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Product Lead, Reporting and Analytics

Rippling
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Hybrid (San Francisco, CA)$153k - $255kFull-timePosted 5d ago

About the role

Product Lead responsible for AI-powered Reporting and Analytics within Rippling’s Data Cloud, owning vision, strategy, roadmap, and execution to turn multi-source data into useful, actionable insights through AI-generated reports, agentic insights, and embedded analytics across Rippling applications.

Responsibilities

  • Own the vision, strategy, roadmap, and execution for AI powered Reporting and Analytics within Rippling’s Data Cloud.
  • Define how reporting works across Rippling, including AI-generated reports, agentic pro-active insights delivery, pre-built reports, customizable reports, and embedding reports in various surfaces of the overall Rippling app
  • Lead the next generation of agentic analytics: answering questions, explaining trends, monitoring metrics, surfacing meaningful changes, and recommending actions.
  • Partner with Data Catalog to ensure reporting experiences can understand the meaning of data, find the right source, and present trusted answers.
  • Collaborate with product teams across Payroll, Recruiting, HR, IT, Finance, and other Rippling applications to understand reporting needs and identify platform patterns that should be solved centrally.
  • Enable third-party developers and internal teams to define, package, and ship analytics products or reports for customers.
  • Work closely with engineering teams in San Francisco and Seattle, as well as cross-functional partners across Product, Design, AI, Data Catalog, Developer Platform, and native application teams.
  • Work directly with enterprise and mid-market customers to understand their reporting workflows, validate product direction, drive adoption, and measure customer value.
  • Use AI in your own work every day to synthesize research, explore data, prototype experiences, draft requirements, and test ideas faster. Apply your judgment to verify outputs and make product decisions.
  • Translate ambiguous customer and platform needs into clear jobs-to-be-done, product requirements, milestones, trade-offs, and launch plans.

Qualifications

  • 5+ years of product management experience, with a track record of shipping complex B2B products to external customers.
  • Deep experience in analytics, reporting, BI, data platforms, data products, or adjacent customer-facing data products.
  • Experience building products customers paid for and used directly; internal-only data tooling, analytics implementation, or dashboard-building experience alone is not sufficient.
  • Strong product judgment for data-heavy workflows, including how business users think about metrics, reports, permissions, data quality, and decision-making.
  • Technical fluency in data modeling, querying, metrics, semantic layers, permissions, and platform trade-offs, with the ability to work deeply with engineering.
  • Strong systems thinking and the ability to connect reporting needs across many products without creating one-off solutions for every team.
  • Excellent customer and UX judgment, with the ability to make sophisticated analysis feel simple, intuitive, and trustworthy.
  • AI fluency and curiosity, especially around how agents can investigate questions, monitor data, generate reports, explain insights, and recommend actions.
  • Experience with agentic workflows or AI-powered analytics products is a strong plus, but not required.
  • Ability to co-own problem framing and solution strategy with engineering and design partners, question assumptions from first principles, and resolve trade-offs constructively.
  • Clear, concise communication skills, including the ability to explain technical product concepts to executives, engineers, customers, and non-technical users.
  • High ownership and autonomy; capable of shipping with limited day-to-day oversight and prioritizing impactful issues.
  • Comfort working in a fast-moving environment with limited resources, tight timelines, and high expectations for product quality.
  • Alignment with Rippling’s leadership principles, especially pushing the limits of possible, challenging directly, and going and seeing customer problems firsthand.

Skills

Required:Product managementAnalytics / BI / data platformsData modeling and queryingCross-functional collaboration
Nice to have:AI / AI-powered analytics
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

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