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Product Manager

Hatchit · Washington, DC · Hybrid · Deleted · $150,000–$180,000 / year · Lever

Job facts

FieldValue
CompanyHatchit
TitleProduct Manager
Normalized title-
Department / teamFeatured Hatch Accounts / Expression
LocationWashington, DC, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$150,000–$180,000 / year
Statusdeleted
ATS providerLever
Posted / first seen2026-05-11 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-01

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hatchit.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 Washington.Open
Department jobsActive postings in Featured Hatch Accounts.Open
Work model jobsActive Hybrid 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

CompanyHatchit
Sourcee2ea7802-e924-462c-bda6-32def5821788
ATS providerLever

Description

hatch I.T. is partnering with Expression to find a Product Manager. See details below: About The Role: Expression is seeking a Product Manager to join their Product Team. This role is critical for the intersection of product, engineering, and client engagement, supporting the development and evolution of Expression’s Agentic AI platform. This platform enables enterprise customers—particularly within National Security and Federal Civilian sectors—to move from generative AI that “chats” to trusted and verifiable systems that “act.” This role is responsible for building, delivering, and continuously improving product capabilities while working closely with stakeholders, customers, and cross-functional teams. You’ll be embedded in a cross-functional product pod alongside frontend and backend engineers, AI engineering, QA/test, DevSecOps, design, and technical writing. The ideal candidate combines strong technical fluency with product thinking, thrives in a fast-paced environment, and demonstrates a strong bias for action and ownership. About the Company: Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review. Responsibilities: Product Management & Delivery Own the product vision, strategy, and roadmap for your area of the platform. Solicit, refine, and prioritize requirements from current and prospective customers, the Expression executive team, and other internal stakeholders Define, prioritize, and deliver end-to-end product features supporting the Agentic AI platform Define requirements for LLM-based services, agent workflows, and orchestration layers Take full ownership of features from concept through production, including testing, deployment, and monitoring Track and drive improvements to product performance and reliability through metrics and partnership with engineering Product Collaboration & Execution Translate customer and business needs into clear product requirements with documented trade-offs Collaborate with engineering, design, and stakeholders to refine features and ensure alignment with business goals Contribute to backlog refinement, sprint planning, and agile ceremonies Provide input on feasibility, scope, and technical design decisions Customer Engagement & Implementation Collaborate directly with clients to support implementation and adoption of the platform Participate in product demonstrations and technical discussions with current and potential customers Translate client needs into actionable technical solutions and enhancements Support deployment and customization efforts in mission environments Platform Evolution & Innovation Contribute to the design and influence the evolution of core platform architecture and components Influence system scalability, reliability, and performance improvements Lead or contribute to research, prototyping, and evaluation of emerging technologies Track emerging AI tools, techniques, and research, and surface promising candidates for evaluation and potential platform integration Data, AI, and System Design Define product strategy and requirements for retrieval and context engineering systems Drive product direction for vector search systems and vector database integration Shape product strategy for LLM-based applications targeted at enterprise use Ensure efficient data flows and integration across platform components AI Safety, Evaluation & Trust Define and prioritize requirements for evaluation frameworks, agent behavior monitoring, and red-teaming. Partner with engineering and security to ensure agentic systems behave safely, predictably, and within mission constraints. Champion practices that make agentic AI verifiable to customers — explainability, auditability, and traceability of agent actions. Cross-Functional Collaboration Work closely with engineering, design, marketing, business development, infrastructure, and security teams Communicate technical concepts clearly to both technical and non-technical audiences Produce technical documentation, architecture diagrams, and design proposals Continuous Improvement & Product Thinking Use metrics, user feedback, and experimentation to improve product capabilities Balance speed, quality, and long-term maintainability in engineering decisions Advocate for the end user through thoughtful feature design and implementation Qualifications: Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or related field. 8+ years of progressive product management experience, ideally in federal IT or enterprise software environments. Working knowledge of agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, Strands, or similar) Technical fluency sufficient to engage credibly with engineers on AI/ML services and APIs Familiarity with retrieval and context engineering approaches and how they’re built and deployed Familiarity with vector search systems and vector databases Experience shaping product strategy for LLM-based applications Familiarity with Docker and cloud-native environments (AWS and/or Azure) Excellent written and verbal communication skills Active Secret clearance or above ideal but not required Eligible to obtain clearance (U.S. Citizenship required) Preferred Qualifications: SAFe POPM (Product Owner/Product Manager), CSPO, or Pragmatic Institute certification. Cloud certifications (AWS, Azure, Google Cloud). Technical familiarity with modern data platforms (SQL, NoSQL, data lakes). Direct experience working with or within public sector organizations (Federal civilian, DoD, intelligence community). Hands-on software development experience. Background in machine learning research or engineering. Experience prototyping new product concepts. What Success Looks Like: In your first 6 months, you’ll build deep working relationships across engineering, design, and customers; take ownership of the roadmap for your product area; and establish a regular discovery cadence grounded in real mission needs. By the end of your first year, you’ll have shipped meaningful improvements to platform adoption and reliability backed by clear metrics, surfaced emerging customer needs that influence the broader platform roadmap, and delivered at least one major new capability that materially expands what customers can accomplish.

