• Own the roadmap for your product domain within A2A—maintaining a well-prioritized backlog, a clear rationale for every decision, and a delivery plan that the team can execute against • Define and prioritize features based on partner needs, transaction data, competitive signals, and business impact • Maintain continuity of existing Dwolla customer commitments while contributing to NMI integration milestones — balancing BAU stability with forward progress • Write clear, detailed product requirements and acceptance criteria; run scoping sessions with Engineering that result in shared understanding and no surprises • Lead product discovery: customer interviews, partner feedback sessions, competitive teardowns, and data analysis—then synthesize findings into a point of view • Build a deep understanding of the full A2A payment lifecycle—funds flow, return handling, exception processing, reconciliation, Reg-E obligations—and design products that hold up end-to-end • Partner with Engineering on technical design decisions, flagging tradeoffs and pushing for solutions that are scalable, not just shippable • Define success metrics for every initiative, track them post-launch, and share what you learned with the team • Build awareness of A2A capabilities across internal teams, helping Sales and Partner Success understand when and how to position bank-direct payment solutions • Collaborate with Legal, Compliance, Risk, and Payment Ops to ensure products are compliant and operationally sound before they ship • Support go-to-market: work with product marketing, sales, and customer success to drive adoption of new capabilities • Use AI tools actively in your workflow—discovery synthesis, spec drafting, hypothesis generation, competitive research—and bring that velocity to your team • Represent the product in customer workshops, partner calls, and internal stakeholder reviews with authority and clarity • Contribute to team OKRs; participate in quarterly planning and own your results

• Own and prioritise the product backlog across features, LiveOps initiatives, and player experience improvements • Translate business goals, player needs, and product strategy into actionable development plans • Work closely with Engineering and Design teams to deliver high-impact features efficiently • Ensure sprint goals and roadmap priorities remain aligned with commercial and engagement objectives • Use AI tools such as Claude, ChatGPT, Notion AI, and analytics copilots to accelerate product workflows • Generate and refine user stories, documentation, requirements, and experimentation plans using AI-assisted processes • Support rapid prototyping and validation of product ideas • Continuously identify opportunities where AI can improve team efficiency, product quality, and player outcomes • Drive data-informed product decisions using analytics, player insight, and A/B testing • Monitor and optimise KPIs including engagement, retention, conversion, and monetisation • Support iterative feature development rather than large one-off releases • Collaborate with analytics teams to identify opportunities for growth and optimisation • Facilitate Agile ceremonies including sprint planning, backlog refinement, and retrospectives • Communicate priorities, trade-offs, and delivery status clearly to stakeholders • Help align teams around measurable outcomes and player impact

• Own the product strategy and roadmap for Feeld’s Safety Back-Office product area • Partner with Trust & Safety, Fraud, Customer Support, Compliance, Engineering, Design, Data, and Product to identify and prioritise high-impact opportunities • Lead discovery into internal workflows, member safety risks, moderation quality, support efficiency, fraud patterns, and compliance needs • Translate complex operational challenges into clear product problems, success metrics, and delivery plans • Improve Feeld’s ability to address fakes, spam, fraud, abuse, and other behaviours that undermine member trust • Define and track metrics for member trust, safety outcomes, operational efficiency, decision consistency, quality, and business impact • Communicate roadmap priorities, progress, risks, and outcomes to leadership and cross-functional stakeholders • Drive cross-functional execution from problem definition through launch, measurement, and iteration

• Define Retention & Expansion Strategy: translate retention and monetization targets into a prioritized 6–12 month roadmap that aligns OX product teams around measurable customer and business impact. • Lead Discovery & Opportunity Diagnosis: run structured discovery across customer interviews, behavioral analysis, and funnel review to diagnose adoption blockers and maintain a validated opportunity backlog ahead of delivery. • Own Product Adoption & Expansion Initiatives: define and prioritize cross-functional initiatives that drive activation, onboarding, discoverability, and monetization across active organizations. • Drive Cross-Functional Retention Programs: lead cross-team retention and expansion programs in close partnership with PMM, CSM, GTM, and Product. • Measure Outcomes & Drive Accountability: define and maintain a metric tree for retention, adoption, and monetization, making scale / iterate / stop decisions based on measurable outcomes. • Leverage AI/ML for Retention & Expansion: identify and validate AI/ML opportunities for segmentation, churn prediction, and personalization in partnership with Data and Engineering.