Senior Product Manager (Grant, Cash Advance)

Join a fast-growing consumer fintech startup as a Senior Product Manager. You will work closely with a dedicated product team and cross-functional teams to drive growth and optimization for our intelligent cash advance product, Grant. You will be responsible for analyzing data, defining metrics, and surfacing new areas of growth and optimization. You should have at least 4 years of experience in digital consumer products, a passion for solving consumer financial problems, and a strong data-driven mindset.

• Drive growth and optimization for Grant end to end, across acquisition, underwriting and approval, funding and disbursement, repayment and collections, and re-engagement.
• Partner closely with data science and engineering on the systems that define the product: ML underwriting models, collection strategies, and multi-rail payment flows.
• Independently pull, model, and interrogate the data. You don't wait for an analyst to answer a question; you write the query, build the cohort, and validate the result yourself.
• An interest in and perspective on modern consumer financial tools, and your own view on how best to innovate in this space
• Excellent writing and communication skills to translate analysis into a clear point of view, and to align users, teammates, and leadership around it
• A track record of finding growth others missed, by segmenting, decomposing funnels, and quantifying opportunities that turned into shipped, measurable wins
• You've worked on successful digital consumer products for at least 4 years, ideally including a lending, fintech, or other economically complex product, and preferably in a fast-paced startup environment
• Empathy for consumers and a passion for solving consumer financial problems in new and innovative ways
• Real experimentation rigor. You can design and interpret A/B tests, reason about statistical significance and sample size, and resist the temptation to over-read noisy results
• You feel comfortable in the driver's seat and have a natural way of knowing how to get to the destination, but also know when it's time for others to drive
• Extremely data-driven and constantly looking for the "why" behind the data to understand what drives user behavior and explains metric patterns. Pulling the data yourself is a requirement, not a plus
• The ability to know what "good" looks like. You can derive a reasonable target for a metric from first principles, and you know when to go find external benchmarks instead of guessing
• Readiness to roll up your sleeves across the whole product, from the analysis to the copy to the comms and product touch points to measuring and interpreting results
• A genuinely strong data and numbers sense. You're fluent in SQL (or comparable) and comfortable in the analytics stack, you can pull and manipulate data without help or even previously worked as a data scientist