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Product Manager – Customer Data
Rhythm EnergyProduct Manager helping to leverage customer data as a core capability at Rhythm Energy. Collaborating across teams to drive actionable insights and product improvements.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Product Management and Data Product development, with strong SQL skills for data analysis and a solid understanding of the product development lifecycle. Proven ability to drive measurable business impact through data-driven initiatives while collaborating effectively across teams.
Highest-signal resume keywords
Product Management ExperienceStrong SQL SkillsStakeholder ManagementData-Driven Decision MakingCollaboration with Data Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Requirements DefinitionData SegmentationChurn AnalysisValue ModelingRoadmap PlanningPRD DevelopmentData AnalysisLifecycle InsightsCustomer Retention StrategiesData Product Development
Soft Skills
Strong Communication SkillsStakeholder AlignmentDecision-MakingAdaptability in Ambiguous EnvironmentsCross-Functional Collaboration
Tools & Technologies
SQLDatabricksData PlatformsData Science Collaboration ToolsData Engineering Tools
Industry Keywords
Customer Data InitiativesData-Powered CapabilitiesBusiness Impact MeasurementProduct Development LifecycleData-Driven Initiatives
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Our culture. We’re friendly, transparent, and love to innovate together.
- Flexible work-life balance. We embrace a mix of working remote and from the office.
- Professional development opportunities. We love to grow together and support your learning.
- A chance to make a difference. We’re a sustainably driven company rethinking what’s possible in energy.