Senior Product Manager, Marketing Data & AI

Current Employees of Happen Bank: Please apply via your internal Workday Account

Happen 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 Role

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.



What You'll Do

• 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.

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• 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
  
  

About You

• 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
  
  

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Nice to Have

• 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
  
  

Work Location

San Francisco

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.

Time Zone Requirements

Local hours (PT)

While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements

As needed travel to Happen Bank offices and/or other locations, as needed.

Compensation

The target base salary range for this position is 176,000-207,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes 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 and more.

Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.

Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.

You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.

During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.

We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.