Note: The job is a remote job and is open to candidates in USA. 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)
Skills
- 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
Benefits
- Cash compensation (overtime, bonus/commissions if eligible)
- Equity
- Benefits
- AI tools provided across all disciplines, from Engineering and Product to Sales and Support
- Hybrid work model that fosters in-person collaboration while valuing individual needs
Company Overview
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