Asks for

The ad says“U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.”
The ad says“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.”
The ad says“5+ years in product management, AI product strategy, technical program management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“Strong analytical skills, including comfort working with datasets, benchmark results, evaluation outputs, user feedback, and product telemetry.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“5+ years in product management, AI product strategy, technical program management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“5+ years in product management, AI product strategy, technical program management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles.”

Location: Washington, DC Metro Area preferred
Role Type: Full-Time Employee, Individual Contributor
Work Model: Customer-facing product role, with regular on-site engagement and travel as needed
Clearance: U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.

About Dynamo AI

Dynamo AI helps organizations deploy AI systems that are secure, reliable, observable, policy-aligned, and production-ready. As government and enterprise customers adopt Generative AI, agentic systems, copilots, and AI-enabled workflows, Dynamo provides the custom evaluation, control, agent assurance, and observability infrastructure needed to move from experimentation to trusted production deployment.

Dynamo’s platform helps customers evaluate models and applications before deployment, protect sensitive data and enforce policy during use, govern agent actions, and maintain evidence for oversight. Our capabilities are flexible across cloud, hybrid, on-prem, edge, and air-gapped environments.

About the role

We are looking for a Public Sector AI Product Manager to help shape Dynamo’s platform for high-consequence government and national security environments.

This role sits at the intersection of AI product strategy, customer discovery, technical execution, public sector mission needs, and go-to-market enablement. You will work directly with government stakeholders, mission users, technical evaluators, security teams, and Dynamo’s engineering, research, delivery, and growth teams to turn customer signal into product direction.

This is a hands-on, customer-facing product role. You will define product requirements, guide roadmap priorities, support pilots and deployments, analyze model and system behavior, and ensure Dynamo’s investments translate into measurable customer and mission outcomes.

In This Role You’ll

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.

You Might Thrive In This Role If You

Enjoy operating at the intersection of AI, product strategy, mission needs, technical execution, and customer outcomes.
Have strong ownership instincts and are comfortable driving product direction through ambiguity.
Communicate clearly with engineers, researchers, executives, technical evaluators, mission users, and go-to-market teams.
Like spending time with customers directly, including on-site, to build a high-fidelity understanding of their workflows and constraints.
Are comfortable turning messy feedback, prototype learnings, and field observations into clear product decisions.
Think in terms of measurable outcomes, not just shipped features.
Are excited to shape AI evaluation, runtime control, and agent governance products for high-stakes public sector environments.

Preferred Qualifications

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 Have

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.