Sr Product Manager, Marketing Data & AI
Listed on 2026-08-08
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Business
Data Analyst, Business Systems & Technology Analysis
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.
- 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
- 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
- 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
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…
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