Own the measurement and reporting of product performance, including adoption, conversion, engagement, retention, and unit economics, while defining a comprehensive KPI tree (e.g., approval rate, funded volume, take rate, NPS/CES, conversion at each step, time-to-approve, support tickets per 1k apps, SLA).
Drive end-to-end workflows and UX for providers and patients, partnering with Product Managers to define KPIs, track post-launch performance, and analyze funnel drop-offs, approval rates, and utilization to identify improvement opportunities.
Lead PMs, Designers, UX Research, and Product Ops teams—initially hands-on, then scaling the organization—for outcomes-focused delivery.
Stand up a rigorous experimentation program (A/B tests, funnel analytics, pricing & terms tests, approvals mix) using tools like Mixpanel/Amplitude, GA4, Heap, Looker/Mode, LaunchDarkly/Stats, and AI-driven insights.
Translate high-level strategy into prioritized roadmaps; ship fast with Engineering through quarterly planning, weekly priorities, and incident-to-backlog feedback loops.
Build and maintain a design system and research cadence (weekly usability, quarterly discovery cycles) to ensure high-polish, research-backed experiences.
Act as the single-threaded owner for cross-functional delivery, owning requirements with Risk & Compliance (KYC/KYB, adverse action, ECOA, UDAAP-safe UX language), and partnering with Operations, Data, Finance, Sales, Success, and Engineering.
Provide data-driven recommendations to optimize user experiences, ensuring compliance-safe UX while measuring impact on credit performance and business metrics.
Requirements
5-10 years in product leadership, with 3–5 years leading PMs and Design teams in fintech/payments/lending, B2B2C checkout, or healthcare technology.
Proven track record scaling products from ~$50M to $200M+ GMV or $10M to $50M+ ARR; shipped high-stakes flows like identity verification, credit decisions, and pricing.
Deep expertise in funnel optimization, experiment design, A/B testing, and statistical analysis.
Comfort with SQL, product analytics (Looker, BigQuery, Heap, AI/ML frameworks), and briefing Data Science teams.
Demonstrated design taste and research muscle; experience building or overhauling design systems and driving user research cadences.
Highly cross-functional: Savvy in Finance/Consumer Lending, understands risk trade-offs, and communicates effectively with Sales for enterprise practices.
Exceptional ability to translate complex data into clear insights; collaborative mindset with strong communication skills to influence senior leadership and cross-functional teams.
Bachelor’s degree in a quantitative field (e.g., Economics, Statistics, Engineering, Computer Science); Master’s degree a plus.