Scale AI
Forward Deployed Product Manager, Public Sector
$200K–$345K
New York, NY +3 · Manager · Full-time · Posted Jul 14, 2026
- Location
- New York, NY
Washington, DC
New York, New York, United States
Washington, District of Columbia, United States - Experience
- 6+ years in product management, technical program management, or customer-facing product ownership.
About the job
Own product outcomes and production deployments for military planning and real-time AI and alerting capabilities across U.S. national security customers, translating field needs into platform direction.
What you'll do
- Lead product delivery and customer value across military planning and national security accounts for LUX, coordinating stakeholders and teams.
- Drive deployments from contract to production in classified or operationally constrained environments, resolving product, integration, policy, and execution blockers.
- Translate operational workflows and constraints into evidence-backed product input, build senior stakeholder trust, and identify value-based expansion opportunities.
What they ask for
- Active TOP SECRET security clearance; TS/SCI eligibility preferred.
- 6+ years in product management, technical program management, or a customer-facing product ownership role.
- Direct experience with the U.S. Department of War or broader U.S. national security community; experience shipping AI or data products into large, constrained, classified, or highly regulated organizations.
- Working knowledge of military planning and modeling/simulation, or real-time streaming data systems; ability to travel, including to classified facilities.
Nice to have
- Direct experience with AI/ML platform products, including agentic capabilities, data labeling, RLHF, fine-tuning, or model evaluation.
- Familiarity with Kafka, Flink, or Kinesis; startup, forward-deployed, or military/DoD/DoW civilian experience.
Pay
$210,000 — $345,000 USD (base salary); $200,000 — $311,000 USD (base salary)
Tools
AFSIM, Kafka, Flink, Kinesis
AI focus
Leads product outcomes and deployments for AI capabilities in military planning and real-time alerting; brings customer and operational requirements to platform teams. The posting also cites AI/ML platforms, agents, RLHF, fine-tuning, and model evaluation as relevant experience.
Model-written summary · the original posting is authoritative