Senior Forward Deployed Strategist, Public Sector

Sitreps•Washington, DC

4d•$147,000 - $185,000•Onsite

About The Position

Our client is a venture-backed AI security company. Their platform helps government and enterprise customers put AI systems into production safely: evaluating models and applications before deployment, protecting sensitive data and enforcing policy at runtime, governing what AI agents are allowed to do, and maintaining the evidence trail oversight bodies require. The platform runs across cloud, hybrid, on-prem, edge, and air-gapped environments. The team is standing up a dedicated public sector organization, and these are early seats on it. Our client is looking for a Senior Forward Deployed Strategist to help public sector customers operationalize their platform in mission-critical environments. This role sits at the intersection of mission strategy, technical solutioning, customer execution, AI assurance, and public sector growth. You will work directly with government stakeholders, mission users, technical evaluators, systems integrators, primes, and the company's product and engineering teams to turn operational needs into deployable AI control strategies. This is a customer-facing strategy and execution role, not a traditional sales or project management role. You will shape use cases, guide pilots, support technical discovery, help customers move from evaluation into initial deployment, and make sure the work delivers measurable mission value.

Requirements

5+ years in public sector technology, defense technology, strategy consulting, technical program management, solutions, product strategy, enterprise SaaS, or other customer-facing roles.
Experience supporting government customers across the Department of War, IC, federal civilian, or national security environments.
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.
Strong technical fluency across enterprise software, cloud environments, APIs, AI/ML systems, cybersecurity, or deployment architectures.
Ability to translate customer needs into use cases, solution strategies, implementation plans, success criteria, and executive-ready narratives.
Track record managing complex stakeholders, milestones, proposals, pilots, statements of work, or cross-functional delivery efforts.
Strong problem-solving, presentation, writing, and operational judgment.
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

Hands-on experience applying AI evaluation, red-teaming, runtime guardrails, observability, or agent governance in production or customer-facing environments.
Familiarity with RMF, FedRAMP, IL environments, ATO processes, CMMC, or government software accreditation.
Familiarity with public sector acquisition pathways, including BAAs, OTAs, SBIR/STTR, IDIQs, production transition, or programs of record.
Experience working with systems integrators, primes, federal channel partners, or public sector resellers.
Prior experience at a defense-tech, AI, cybersecurity, cloud, or enterprise SaaS company.
Background in military, intelligence, federal technology, or mission-oriented consulting environments.
Active Secret, Top Secret, or TS/SCI clearance.

Responsibilities

Become deeply fluent in the company's evaluation, guardrail, and agent governance platform.
Work directly with public sector customers to identify high-impact use cases across AI evaluation, red-teaming, runtime controls, governance, observability, and agentic systems.
Translate mission needs, policy requirements, technical constraints, and stakeholder priorities into practical deployment strategies, success criteria, and implementation plans.
Create tailored demos, workshops, briefings, pilot plans, and customer-facing collateral for federal executives, technical teams, mission users, and partner organizations.
Partner with product, engineering, and delivery teams to operationalize capabilities in customer environments.
Act as an AI assurance subject-matter expert for customers, translating model, application, data, and agent risks into practical evaluations, runtime controls, and governance patterns.
Support public sector growth efforts, including RFIs/RFPs, white papers, pilot proposals, partner strategies, and expansion opportunities.
Bring field learnings back to product, engineering, research, and go-to-market teams to shape roadmap, delivery patterns, and customer strategy.