Rhythm Energy logo
Rhythm Energy
Posted 75 days agoVerified live 2d ago

Product Manager – Customer Data

Brief overview

Remote
3+ yrsMinimum
SQLDatabricksProduct ManagementData ProductData EngineeringData ScienceCustomer SegmentationCustomer Lifecycle AnalyticsChurn AnalysisRetention AnalysisProduct Development LifecycleStakeholder Management

About the company

Rhythm Energy logo
Rhythm Energygotrhythm.com

Rhythm is a renewable energy and technology company empowering to take control of budget and footprint.

Job description

Summary

Rhythm Energy is a renewable energy and technology company focused on redefining how people interact with energy. They are seeking a Product Manager – Customer Data to leverage data as a core product capability, driving actionable insights and scalable product capabilities across various teams.

Responsibilities

  • 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

Skills

  • 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
  • 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

Qualifications

Must Haves

  • 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 Haves

  • 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

Benefits

  • 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.

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