Lead product management efforts across one or more strategic domains
Identify and prioritize high-impact AI use cases that expand the AI assistant’s value to clients and internal stakeholders
Work with senior product leadership along with peers leading other domain work to evolve its product vision, roadmap, and measurable success outcomes including quality, trust, adoption, and business impact
Drive initiatives through discovery, feasibility assessment, experimentation, pilot, and scale
Validate that Generative AI is the appropriate solution versus deterministic or rules-based approaches
Define measurable quality bars and acceptance criteria for its outputs, including accuracy, completeness, compliance, explainability, and latency
Establish evaluations for your domain area including ground truth creation, annotation strategies, precision and recall trade-offs, and continuous model monitoring
Partner with data science and engineering to track model performance, drift, hallucinations, confidence thresholds, and flagged interactions
Translate model behavior and evaluation results into actionable product decisions and iteration plans
Continue to work with other product teams to manage human-in-the-loop systems, including review workflows, escalation paths, and confidence gating
Collaborate closely with Legal, Compliance, Risk, and Data Governance to ensure appropriate disclosures, guardrails, and privacy controls are embedded from inception
Define acceptable versus unacceptable use cases and ensure outputs align with enterprise standards for safety, transparency, and explainability
Partner with UX and prompt engineers to design this AI assistant’s conversational experience, reducing ambiguity and supporting recovery from misunderstandings
Balance accuracy, latency, and client trust in its conversational flows
Leverage user feedback, flagged conversations, and behavioral metrics to continuously refine the AI assistant’s experience
Work closely with engineering, data science, UX, legal, compliance, operations, and business stakeholders to align on priorities and deliverables
Translate strategy into clear requirements, experiments, and execution plans
Participate in ongoing planning, departmental prioritization activities, and enterprise AI strategy discussions as required
Requirements
5 years related work experience
2 years of leading large cross-functional teams on major organizational projects preferred
Product Management experience utilizing GenAI
Undergraduate degree or equivalent combination of training and experience required