• Develop a strong understanding of institutional miner workflows, pain points, and constraints. • Translate validated problems and high-level product direction into clear solutions, detailed requirements, and acceptance criteria, driving alignment with engineering and key stakeholders. • Leverage modern PM and AI-assisted tools (including Claude Code) to accelerate research, prototyping, and documentation. • Manage and groom the product backlog in partnership with engineering, making informed tradeoffs on scope, sequencing, and priority. • Use customer feedback, usage data, and product analytics to evaluate outcomes, iterate on solutions, and inform prioritization decisions with increasing independence. • Conduct ongoing competitive analysis to identify differentiation opportunities and propose improvements that increase product value. • Partner with Sales, BD, and Customer Success teams to support feature readiness, documentation, customer discussions, and escalations as needed. • Contribute analysis and materials for key customer or executive discussions. • Partner closely with engineering and stakeholders on user experience and interface decisions, and should be comfortable contributing to early design concepts and interaction flows when needed.

• Define and evolve the product vision for messaging performance reporting across Email, SMS, and WhatsApp, shaping a greenfield space with clear strategic direction. • Create and maintain a cohesive roadmap that connects reporting, insights, and predictive/ML capabilities into a unified customer experience. • Deeply understand how marketers evaluate and optimize campaigns, translating customer needs into clear product strategy and prioritized outcomes. • Establish and refine success metrics, using data to evaluate tradeoffs, pressure-test assumptions, and guide decisions in complex, large-scale event data environments. • Partner closely with Engineering and UX to deliver powerful, intuitive reporting and optimization tools that drive measurable customer impact. • Collaborate with backend and event infrastructure teams to leverage HubSpot’s messaging data at scale while ensuring reliability and performance. • Guide product initiatives from discovery through launch, driving alignment across cross-functional partners and ensuring high-quality execution. • Influence stakeholders across a complex product ecosystem, aligning teams around shared goals and delivering customer-first outcomes.

• Run the intake-to-roadmap loop for Enterprise AI Enablement: partner with stakeholders to capture use cases, clarify scope/ownership, and shape opportunities into well-defined epics and user stories (with clear outcomes and acceptance criteria) • Prioritize what matters most by applying the strategy’s prioritization model (top-down themes + bottom-up Business Unit needs), ensuring we build workflows that create measurable time savings and adoption—not one-off tools. • Own execution hygiene for the backlog: keep the backlog crisp, sequenced, and “build-ready” for AI engineering, including lightweight discovery, dependency mapping, and release notes for internal users • Enable “Right tools for the right work” by partnering with IT Ops / Procurement / Security to support tool inventory signals, capability-to-tool guidance, and practical rollout communications that reduce tool sprawl and compliance gaps. • Build “metrics that matter” into every initiative: define baseline + success metrics (adoption, time saved, workflow cycle time), and support quarterly impact reporting with clear, decision-ready summaries. • Ship workflow enhancement with BU partners: support delivery of production-grade agents/workflows by keeping BU owners aligned on outcomes, readiness, and change management—so adoption sticks after launch. • Contribute to org-wide AI fluency by partnering on enablement assets that make the compliant path the easiest path.

• Own and drive the product roadmap for card funding flows, settlement orchestration, ledger posting, and reconciliation, balancing near-term delivery with long-term platform scalability. • Design scalable reconciliation and exception-handling systems that ensure all settlements, disbursements, and funds movements are accurately posted, traceable, and reportable via card ledgers. • Evolve Affirm funding and liquidity orchestration models across multiple capital sources (e.g., consumer balances, treasury accounts, credit facilities) to optimize capital efficiency and program resiliency. • Define and launch new card programs from 0→1, including program account structures, funding mechanics, and reconciliation frameworks, to support expansion into new products, geographies, and channels, in close partnership with issuing banks and processors. • Lead cross-functional execution across Engineering, Finance, Analytics, Legal/Compliance, and Operations to deliver reliable, compliant, and fully traceable money movement and ledger systems. • Address unique funding challenges at the intersection of BNPL and card issuing through platform innovation that improves funding flows, accelerates settlement, and strengthens ledger resilience across card programs. • Serve as a card-issuing domain expert and trusted partner, with deep understanding of processor, issuing-bank, and network interactions, card program economics, and how Affirm’s products operate within that ecosystem. • Measure and improve platform health, defining success metrics such as settlement success rates, reconciliation coverage, exception volumes, and time-to-resolution; establish SLAs, runbooks, and observability for critical money-movement pipelines. • Communicate clearly with senior leaders, presenting insights, tradeoffs, and recommendations that inform strategy and drive company objectives.