Product Manager, Data Platform

<h2><span style="font-family: helvetica, arial, sans-serif;"><strong>About the role</strong></span></h2> <p><span style="font-family: helvetica, arial, sans-serif;">We’re hiring a&nbsp;<strong>Data Platform Product Manager focused on Data Foundations &amp; 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.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;">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.</span></p> <p><span style="text-decoration: underline; font-family: helvetica, arial, sans-serif;">This role is in-office in San Francisco Monday-Thursday.</span></p> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>In this role, you can expect to</strong></span></h2> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Own product strategy and execution for data foundations and insights supporting core products</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Partner closely with data engineering and analytics to build scalable, self-serve data platforms and tooling</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Embed with cross-functional squads as the data subject-matter expert, translating stakeholder needs into scalable, reusable data products and data platform solutions&nbsp;</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Improve time-to-insight and data cycle time for business, product, and compliance use cases</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Drive stakeholder satisfaction by delivering reliable, well-documented, and trusted data products</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Communicate effectively with both highly technical and non-technical partners across the organization</span></li> </ul> <h2><span style="font-family: helvetica, arial, sans-serif;"><strong>To thrive in this role, you have</strong></span></h2> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Product management experience owning platform, data, or analytics products in a complex organization</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Prior exposure to fintech, financial services, or highly regulated environments (preferred)</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Experience partnering closely with data engineering teams on foundations such as data models, pipelines, or metrics layers</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Comfort operating as an embedded PM within cross-functional squads</span><br><span style="font-family: helvetica, arial, sans-serif;">Strong ability to translate ambiguous stakeholder questions into scalable product solutions</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Experience supporting analytics, reporting, or insight-generation use cases for multiple audiences</span></li> <li styl