About The Position

The Senior Engineering Manager, Data Foundation & Data Access will lead the teams responsible for Rockerbox’s core data platform, data ingress, datalake adoption, APIs, permissions, and customer-facing data access patterns. This role owns the connection between foundational data systems and the application/API layers that make that data usable by internal teams, customers, and AI-enabled workflows.

Requirements

  • Experience managing engineering teams responsible for data platforms, pipelines, APIs, or infrastructure.
  • Strong technical judgment across data architecture, data reliability, and application-facing access patterns.
  • Proven ability to lead cross-functional initiatives across Engineering, Product, Data Science, and Customer Success.
  • Track record of delivering platform improvements with measurable business impact.
  • Ability to operate at broader organizational scope beyond a single functional team.
  • Strong people leadership, communication, and execution skills.

Nice To Haves

  • Experience with datalake or warehouse adoption across multiple teams.
  • Experience building Data APIs, permissions systems, or customer-facing data access layers.
  • Experience with AI-enabled workflows, LLM tooling, or agentic data access patterns.
  • Experience reducing operational load through automation.
  • Familiarity with marketing analytics, MTA, MMM, testing, and customer data platforms.

Responsibilities

  • Lead engineering teams responsible for data ingress, pipelines, datalake adoption, Data APIs, permissions, and data access interfaces.
  • Own execution and technical direction across Rockerbox’s data foundation and customer-facing data access layers.
  • Ensure reliable, timely, and scalable client data delivery.
  • Align ingestion, aggregation, API access, permissions, and AI-enabled data workflows under clear ownership.
  • Partner with Product, Applications, Integrations, Data Science, Customer Success, and DV stakeholders on platform strategy.
  • Enable internal teams and customers to access Rockerbox data through APIs, CLI tooling, and future agentic workflows.
  • Improve team efficiency through automation, reduced maintenance burden, and clearer ownership.
  • Manage, develop, and retain engineers through a period of organizational transition.
  • Reduce bottlenecks between Data, Applications, and customer-facing product development.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service