Senior Product Manager – ICA

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the roadmap and set priorities across data engineering, data science, backend, search, and frontend teams.

• Lead client and internal stakeholder discovery sessions utilizing prototypes, demonstrations, and functional software.

• Transform business requirements into user stories, business rules, and measurable acceptance criteria.

• Specify requirements for document processing, alerts, scoring, evidence presentation, search functionalities, review workflows, and source traceability.

• Collaborate with data scientists on evaluation datasets, model metrics, confidence thresholds, as well as acceptable false-positive and false-negative rates.

• Partner with data engineers on aspects such as ingestion, normalization, metadata, lineage, processing completeness, and data quality.

• Troubleshoot to determine whether issues arise from the UI, data, model, pipeline, search parameters, thresholds, or business rules.

• Prioritize reusable platform capabilities over one-off customizations for clients.

• Manage release readiness, client demonstrations, and structured feedback processes.

• Assess metrics like accuracy, completeness, reviewer effort, latency, reliability, adoption, and cost.

• Clearly communicate priorities, trade-offs, and limitations to both clients and internal teams.

⛳️ Requirements

• Proven senior PM experience in delivering AI/ML, data-intensive, search, or workflow products.

• Experience in prioritizing work across data, machine learning, backend, and frontend teams.

• A history of driving discovery through prototypes or demonstrations.

• Ability to convert business needs into comprehensive, technical, and testable requirements.

• Experience in defining acceptance criteria for probabilistic features like model outputs, alerts, recommendations, or rankings.

• Strong understanding of data pipelines, APIs, data quality, system dependencies, and model behavior.

• Extensive collaboration experience with data scientists, data engineers, software engineers, and UX teams.

• Excellent skills in stakeholder management, facilitation, writing, and decision-making.

• Authorized to work in the US, having resided there for 3+ consecutive years.

• Willing and able to obtain a Public Trust clearance.

• Nice to have: Experience with document intelligence, OCR, semantic or vector search, generative AI, or human-in-the-loop workflows.

• Nice to have: Familiarity with products built on AWS, including S3, DynamoDB, OpenSearch, Step Functions, SQS, EventBridge, Bedrock, SageMaker, or Textract.

• Nice to have: Experience with regulated, healthcare, medical-device, or other high-stakes products.

• Nice to have: Knowledge of model governance, explainability, evidence traceability, and reviewer workflows.

• Nice to have: Experience supporting multiple clients while maintaining a coherent and reusable roadmap.

🏝️ Benefits

• Commitment to work-life balance.

• Flexible remote work options.

• Opportunity to collaborate closely with an engaged client team.

• Work on high-visibility projects within a small team.