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HomeCompaniesArsiemAI Product Manager – SME

AI Product Manager – SME

Arsiem · Columbia, MD · On Site · Active · Lever

Job facts

FieldValue
CompanyArsiem
TitleAI Product Manager – SME
Normalized title-
Department / teamComputer and Information Systems Manager / 0007-0028
LocationColumbia, MD, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-06-03 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Arsiem.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Columbia.Open
Department jobsActive postings in Computer and Information Systems Manager.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyArsiem
Source017268e1-454e-4c3f-b641-8da3ae7efde3
ATS providerLever

Description

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients.  We provide support to multiple agencies across the United States Government.  ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients.  That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for an AIGG Management Analyst. This position will support one of our Government clients in Columbia, Maryland. Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500,  and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. 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. Minimum Qualifications Min 18 years with Bachelors, 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. Preferred Qualifications Experience supporting AI, data, analytics, or software modernization efforts. Familiarity with Agile, SAFe, DevSecOps, 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 support, requirements development, or portfolio management.

Full job record

Job ID4c4cb7278fe24621be32b4d31d1e9a68a163a021
Org ID2db0e30f-960e-49a1-a9b4-49ffbe613325
Source ID017268e1-454e-4c3f-b641-8da3ae7efde3
Board ID017268e1-454e-4c3f-b641-8da3ae7efde3
Providerlever
Provider Job Keyec40c92d-e6b7-48d3-afc2-ccc5423b0de8
TitleAI Product Manager – SME
Normalized Title
Statusactive
Activeyes
Location TextColumbia, MD
DepartmentComputer and Information Systems Manager
Team0007-0028
Employment TypeFull-time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionMD
CityColumbia
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/arsiem/ec40c92d-e6b7-48d3-afc2-ccc5423b0de8
Apply URLhttps://jobs.lever.co/arsiem/ec40c92d-e6b7-48d3-afc2-ccc5423b0de8/apply
First Seen At2026-06-06 07:54:59Z
Last Seen At2026-06-06 18:44:29Z
Last Checked At2026-06-06 18:44:29Z
Last Changed At2026-06-06 07:54:59Z
Inactive At
Source Posted At2026-06-03 03:55:19Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=arsiem/date=2026-06-06/2026-06-06T18-44-28-898Z-16c569b4d4a4fa41865d8c46c03515e275f0ffe19eeef81c009aedbde882011f.json
Event Fields
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  "last_changed_at": "2026-06-06T07:54:59.902Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "\n<li>Provide SETA advisory support to government leadership and technical teams on AI product strategy, planning, and execution.</li>\n<li>Help define and refine AI use cases, product goals, success criteria, priorities, and delivery roadmaps.</li>\n<li>Guide teams in aligning AI solution development with mission outcomes, user needs, operational constraints, and program objectives.</li>\n<li>Monitor effort execution and help keep teams on track with milestones, dependencies, risks, and decision points.</li>\n<li>Support requirements development, backlog shaping, capability prioritization, and stakeholder coordination.</li>\n<li>Translate between technical teams and non-technical leadership, ensuring shared understanding of what is being built, why it matters, and what risks exist.</li>\n<li>Advise on AI adoption challenges, including scope control, change</li>\n<li>management, user trust, operational fit, and realistic implementation sequencing.</li>\n<li>Review proposed AI solutions for feasibility, mission relevance, and alignment with available resources and timelines.</li>\n<li>Support briefings, planning artifacts, concept papers, product documentation, and executive communications.</li>\n<li>Help identify when teams need course correction, sharper problem framing, better metrics, or more disciplined execution.</li>\n"
    },
    {
      "text": "Minimum Qualifications",
      "content": "\n<li>Min 18 years with Bachelors, 15 years with Master's degree in a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline.</li>\n<li>Experience in product management, technical program support, capability delivery, or requirements management in a government, defense, or complex enterprise environment.</li>\n<li>Demonstrated ability to work with technical teams building software, data, AI, or digital solutions.</li>\n<li>Strong understanding of product lifecycle concepts, roadmap planning, prioritization, stakeholder management, and execution tracking.</li>\n<li>Familiarity with AI concepts, terminology, current capabilities, and practical implementation challenges.</li>\n<li>Ability to advise leadership while also engaging productively with engineers and solution teams.</li>\n<li>Excellent written, verbal, and briefing skills.</li>\n"
    },
    {
      "text": "Preferred Qualifications",
      "content": "\n<li>Experience supporting AI, data, analytics, or software modernization efforts.</li>\n<li>Familiarity with Agile, SAFe, DevSecOps, or iterative capability delivery models.</li>\n<li>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.</li>\n<li>Experience in defense, cyber, or operational mission environments.</li>\n<li>Background in technology strategy, innovation support, requirements development, or portfolio management.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1780458919405,
  "updatedAt": null,
  "categories": {
    "team": "0007-0028",
    "location": "Columbia, MD",
    "commitment": "Full-time",
    "department": "Computer and Information Systems Manager",
    "allLocations": [
      "Columbia, MD"
    ]
  },
  "salaryRange": null,
  "workplaceType": "onsite"
}
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