Principal Product Manager, Enterprise Data Solutions

Toast creates technology that helps restaurants and local businesses succeed in a digital world. Toast is seeking a Principal Product Manager to own the Enterprise Data Solutions platform roadmap and self-service experience, enabling domain technical data teams to build, govern, and operate data products at scale.

Responsibilities:

• Own the platform product roadmap — catalog, semantic layer, observability, access management, lineage, and self-service tooling — prioritizing by what unlocks domain independence
• Design and evolve the self-service experience: discovery, onboarding, certification workflows, and documentation
• Run discovery with domain technical data teams — understand their needs, pain points, and maturity — and translate into platform requirements
• Design the paved paths, templates, and tooling domain teams follow to build and maintain data products — ensuring governance standards are enforceable through platform capabilities
• Drive platform adoption. Measure whether teams are using what you shipped and iterate until they are
• Partner hand-in-hand with Data Engineering & Platform — they build and operate the platform; you define what it needs to become and why — balancing new capability against reliability and operational excellence
• Ensure domain maturity progression is unblocked by tooling — teams ready to advance have what they need
• Maintain interoperability — data products built by any domain are discoverable, governed, and consumable by others (humans and AI agents)

Requirements:

• 7+ years in product management, with significant experience in data platforms, developer tools, or infrastructure products
• Experience designing for technical teams as the customer — building tools, frameworks, and paved paths that engineers and analysts adopt willingly
• Track record shipping platform capabilities that enable self-service at scale
• Experience operating in strategic ambiguity — this function is being built, not inherited
• Deep understanding of the modern data stack: warehouses, orchestration, semantic layers, catalogs, data quality frameworks, observability
• Familiarity with data mesh or federated data architecture — strong systems thinker who designs operating models and platform experiences, not just features
• Experience in restaurant tech, fintech, or B2B SaaS preferred
• Familiarity with AI enablement and experience defining platform adoption metrics preferred