About the RoleWe're hiring a Product Manager - Customer Data to help shape how Rhythm leverages data as a core product capability across the business.
This role sits at the intersection of Product, Data Engineering, and Data Science, focused on turning customer data into actionable insights and scalable product capabilities that drive measurable business outcomes across Sales, Marketing, Operations, and Commercial teams.
You won't own a single isolated product - instead, you'll operate across multiple systems and initiatives, helping define how customer data is modeled, activated, and used across the company.
This is a high-impact, cross-functional role in a fast-moving environment, ideal for someone who combines strong product thinking with hands-on data fluency and stakeholder leadership.
What You'll Do- Define and manage product requirements for customer data initiatives, translating business goals into clear specifications, workflows, and implementation plans
- Build and own the roadmap for customer data, balancing short-term impact with long-term strategic capabilities
- Partner with Sales, Marketing, Operations, and Commercial teams to identify data needs and translate them into actionable product initiatives
- Drive development of data-powered capabilities such as customer segmentation, lifecycle insights, churn/retention analysis, and value modeling
- Ensure data initiatives translate into measurable business impact, including acquisition, retention, churn reduction, pricing optimization, and cost-to-serve
- Work hands-on with data using SQL and modern data platforms such as Databricks to explore opportunities, validate ideas, and support delivery
- Collaborate closely with Data Science across the full model lifecycle, from ideation to production and ongoing performance monitoring
- Partner with Data Engineering to ensure data systems are reliable, scalable, and aligned around a single source of truth
- Identify opportunities to turn internal data capabilities into customer-facing features and product improvements
What You'll Bring- 3+ years of experience in Product Management, Data Product, or analytics-heavy roles
- Strong SQL skills and comfort working directly with data to generate insights and validate hypotheses
- Experience working closely with Data Engineering, Data Science, and/or Software Engineering teams to deliver data products
- Strong stakeholder management skills, with the ability to align multiple teams and drive decisions across competing priorities
- Experience delivering measurable business impact through data-driven initiatives
- Comfort operating in fast-paced, ambiguous environments where you'll need to define structure and processes
- Solid understanding of the product development lifecycle, including roadmap planning, PRDs, and delivery cycles
- Strong communication skills and ability to operate across strategic, technical, and execution layers
Nice to Have- Experience working with modern data platforms such as Databricks
- Exposure to customer lifecycle analytics, including CLV, churn, segmentation, or retention
- Experience working on data-driven product features or personalization systems
- Familiarity with experimentation, modeling, or data science workflows
What Success Looks Like- Clear and scalable customer data strategy implemented across the business
- Measurable improvements in key metrics such as retention, churn, and customer value
- Strong adoption of data-driven decision-making across Sales, Marketing, and Operations
- Reliable and consistent customer data systems aligned around a single source of truth
- Successful delivery of high-impact, cross-functional data initiatives
- Increased use of data-driven automation and insights in both internal and customer-facing workflows
