Senior Product Manager - ICA

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

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

Authorized to work in the US, with 3+ consecutive years living in the US

Able and willing to obtain a Public Trust clearance

Document intelligence, OCR, semantic or vector search, generative AI, or human-in-the-loop workflows

Products built on AWS (e.g. S3, DynamoDB, OpenSearch, Step Functions, SQS, EventBridge, Bedrock, SageMaker, 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