Senior Product Manager - ICA

Role overview

A senior product manager role owning the roadmap for a document intelligence platform serving federal agency clients. The position requires turning customer and reviewer needs into precise, testable requirements and deciding whether each problem belongs in the UX, source data, extraction pipeline, model, search logic, thresholds, or business rules. It suits a product leader who treats AI quality as measurable, weighing accuracy, false-positive rates, reviewer effort, and evidence requirements alongside operational performance.

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 - Convert 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 - Partner with data scientists on evaluation datasets, model metrics, confidence thresholds, and acceptable false-positive and false-negative rates - Partner with data engineers on ingestion, normalization, metadata, lineage, processing completeness, and data quality - Diagnose whether issues originate in the UI, data, model, pipeline, search, thresholds, or business rules - Prefer reusable platform capabilities over one-off client customizations - Coordinate release readiness, client demos, and structured feedback - Track accuracy, completeness, reviewer effort, latency, reliability, adoption, and cost

Requirements

- Senior PM experience delivering AI/ML, data-intensive, search, or workflow products - Experience prioritizing work across data, ML, backend, and frontend teams - 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 - 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 - Authorized to work in the US, with 3+ consecutive years of US residency - Able and willing to obtain a Public Trust clearance

Nice to have

- Document intelligence, OCR, semantic or vector search, generative AI, or human-in-the-loop workflows - Products built on AWS such as S3, DynamoDB, OpenSearch, Step Functions, SQS, EventBridge, Bedrock, SageMaker, or Textract - Regulated, healthcare, medical-device, or other high-stakes products - Model governance, explainability, evidence traceability, and reviewer workflows - Supporting multiple clients while keeping one coherent, reusable roadmap

Benefits and work setup

- Remote within Eastern Time, continental US, with DC metro area preferred - Small, collaborative environment where work stays visible - Work-life balance taken seriously