Sr Product Manager, Marketing Data & AI (Fintech)

Location: San Francisco, United States; hybrid work model with in-office attendance required on Tuesdays, Wednesdays, and Thursdays. Remote placement will not be considered. Local Pacific Time hours are required, with flexibility across time zones when necessary. Relocation is offered based on the actual job level.

Salary: $176,000–$207,000 base salary, plus potential equity awards and annual bonus.

Company

hirify.global provides focused, mobile-first financial products and lending services designed to help members make financial progress.

What you will do

• Own the roadmap for marketing data products and the Customer Data Platform from discovery through delivery and performance measurement.
• Define AI and agentic marketing solutions for automated decisioning, personalization, marketing insights, and campaign optimization.
• Partner with credit strategy, marketing, and engineering to turn analytical insights into customer-facing product capabilities.
• Manage data exchange partnerships with credit bureaus, referral networks, and martech/adtech platforms including Google and Meta.
• Lead product requirements, prioritization, backlog management, PI planning, and quarterly delivery alignment.
• Track offer lifecycle performance, remove delivery blockers, and improve strategy and business outcomes.

Requirements

• 4+ years of product management experience.
• Bachelor’s degree or higher, or an equivalent combination of education and experience.
• Experience owning a product area end-to-end from strategy through execution.
• Ability to interpret complex analytical and model outputs and turn them into actionable product decisions.
• Understanding of AI and ML applications in credit and marketing decisions, including limitations and regulatory considerations.
• Ability to balance speed, quality, compliance, technical feasibility, and long-term strategy.

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.
• Experience with martech/adtech platforms such as Google or Meta, or with data and referral partner relationships.
• Experience working with credit modeling, risk strategy, or data engineering teams.

Culture & Benefits

• Hybrid collaboration model with required in-office work for the role.
• Medical, dental, and vision plans for employees and families.
• 401(k) match and health and wellness programs.
• Flexible time-off policies for salaried employees.
• Up to 16 weeks of paid parental leave.

Hiring process

• Interviews for select roles may be recorded, transcribed, and summarized using AI tools.
• Candidates may opt out of recording, transcription, and summarization before scheduled interviews.