.
- Lead cross-functional delivery and plan customer testing, demonstrations, briefings, and onsite engagements.
What they ask for
- Active TS/SCI clearance.
- Experience translating complex customer workflows into structured technical or product requirements.
- Demonstrated ability to build trust with senior executives and operational users; strong technical fluency and communication skills.
- Comfort working extensively in secure facilities and air-gapped government systems; willingness to travel 25–50%.
Nice to have
- Prior military or civilian experience in a Combatant Command, Numbered Air Force, Air Operations Center, Joint Intelligence Operations Center, or Intelligence Community agency.
- Experience deploying software in operational environments, writing Product Requirements Documents, or supporting government test and evaluation events; familiarity with listed mission areas.
Pay
$166,400 — $208,000 USD (base salary)
Tools
AI, agentic workflows
AI focus
Translate operational workflows into AI and agentic workflow use cases; deliver agentic AI to orchestrate portfolio management for homeland defense.
Model-written summary · the original posting is authoritative