AI Product Manager, Public Sector

Responsibilities

• Become deeply fluent in Dynamo’s evaluation, guardrail, and agent governance platform, including DynamoEval, DynamoGuard, AgentWarden, and related capabilities.
• Build deep relationships with public sector customers, mission users, technical evaluators, and executive stakeholders to understand operational needs, constraints, and success criteria.
• Translate customer signal into product strategy, business cases, roadmap priorities, PRDs, and measurable product requirements.
• Lead discovery, prototyping, and iteration for public sector use cases across AI evaluation, red-teaming, runtime controls, governance, observability, and agentic systems.
• Partner with engineering, research, design, delivery, and go-to-market teams to prioritize and ship capabilities that solve real customer problems.
• Analyze AI system behavior, evaluation results, datasets, failure modes, guardrail decisions, and customer workflows to refine product direction.
• Create customer-facing narratives, demos, product collateral, battle cards, and executive-ready materials that support adoption and market readiness.
• Track whether product investments are delivering measurable outcomes, including risk reduction, deployment acceleration, operational control, and mission value.

Requirements

• 5+ years in product management, AI product strategy, technical program management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles.
• Deep expertise in Generative AI and LLM systems, including model behavior, evaluation design, red-teaming, RAG/copilot architectures, prompt injection, guardrails, observability, and agentic workflows.
• Experience building, launching, or scaling technical products for enterprise, government, regulated, or mission-critical customers.
• Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.
• Ability to translate customer needs into product requirements, business cases, roadmap priorities, success metrics, and executive-ready narratives.
• Strong analytical skills, including comfort working with datasets, benchmark results, evaluation outputs, user feedback, and product telemetry.
• Excellent writing, presentation, prioritization, and cross-functional leadership skills.
• Willingness to travel regularly to customer sites.
• U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.

Nice-to-Haves

• Experience supporting Department of War, IC, federal civilian, or other public sector customers.
• Familiarity with RMF, FedRAMP, IL environments, ATO processes, CMMC, or government software accreditation.
• Experience with AI evaluation, red-teaming, runtime guardrails, model observability, AI governance, or agentic AI systems in production environments.
• Familiarity with public sector acquisition pathways, including BAAs, OTAs, SBIR/STTR, IDIQs, production transition, or programs of record.
• Experience partnering with systems integrators, primes, federal channel partners, or public sector resellers.
• Prior experience at a defense-tech, AI, cybersecurity, cloud, or enterprise SaaS company.
• Active Secret, Top Secret, or TS/SCI clearance.

Compensation and Benefits

• Competitive compensation, equity, and benefits.
• Work at the forefront of generative AI safety and compliance.
• Partner with federal agencies, defense organizations, primes, and systems integrators to move real-world AI assurance deployments from opportunity to award and adoption.
• Be part of a mission-driven team defining the future of trustworthy AI for defense and the enterprise.