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Senior Product Manager - ICA

G2i Inc.· Outbound
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Remote$0Full-timePosted 2w ago

About the role

Senior Product Manager, Data & AI (Document Intelligence) for a DC-based government services client. Remote (continental US, Eastern Time) with DC/Metro area preferred. Full-time role focused on owning the product roadmap for a document intelligence platform, coordinating data engineering, data science, backend, search and frontend efforts, and defining measurable quality criteria for AI-driven document processing and workflows.

Responsibilities

  • Own the roadmap and priorities across data engineering, data science, backend, search and frontend teams
  • Lead discovery with clients and internal stakeholders using prototypes, demos and working software
  • Turn business needs into requirements, user stories, business rules and measurable acceptance criteria
  • Define requirements for document processing, alerts, scoring, evidence presentation, search, review workflows and source traceability
  • Work with data scientists on evaluation datasets, model metrics, confidence thresholds, and acceptable false-positive and false-negative rates
  • Work with data engineers on ingestion, normalization, metadata, lineage, processing completeness and data quality
  • Diagnose whether an issue comes from the UI, data, model, pipeline, search, thresholds or business rules
  • Favor reusable platform capabilities over one-off client customizations
  • Coordinate release readiness, client demos and structured feedback
  • Measure accuracy, completeness, reviewer effort, latency, reliability, adoption and cost
  • Communicate priorities, tradeoffs and limitations clearly to clients and internal teams

Qualifications

  • Senior PM experience delivering AI/ML, data-intensive, search or workflow products
  • Experience prioritizing work across data, ML, backend and frontend teams
  • A track record of discovery driven by prototypes or demos
  • Skill turning business needs into detailed, technical, testable requirements
  • Experience defining acceptance criteria for probabilistic features such as model outputs, alerts, recommendations or rankings
  • A solid grasp of data pipelines, APIs, data quality, system dependencies and model behavior
  • Close working experience with data scientists, data engineers, software engineers and UX
  • Strong stakeholder management, facilitation, writing and decision-making

Skills

Required:AI/ML product managementData pipelines and data qualityDiscovery and requirement craftingStakeholder management
Last updated Oct 15, 2026. Interested? Apply on the company site.

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