Principal Product Manager, Enterprise Data Solutions

A day in the life (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).

What you'll need to thrive (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

Zone A
$190,000—$304,000 USD
Zone B
$165,000—$264,000 USD
Zone C
$149,000—$238,000 USD