G2i Inc. - Senior Product Manager
Requirements
• 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
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
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