Product Management Lead, AI

Responsibilities

• Own and maintain the Operational AI and agentic product portfolio roadmap, defining where AI should assist, advise, or act autonomously, aligned to enterprise product and Responsible AI standards
• Translate process discovery insights and business demand into AI-ready product backlogs, including autonomy levels, HITL workflows, guardrails, and success metrics
• Lead AI-specific product trade-off decisions, balancing value vs. risk, autonomy vs. control, model cost vs. quality, and reuse vs. time-to-impact
• Define product hypotheses, evaluation criteria, and trust thresholds for AI capabilities (e.g., accuracy, containment, correction rates, explainability, user confidence)
• Partner with Architecture, Data, and Engineering to shape feasible AI solutions that meet business intent, Responsible AI requirements, and operational constraints—without owning technical design
• Own adoption and behavior-change strategy for AI products, incorporating rollout feedback, user corrections, and realized outcomes into roadmap evolution
• Establish and operate autonomy governance with Responsible AI, Legal, Risk, and Operations to determine when AI may act, advise, or must defer to human approval
• Lead and develop Product Managers, strengthening AI product craft across outcome definition, HITL design, evaluation planning, and risk stewardship
• Communicate product status, risks, and performance using AI-relevant evidence, including adoption, trust signals, correction rates, cost per interaction, and value realization

• Bachelor's Degree plus at least 12 years of product management experience, including demonstrated ownership of AI-enabled or decision-automation outcomes, and at least 4 years in a product leadership role, or demonstrated equivalent experience and education
• Proven experience owning outcomes for AI-enabled products, including autonomy decisions, adoption strategy, and measurable business impact
• Strong ability to translate business problems into AI-ready product definitions, including intents, guardrails, evaluation plans, and human-AI workflows
• Demonstrated judgment balancing AI value, risk, trust, and cost under real-world constraints
• Excellent communication and stakeholder influence skills across Product, Responsible AI, Architecture, Data, Operations, and Legal

• Direct experience defining autonomy levels, HITL policies, and Responsible AI requirements for production systems
• Familiarity with agentic workflows, RAG-based experiences, AI evaluation frameworks, and observability metrics from a product ownership perspective
• Experience establishing AI success measures such as containment, correction rates, explainability, bias controls, and user trust
• Fluency collaborating with architects and engineers on AI constraints (data readiness, model risk, cost/quality trade-offs) without owning technical implementation
• Track record driving behavior change and adoption for AI capabilities in regulated, high-risk, or mission-critical environments
• Experience operating in federated or matrixed product and delivery models, with strong focus on value realization and continuous learning loops

• Relocation assistance is not available for this position
• Sponsorship for US work authorization is not available for this position, now or in the future.

Offered rate of compensation will be based on individual education, qualifications, experience, and work location. The range for this position is $170000 to $220000.