AI Product Manager - SETA

SAIC•Hanover, MD

4d•Onsite

About The Position

Varen, an SAIC Company is seeking an AI Product Manager - SETA to join their team in Hanover, MD. This role requires a TS/SCI with polygraph clearance. The position is for an experienced product-oriented professional who can provide strategic and operational guidance to teams developing AI-enabled solutions. The ideal candidate will shape priorities, align stakeholders, drive execution, and ensure technical efforts focus on mission value. While not requiring a software engineering background, strong technical fluency and AI literacy are essential for credible engagement with engineers, data scientists, platform teams, and government leadership. The candidate should understand how to translate mission needs into executable plans, manage complex efforts, and identify when programs deviate from useful outcomes. A genuine curiosity and passion for the AI landscape, continuous learning, and bringing informed perspectives to this rapidly evolving field are highly valued.

Requirements

TS/SCI with polygraph clearance
Strong technical fluency
Sufficient AI literacy to engage credibly with engineers, data scientists, platform teams, and government leadership
Ability to translate mission needs into executable plans
Ability to keep complex efforts on track
Ability to identify when programs are drifting from useful outcomes
Authentic curiosity and passion for AI
Active study of the AI landscape
Continuous learning
Informed perspective in a fast-changing field

Responsibilities

Provide SETA advisory support to government leadership and technical teams on AI product strategy, planning, and execution.
Help define and refine AI use cases, product goals, success criteria, priorities, and delivery roadmaps.
Guide teams in aligning AI solution development with mission outcomes, user needs, operational constraints, and program objectives.
Monitor effort execution and help keep teams on track with milestones, dependencies, risks, and decision points.
Support requirements development, backlog shaping, capability prioritization, and stakeholder coordination.
Translate between technical teams and non-technical leadership, ensuring shared understanding of what is being built, why it matters, and what risks exist.
Advise on AI adoption challenges, including scope control, change management, user trust, operational fit, and realistic implementation sequencing.
Review proposed AI solutions for feasibility, mission relevance, and alignment with available resources and timelines.
Support briefings, planning artifacts, concept papers, product documentation, and executive communications.
Help identify when teams need course correction, sharper problem framing, better metrics, or more disciplined execution.