Description

• Define product vision, strategy, roadmap priorities, and success measures for the member experience across web and mobile, with a mobile-first approach; serve as the voice of the member and business customer through discovery, stakeholder input, and product data.
• Define the strategy, roadmap, and success metrics for AI foundation, including AI-enabled opportunities such as intelligent search, member matching, personalization, automation, and predictive insights.
• Partner with Engineering to design scalable AI systems and APIs, and own the product perspective for initiatives from intake through prioritization, roadmap planning, launch, and continuous improvement.
• Prioritize product work using member impact, business value, strategic alignment, RICE inputs, technical feasibility, capacity, timing, and risk; maintain clear documentation, rationale, and roadmaps that communicate priorities and tradeoffs.
• Work closely with design, platform, engineering, data, security, and business stakeholders to define practical, responsible, and supportable solutions that meet expectations for usability, accessibility, security, reliability, and operational readiness; support launch planning, enablement, onboarding, and adoption.
• Define, monitor, and report product KPIs such as engagement, adoption, retention, and satisfaction; use metrics, model performance data, and user behavior/analytics to validate impact and guide prioritization and design decisions.
• Review post-launch outcomes, route enhancements through the intake and roadmap process, monitor market trends and AI capabilities, and translate complex AI concepts into clear narratives for technical and non-technical stakeholders.

SKILLS

• Strong product judgment with the ability to connect member needs, business goals, technology constraints, and measurable outcomes.
• Practical, hands-on understanding of AI-enabled product opportunities and deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored, including the ability to evaluate AI use cases responsibly — weighing risk, data quality, privacy, security, and bias — with particular care in regulated or high-trust domains.
• Technical understanding and data fluency: comfort engaging with engineers and data scientists on system architecture, APIs, data flows, and platform primitives, plus the ability to work directly with metrics, model performance data, and behavioral analytics to inform prioritization and roadmap decisions.
• Deep UX/UI expertise: strong command of interaction design and usability, including mobile-first design, navigation hierarchy, user journeys, and mobile usability best practices.
• Strong communicator, relationship-builder, and organizer — able to translate complex concepts into clear decisions, build alignment and manage ambiguity across an international, multicultural organization, and maintain the professional presence, discretion, and sound judgment needed when working with members, executives, vendors, and associates.
• Expertise in product discovery, roadmap planning, requirements definition, UX collaboration, Agile delivery, and post-launch measurement, with familiarity in frameworks such as RICE, OKRs, HEART, and Jobs-to-be-Done, and high standards for documentation and process discipline.

EXPERIENCE/BACKGROUND

• 8+ years of product management experience in relevant digital product environments, which may include AI, B2B, B2C, ecommerce, SaaS, membership, community, CRM, web, mobile, or digital engagement products, with experience leading AI/ML products or AI-enabled features from concept to production with measurable impact.
• 8+ years of experience with user-facing digital solution design and delivery, including discovery, requirements definition, cross-functional execution, implementation, launch, measurement, iteration, and digital analytics.
• Deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored.
• Platform mindset with experience building scalable developer or data platforms, mobile applications, and hands-on work with LLMs, embeddings, or agentic systems in production.
• Experience with AI-enabled features, personalization, search, matching, recommendation, marketplace, community, or network-based products.
• Experience with tools such as ClickUp, Jira, Azure DevOps, Confluence, Miro, or Figma.
• Mobile product leadership, startup or high-growth, or ground-up product-building experience preferred.
• Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk.

EDUCATION/TRAINING/CERTIFICATION

• Bachelor's degree in business, Information Systems, Computer Science, Engineering, Design, Human-Computer Interaction, related field, or equivalent experience.
• Product management training, Agile certification, business UX/UI, or AI/product strategy training preferred

Key Skills

Education

Any Gradute