产品经理 – 客户数据
Product Manager – Customer Data
关于 Rhythm Energy
Rhythm 是一家可再生能源和技术公司，正在重新定义人们与能源的互动方式。我们结合能源市场专业知识与技术、设计和数据科学，提供简单、透明且以客户为中心的能源解决方案。
我们是一支以使命为导向的团队，专注于构建可扩展系统，解决复杂问题，并对能源的未来产生有意义的影响。
职位描述
我们正在招聘一名客户数据产品经理，帮助塑造 Rhythm 如何将数据作为核心产品能力贯穿整个业务。
该职位位于产品、数据工程和数据科学的交汇点，专注于将客户数据转化为可操作的洞察力和可扩展的产品功能，从而在销售、营销、运营和商业团队中实现可衡量的业务成果。
你不会只负责单一孤立的产品——相反，你将在多个系统和项目中运作，帮助定义客户数据在公司内部如何建模、激活和使用。
这是一个高影响力的跨职能职位，在快速发展的环境中工作，适合同时具备强大产品思维、实际数据能力和利益相关者领导力的人。
你将负责
- 为客户数据项目定义和管理产品需求，将业务目标转化为清晰的规范、流程和实施方案
- 制定并负责客户数据的路线图，平衡短期影响与长期战略能力
- 与销售、营销、运营和商业团队合作，识别数据需求，并将其转化为可操作的产品项目
- 推动数据驱动的功能开发，例如客户细分、生命周期洞察、流失/留存分析和价值建模
- 确保数据项目转化为可衡量的业务影响，包括获取客户、保留客户、减少流失、定价优化和降低服务成本
- 使用 SQL 和现代数据平台（如 Databricks）亲自处理数据，探索机会、验证想法并支持交付
- 与数据科学团队紧密合作，贯穿整个模型生命周期，从构思到生产以及持续的性能监控
- 与数据工程团队合作，确保数据系统可靠、可扩展，并围绕一个统一的数据源进行协调
- 发现将内部数据能力转化为面向客户的功能和产品改进的机会
- 你将带来
查看英文原文
About Rhythm Energy
Rhythm is a renewable energy and technology company redefining how people interact with energy. We combine energy market expertise with technology, design, and data science to deliver simple, transparent, and customer-centric energy solutions.
We’re a mission-driven team focused on building scalable systems, solving complex problems, and making a meaningful impact on the future of energy.
About the Role
We’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
Why You’ll Love Working Here
- 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.
Originally posted on Himalayas