Senior Product Manager

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we've been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we've raised over $70 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we're still that little company from Cleveland with a big dream: to make people more powerful than their debt and we're just getting started..

Splash is remote-first, and proud of it. We spend our days creating ways to simplify financial products, then get them into the hands of people who need help. Right now, we're focused on developing financial technologies that fundamentally change the way the industry lends. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups, access to community, and engagement tools. And although we've been around since 2013, we still love to think like a start-up a place that empowers good people to do great things, fast.

We're friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We're good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.

ABOUT THE ROLE:

As a Senior Product Manager at Splash, you will play a pivotal role in driving strategic initiatives
and shaping the future of our data engineering, advanced analytics, and machine learning
endeavors. Leveraging your expertise and visionary leadership, you will spearhead efforts to
harness the power of data to drive business growth and innovation.

WHAT YOU'LL DO AT SPLASH:

• Strategic Leadership: Ability to wear multiple hats as a strategic visionary leader in the field of data engineering, advanced analytics, and machine learning.
• Market Research: Conduct thorough research on fintech data science industry trends to identify opportunities for leveraging advanced analytics, artificial intelligence, and machine learning to address specific needs.
• Roadmap Development: Develop a compelling roadmap for advanced analytics and machine learning, outlining the future and long-term strategy for data science within the organization.
• Prioritization and Coordination: Prioritize work for data analytics, engineering, and data science teams, and articulate any roadmap dependencies across other engineering branches.
• Product Backlog Management: Manage and articulate a product backlog for data science and data engineering teams, ensuring alignment with overall business goals.
• Technical Proficiency: Possess deep understanding and technical proficiency in data engineering, advanced analytics, and machine learning to set up Minimum Viable Products (MVPs) and differentiate between value-adding initiatives and those with minimal impact.
• Domain Knowledge: Demonstrate business domain knowledge in the fintech industry or similar domains.
• Autonomous Impact: Thrive on the opportunity to work autonomously, driving impactful initiatives in a fast-growing, ever-evolving business environment.
• Technical Skills: Extensive knowledge in SQL, business intelligence tools (e.g., Tableau, Power BI, Sisense), Python and relevant packages for machine learning, and familiarity with cloud AWS infrastructure, data engineering, and warehousing tools (e.g., Snowflake, Redshift, AWS Firehose, GitHub, and data build tools like dbt).

WHAT YOU'LL BRING TO SPLASH:

• Proven experience (5+ years) in a Senior Product Management role with a focus on data engineering, advanced analytics, and machine learning.
• Strong track record of successfully developing and executing strategic roadmaps for data science initiatives.
• Exceptional communication and leadership skills, with the ability to effectively prioritize and coordinate cross-functional teams.
• Previous experience in the fintech industry or similar domain is highly desirable.
• Ability to thrive in a fast-paced, dynamic environment and drive autonomous impact.