AI Product Manager
Listed on 2026-06-13
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Systems Analyst, IT Project Manager
Description
Founded in 2009, RSC2, Inc. is a Small Business Administration (SBA) Certified HUBZone Professional Services company headquartered in Baltimore, Maryland. RSC2 provides breakthrough expertise, support services, and technologies to make operations, programs and systems of record perform better. Our professional staff is trained to provide world‑class services to all types of customers. We uphold the integrity and quality of our work so you can expect only the best from us.
RSC2 is seeking an amazingly talented AI Product Manager to join our team in Hanover, MD!
RequirementsIn this role you will get to provide strategic and operational guidance to teams developing AI‑enabled solutions. This role is suited for an experienced product‑oriented professional who can help shape priorities, align stakeholders, drive disciplined execution, and keep technical efforts focused on mission value. This individual does not need to be a software engineer, but should possess strong technical fluency and enough AI literacy to engage credibly with engineers, data scientists, platform teams, and government leadership.
The ideal candidate understands how to translate mission needs into executable plans, keep complex efforts on track, and identify when programs are drifting from useful outcomes. Above all, we want someone with authentic curiosity and passion—someone who actively studies the AI landscape, learns continuously, and brings informed perspective to a fast‑changing field.
- 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.
- Active TS SCI w/ CI Polygraph security clearance required (current under 7 years)
- Min 18 years with Bachelor’s, 15 years with Master’s degree in a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline.
- Experience in product management, technical program support, capability delivery, or requirements management in a government, defense, or complex enterprise environment.
- Demonstrated ability to work with technical teams building software, data, AI, or digital solutions.
- Strong understanding of product lifecycle concepts, roadmap planning, prioritization, stakeholder management, and execution tracking.
- Familiarity with AI concepts, terminology, current capabilities, and practical implementation challenges.
- Ability to advise leadership while also engaging productively with engineers and solution teams.
- Excellent written, verbal, and briefing skills.
- Experience supporting AI, data, analytics, or software modernization efforts.
- Familiarity with Agile, SAFe, Dev Sec Ops , or iterative capability delivery models.
- Ability to understand technical topics such as LLMs, AI tools, cloud platforms, agentic workflows, evaluation, and data dependencies without needing to be a hands‑on developer.
- Experience in defense, cyber, or operational mission environments.
- Background in technology strategy, innovation…
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