Senior Product Manager, Financial Data Intelligence Platform

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Product Manager in the United States.

As a Sr. Product Manager, you will lead the evolution of a high-impact financial data intelligence platform that powers innovative credit and banking products. You will work cross-functionally with engineering, data science, risk, and compliance teams to transform complex financial data into scalable, actionable solutions. This role involves driving product strategy, shaping roadmaps, and ensuring platform reliability while enabling smarter decisioning and real-time insights for millions of users. You will act as a domain expert and strategic partner, translating data and business complexity into simple, high-value product experiences. The position offers high visibility, significant ownership, and the opportunity to influence financial outcomes and product direction in a fast-paced, remote-friendly environment.

• Accountabilities
• Define and evolve the product vision and roadmap for the financial data intelligence platform.
• Lead product discovery for new data sources, integrations, and scalable systems.
• Translate complex business needs into clear specifications, experiments, and platform improvements.
• Drive data quality, coverage, and reliability standards to support real-time decisioning and risk modeling.
• Partner across engineering, data science, risk, and compliance teams to ensure platform meets business and member needs.
• Monitor and report on platform performance metrics such as latency, accuracy, coverage, and business impact.
• Influence long-term strategy by identifying opportunities to enhance data utility, improve decisioning, and unlock new product capabilities.
• Requirements
• 5+ years of product management experience, including 2+ years in fintech, lending, or financial data systems.
• Proven track record building data products, APIs, or decisioning systems in regulated environments.
• Strong understanding of financial data, including transaction categorization, account aggregation, and credit bureau information.
• Analytical fluency with SQL and BI tools (Mode, Looker, Tableau).
• Deep empathy for technical, risk, and customer stakeholders, with strong collaboration and communication skills.
• Bias for action, high ownership, and comfort navigating ambiguity.
• Experience translating complex data and business challenges into scalable product solutions.
• Preferred Qualifications
• Exposure to cash advance, lending, or underwriting workflows.
• Experience working with credit risk or repayment modeling teams.
• Familiarity with financial data vendors and API ecosystems.
• Benefits
• Competitive base salary range: $138K–$222K USD, with additional equity opportunities.
• Fully remote work within the United States (excluding Hawaii) and flexible working hours.
• Premium medical, dental, and vision insurance plans.
• Generous paid parental and caregiver leave.
• 401(k) savings plan with matching contributions and financial wellness support.
• Flexible PTO and company holidays, including Juneteenth and Winter Break.
• Annual in-person and ongoing virtual team events to connect with peers and leadership.
• High ownership, impact, and opportunities for learning and growth in a mission-driven environment.
  
  

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.