Product Manager, Data Platform

Chime
San Francisco, CAUp to $244kPosted 24 February 2026

Job Description

<p><strong>About the role</strong></p> <p><strong><br></strong>We’re hiring a <strong>Data Platform Product Manager focused on Data Foundations Insights</strong> to help Chime scale how data is built, accessed, and used across the company. In this role, you’ll partner closely with engineering, analytics, and cross-functional teams to translate complex stakeholder needs into durable, scalable data products. You’ll act as an embedded product partner within XFN squads, owning data foundations that improve time-to-insight, self-serve capabilities, and data trust as Chime continues to grow.</p> <p>The base salary offered for this role and level of experience will begin at $207,000.00 and up to $244,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.</p> <p><span style="text-decoration: underline;">This role is in-office in San Francisco Monday-Thursday. </span></p> <p><strong>In this role, you can expect to:</strong></p> <ul> <li>Own product strategy and execution for data foundations and insights supporting core products</li> <li>Partner closely with data engineering and analytics to build scalable, self-serve data platforms and tooling</li> <li>Embed with cross-functional squads as the data subject-matter expert, translating stakeholder needs into scalable, reusable data products and data platform solutions </li> <li>Improve time-to-insight and data cycle time for business, product, and compliance use cases</li> <li>Drive stakeholder satisfaction by delivering reliable, well-documented, and trusted data products</li> <li>Communicate effectively with both highly technical and non-technical partners across the organization<br><br></li> </ul> <p><strong>To thrive in this role, you have:</strong></p> <ul> <li>Product management experience owning platform, data, or analytics products in a complex organization</li> <li>Prior exposure to fintech, financial services, or highly regulated environments (preferred)</li> <li>Experience partnering closely with data engineering teams on foundations such as data models, pipelines, or metrics layers</li> <li>Comfort operating as an embedded PM within cross-functional squads<br>Strong ability to translate ambiguous stakeholder questions into scalable product solutions</li> <li>Experience supporting analytics, reporting, or insight-generation use cases for multiple audiences</li> <li>Ability to communicate clearly across technical and business stakeholders</li> </ul> <p>#LI-TP1 #LI-Hybrid</p><div class="content-conclusion"><h2><strong>A little about us</strong></h2> <p>At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.</p> <p>We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.</p> <p>We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chim ... (truncated, view full listing at source)
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