5+ years in product management, AI product strategy, or similar roles in technical fields.
Deep expertise in Generative AI and LLM systems, model behavior, and guardrails.
Experience in building or scaling products for enterprise or government clients.
Strong technical fluency in AI/ML systems and cloud environments.
Ability to translate customer needs into actionable product strategies and roadmaps.
Proficient in analytical skills and comfortable with data analysis and user feedback.
Excellent communication, writing, and leadership abilities.
Responsibilities
Become fluent in the company's AI evaluation and governance platform.
Build relationships with public sector customers and technical stakeholders.
Translate user feedback into product strategies and measurable requirements.
Lead prototyping and iteration for AI use cases in the public sector.
Collaborate with cross-functional teams to prioritize and deliver solutions.
Analyze AI behaviors and workflows to inform product direction.
Create engaging materials to support product adoption and readiness.
Benefits
Opportunity to work at the intersection of AI and public sector challenges.
Support for travel to customer sites to foster high-fidelity collaboration.
Engagement with high-stakes environments to make impactful decisions.
Opportunity to lead product innovations in AI governance.
Collaborative work culture with cross-functional teams.
Full Job Description
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.