Full job record

Job ID592bf56e798408b7e0d4f2c8caed3bb08136fd0c
Org ID3883f6fa-759f-4977-ab65-05926fcbad14
Source IDe2ea7802-e924-462c-bda6-32def5821788
Board IDe2ea7802-e924-462c-bda6-32def5821788
Providerlever
Provider Job Key4268b74b-7b10-4d0e-9dbf-72a55a612c78
TitleProduct Manager
Normalized Title
Statusdeleted
Activeno
Location TextWashington, DC
DepartmentFeatured Hatch Accounts
TeamExpression
Employment TypeFull Time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionDC
CityWashington
Salary RawUSD 150000-180000 per-year-salary
Salary Min150,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/hatchit/4268b74b-7b10-4d0e-9dbf-72a55a612c78
Apply URLhttps://jobs.lever.co/hatchit/4268b74b-7b10-4d0e-9dbf-72a55a612c78/apply
First Seen At2026-05-29 07:02:02Z
Last Seen At2026-06-01 11:03:59Z
Last Checked At2026-06-03 12:30:33Z
Last Changed At2026-06-03 12:30:33Z
Inactive At2026-06-03 12:30:33Z
Source Posted At2026-05-11 13:03:56Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=hatchit/date=2026-06-01/2026-06-01T11-03-59-191Z-6943e8d5d0a245d492c40fbfb3428820cb8fdfae8d02c2505d5b4b2718c6f534.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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    {
      "text": "Responsibilities: ",
      "content": "<div>\n<p><strong>Product Management &amp; Delivery</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Own the product vision, strategy, and roadmap for your area of the platform.</li>\n<li>Solicit, refine, and prioritize requirements from current and prospective customers, the Expression executive team, and other internal stakeholders</li>\n<li>Define, prioritize, and deliver end-to-end product features supporting the Agentic AI platform</li>\n<li>Define requirements for LLM-based services, agent workflows, and orchestration layers</li>\n<li>Take full ownership of features from concept through production, including testing, deployment, and monitoring</li>\n<li>Track and drive improvements to product performance and reliability through metrics and partnership with engineering</li>\n\n<p><strong>Product Collaboration &amp; Execution</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Translate customer and business needs into clear product requirements with documented trade-offs</li>\n<li>Collaborate with engineering, design, and stakeholders to refine features and ensure alignment with business goals</li>\n<li>Contribute to backlog refinement, sprint planning, and agile ceremonies</li>\n<li>Provide input on feasibility, scope, and technical design decisions</li>\n\n<p><strong>Customer Engagement &amp; Implementation</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Collaborate directly with clients to support implementation and adoption of the platform</li>\n<li>Participate in product demonstrations and technical discussions with current and potential customers</li>\n<li>Translate client needs into actionable technical solutions and enhancements</li>\n<li>Support deployment and customization efforts in mission environments</li>\n\n<p><strong>Platform Evolution &amp; Innovation</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Contribute to the design and influence the evolution of core platform architecture and components</li>\n<li>Influence system scalability, reliability, and performance improvements</li>\n<li>Lead or contribute to research, prototyping, and evaluation of emerging technologies</li>\n<li>Track emerging AI tools, techniques, and research, and surface promising candidates for evaluation and potential platform integration</li>\n\n<p><strong>Data, AI, and System Design</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Define product strategy and requirements for retrieval and context engineering systems</li>\n<li>Drive product direction for vector search systems and vector database integration</li>\n<li>Shape product strategy for LLM-based applications targeted at enterprise use</li>\n<li>Ensure efficient data flows and integration across platform components</li>\n\n<p><strong>AI Safety, Evaluation &amp; Trust</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Define and prioritize requirements for evaluation frameworks, agent behavior monitoring, and red-teaming.</li>\n<li>Partner with engineering and security to ensure agentic systems behave safely, predictably, and within mission constraints.</li>\n<li>Champion practices that make agentic AI verifiable to customers — explainability, auditability, and traceability of agent actions.</li>\n\n<p><strong>Cross-Functional Collaboration</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Work closely with engineering, design, marketing, business development, infrastructure, and security teams</li>\n<li>Communicate technical concepts clearly to both technical and non-technical audiences</li>\n<li>Produce technical documentation, architecture diagrams, and design proposals</li>\n\n<p><strong>Continuous Improvement &amp; Product Thinking</strong></p>\n<ul style=\"list-style-type: disc;\">\n<li>Use metrics, user feedback, and experimentation to improve product capabilities</li>\n<li>Balance speed, quality, and long-term maintainability in engineering decisions</li>\n<li>Advocate for the end user through thoughtful feature design and implementation</li>\n\n</ul></ul></ul></ul></ul></ul></ul></ul></div>"
    },
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      "text": "Qualifications: ",
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    },
    {
      "text": "What Success Looks Like: ",
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