Sr Product Manager, Marketing Data & AI

Marketing Data Product ManagerHappen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community.

Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.About the RoleThis role is at the intersection of marketing intelligence, credit strategy, and customer experience — focused on building the data products that help us reach the right customers at the right time with the right offer. You'll own a portfolio that includes our Customer Data Platform, AI and agentic marketing tools, and the partner ecosystem that powers our offer delivery. It's a high-impact role for someone who thrives where marketing data, lending strategy, and customer engagement come together.What You'll DoOwn the product roadmap for our marketing data products and Customer Data Platform (CDP) — from discovery through delivery and performance measurementDrive the vision for AI and agentic solutions that surface smarter marketing insights, including automated decisioning, personalization, and campaign optimizationWork closely with credit strategy, marketing, and engineering to turn analytical insights into product capabilities customers experienceManage and grow our external partner ecosystem enabling data exchange capabilities with — credit bureaus, referral partner networks, and martech/adtech platforms like Google and MetaWrite clear product requirements with well-defined acceptance criteria; use data and AI tools to inform prioritization and keep the backlog sharpBe the product voice for business stakeholders across the company — translating priorities into roadmap decisions and keeping people aligned on progress and tradeoffsLead program increment (PI) planning for your product area — breaking initiatives into deliverables, aligning quarterly objectives across teams, and making sure we're committing to the right things each cyclePrioritize ruthlessly based on business impact, technical feasibility, and strategic fit — and stay hands-on through execution to remove blockers and keep delivery on trackParticipate actively in scrum ceremonies — sprint planning, standups, reviews, and retrospectives — as a day-to-day partner to engineering driving accountability and momentum.Provide oversight for prioritization, delivery execution, and realization of planned business outcomes.Track product performance across the offer lifecycle and use what you learn to keep improving strategy and executionAbout You6+ years of product management experience; bachelor's degree or higher, or equivalent combination of education and experienceYou own your product area end-to-end — from strategy through execution — and don't wait to be told where to focus nextYou're comfortable with data and analytics and can turn complex model outputs into clear, actionable product decisionsYou're someone stakeholders across the company trust — you get to the real problem, make good calls, and follow throughYou have good judgment and know how to balance speed, quality, compliance, and long-term thinkingYou use AI tools in your day-to-day work — for requirements analysis, product discovery, and research — and you're good at helping others do the same while knowing when not to rely on themYou understand how AI and ML fit into credit and marketing decisions — the limitations, the regulatory context — and you don't cut corners on rigorYou're curious about how data, AI, and partner ecosystems can change what's possible in customer engagement and you're always looking for better ways to workNice to HaveMBA or advanced degree in business or a quantitative fieldBackground in fintech or consumer lendingExperience with CDP platforms, credit bureau data, or marketing decisioning toolsHands-on experience with martech/adtech platforms (Google, Meta, or similar) or managing data and referral partner relationshipsExperience working alongside credit modeling, risk strategy, or data engineering teams