Sr Product Manager, Marketing Data & AI

LendingClubSan Francisco, CA
Hybrid

About The Position

This 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.

Requirements

  • 6+ years of product management experience; bachelor's degree or higher, or equivalent combination of education and experience
  • You own your product area end-to-end — from strategy through execution — and don't wait to be told where to focus next
  • You're comfortable with data and analytics and can turn complex model outputs into clear, actionable product decisions
  • You're someone stakeholders across the company trust — you get to the real problem, make good calls, and follow through
  • You have good judgment and know how to balance speed, quality, compliance, and long-term thinking
  • You 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 them
  • You understand how AI and ML fit into credit and marketing decisions — the limitations, the regulatory context — and you don't cut corners on rigor
  • You'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 work

Nice To Haves

  • MBA or advanced degree in business or a quantitative field
  • Background in fintech or consumer lending
  • Experience with CDP platforms, credit bureau data, or marketing decisioning tools
  • Hands-on experience with martech/adtech platforms (Google, Meta, or similar) or managing data and referral partner relationships
  • Experience working alongside credit modeling, risk strategy, or data engineering teams

Responsibilities

  • Own the product roadmap for our marketing data products and Customer Data Platform (CDP) — from discovery through delivery and performance measurement
  • Drive the vision for AI and agentic solutions that surface smarter marketing insights, including automated decisioning, personalization, and campaign optimization
  • Work closely with credit strategy, marketing, and engineering to turn analytical insights into product capabilities customers experience
  • Manage and grow our external partner ecosystem enabling data exchange capabilities with — credit bureaus, referral partner networks, and martech/adtech platforms like Google and Meta
  • Write clear product requirements with well-defined acceptance criteria; use data and AI tools to inform prioritization and keep the backlog sharp
  • Be the product voice for business stakeholders across the company — translating priorities into roadmap decisions and keeping people aligned on progress and tradeoffs
  • Lead 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 cycle
  • Prioritize ruthlessly based on business impact, technical feasibility, and strategic fit — and stay hands-on through execution to remove blockers and keep delivery on track
  • Participate 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 execution

Benefits

  • medical, dental and vision plans for employees and their families
  • 401(k) match
  • health and wellness programs
  • flexible time off policies for salaried employees
  • up to 16 weeks paid parental leave
  • relocation, based on actual job level
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