• Own product vision and roadmap for In-Store Digital Media and ESL product lines • Define and track success metrics that connect product initiatives to business results • Make prioritization decisions based on customer value and business impact • Conduct ongoing customer research, including conversations with retailers and brands • Build evidence-based business cases for new initiatives • Lead, mentor, and develop product managers

• Own the end-to-end money movement platform, including external funding (IAV, ACATS, mobile check, rollovers) and internal transfers • Define and evolve the platform strategy for how money moves into and within Empower • Drive improvements in speed, success rates, cost, and reliability of all transfer methods • Partner with engineering to design scalable, reusable services and APIs for money movement • Work closely with operations and compliance to ensure regulatory alignment and operational excellence • Identify and resolve failure points across the transfer lifecycle (drop-offs, rejects, delays) • Translate complex financial workflows into simple, intuitive user experiences • Coordinate with external vendors and partners (aggregation, verification, custodians) • Build a measurement framework across funding funnels, including time-to-fund, completion rates, and error rates • Prioritize platform investments vs. experience improvements with clear tradeoffs • Lead cross-functional execution across product, design, engineering, legal, and operations

• Gather technical and business requirements from product leaders, engineering, and commercial stakeholders • Write clear, well-structured product requirements documents (PRDs), user stories, and acceptance criteria that translate ambiguous business needs into actionable specifications. • Partner with product leaders to prioritize the backlog based on customer impact, technical dependencies, and commercial value. • Facilitate the transition of requirements into product development by working closely with engineering teams through grooming, sprint planning, and delivery. • Document edge cases, integration points, and provisioning workflows across products to reduce inconsistency and access-control fragmentation. • Support competitive and internal research on entitlement frameworks, packaging models to inform platform design. • Communicate progress, risks, and decisions to product and engineering stakeholders.

Role Description Are you a dreamer, innovator, thinker and a do-er who believes in contributing to something that makes a difference? Pursue your passion. Join PMI. You are the single front door to the AI Innovation Lab. Every request, every new idea, every business team that wants to leverage AI comes through you first. You are product-first - you think about what the Lab should work on, why it matters, what good looks like, and how success is measured. You are not a technical product manager; the Principal AI Engineer owns technical architecture and build quality. Your center of gravity is product, stakeholder management, prioritization, and the operating rhythm of the team. Qualifications - 8+ years in product management, with meaningful time on AI/ML or data-driven products - Exceptional stakeholder management - you have navigated multi-tenant internal-customer dynamics before, where multiple business units all want your team's time and you had to make the tough calls - Strong prioritization craft - you are comfortable with hard trade-offs, saying no, and making the "not now" list visible to everyone who asks - Strong writing and narrative skills - one-pagers, leadership updates, sharp framing. You write the way good PMs write: clearly, concisely, and with a point of view. - Experience running lean, fast-moving teams with light-touch process - you prefer shipping over planning and you adapt process to what the team actually needs - Experience managing the operating rhythm of a technical team - rituals, reviews, retros, and the judgment to cut what is not working - Strong communicator who can present to senior leadership without hiding behind jargon - Comfortable making calls with incomplete information and adjusting course as you learn - Experience with agile methodologies (Scrum, Kanban, or similar) - Hands-on experience with vibe coding using AI-assisted tools such as Claude Code, ChatGPT Codex, or similar to rapidly prototype and build working apps without a traditional engineering workflow. - Comfort creating functional software end-to-end is a strong signal of the AI fluency this role requires. Benefits - An excellent total package, with compensation and benefits based upon your geographic location. - Skill development opportunities, to help you grow now and into the future. - Access to a global network, to enrich your professional experience. - Flexible options to help balance work time and your time. - Award and bonus opportunities.