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Jobs · Engineering · New York

Product Lead, Data Catalog & Semantic Layer

Rippling · New York, NY · 2 wk ago
HybridEngineeringFull-time

Roadmap and Strategy

  • Roadmap and strategy
  • Data catalog and metadata layer
  • Field selection and semantic mapping
  • Data lineage
  • Catalog UI
  • Cross-team standards and proactive partnership

Data Catalog and Metadata Layer

  • Data catalog and metadata layer
  • Systems that describe every table, field, and object in Rippling's data model
  • Auto-generate rich metadata for customer-defined custom fields, custom objects, and imported data

Field Selection and Semantic Mapping

  • Product strategy for how our AI disambiguates user intent
  • When to auto-resolve, when to ask, and how the mapping gets smarter over time

Data Lineage

  • The model and tooling that map how data flows and depends on itself
  • Serving humans exploring their data, AI features reasoning about context, and the platform itself (so we can warn users before a deleted field breaks a downstream report or workflow)

Catalog UI

  • Search, browse, discovery, detail views, lineage visualization, and metadata editing
  • For non-technical users who've never looked at a schema

Cross-team Standards and Proactive Partnership

  • Setting the bar for how metadata works across Rippling, for both internal teams and customer data
  • Building the review processes, standards, and intake that make good practice stick across the org

Requirements

  • 8+ years of product experience, with meaningful time in the data platform or data infrastructure space
  • AI-native thinking: understanding how LLMs use structured context, the importance of metadata grounding a model's behavior, and the impact of catalog quality on AI feature reliability
  • Systems orientation: instinct to scale solutions, not manual processes
  • Cross-functional influence: building relationships and anticipating needs before they arise
  • Strong opinions, well-reasoned: driving points of view once formed
  • Technical depth: reading schemas, discussing retrieval trade-offs, and working with engineers as peers
  • Comfort with foundational work: motivated by building the layer that makes everything else work

Pay and Benefits

  • Competitive salary + benefits + equity
  • Salary range: 174,000 - 290,000 USD per year (US Tier 1)
  • Location-specific alignment with one of the ranges above
  • Factors considered: professional background, experience, and location
  • Final offer amounts may vary from the amounts listed

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers.

For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

This role owns the data catalog and semantic layer, which is one of the most foundational and high-leverage product roles at Rippling right now.

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics.

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

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