Group Product Manager-AI Skilling

Set the North Star - Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics. Turn Insight into Product - Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs. Lead the Portfolio - Prioritize data informed investments; make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance. Build AI First Experiences - Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy. Raise the Bar on Quality - Establish measurement for engagement, learning outcomes, credential attainment, reliability, and performance; iterate based on evidence. Launch and Grow - Collaborate with Product Marketing and field teams to craft narratives, land launches (e.g., major events), and drive adoption and retention. Win with Partners - Work with internal/external partners (e.g., content providers, platform teams) to expand catalog depth, credentials, and enterprise integrations. Model Reliable Product Leadership - Create clarity, build energy, and deliver results across multiple squads/epics through inclusive, transparent execution. Build a Proficient Team - Attract and develop high-caliber product talent with clear ownership and high standards. Bachelor's Degree AND 10+ years of experience in product/service/program management or software development 3+ years people management experience. Bachelor's Degree AND 15+ years of experience in product management OR equivalent experience. 12+ years of product management experience building and scaling customer-facing products from 0 to 1 and 1 to N, across both startup and enterprise environments. 5+ years of people management experience leading Product Managers or product leaders. Proven track record of owning product vision, multi-year strategy, and portfolio-level prioritization, with measurable customer and business impact. Experience building and shipping AI or data-powered products, with clear understanding of quality, safety, and cost/latency tradeoffs. Proficient product sense grounded in customer insight (qualitative and quantitative) and the ability to translate that into scenarios, MVPs, and scalable systems. Demonstrated ability to drive growth and adoption, including go-to-market strategy, product positioning, and experimentation. Proficient cross-functional leadership and influence, with the ability to align Engineering, Design, Marketing, and executive stakeholders. Experience in learning, skilling, credentials, or workforce development, or adjacent platforms involving content ecosystems and user journeys. Well-Developed foundation in experimentation and measurement, including A/B testing, cohort analysis, and outcome-based metrics.