Product Manager

• A track record of owning a product area end-to-end — from discovery and strategy through delivery and iteration — in a B2B SaaS or enterprise software environment (typically 3+ years of PM experience, though the pattern of ownership matters more than the tenure).

• Real, demonstrable understanding of data governance in practice: how data organizations actually use catalogs, how metadata is maintained and consumed downstream, and why governance programs succeed or fail — as a product owner or as a practitioner who ran one of these programs.

• A defensible, articulated point of view on how governed data and metadata feed AI systems — specifically why entity resolution and semantic context determine whether an AI answer can be trusted.

• Experience shipping integrations or capabilities through agile engineering teams: sprint planning, backlog prioritization, and writing specifications engineers can build against without hand-holding.

• Comfort with the commercial mechanics of product work — pricing, packaging, metering, and vendor/provider cost structures — since two of the six objectives above are explicitly commercial.

• A history of running customer research (interviews, escalation analysis, pre-sales/CS feedback loops) and turning it into decisions, not just documentation.

• Communication that works in both directions — able to hold their own with engineers on a technical integration question and with senior leadership on why it matters to the business.

• A demonstrated tolerance for ambiguity: someone who has taken a vaguely-scoped, cross-functional problem and driven it to a resolved, shippable outcome.

• Direct experience at or with a data catalog or metadata platform — Microsoft Purview, Collibra, Alation, Atlan, Databricks Unity Catalog, Snowflake Horizon, or Informatica.

• Familiarity with data mesh, data product, and data contract practice, including a grounded view of where these ideas hold up in large enterprises and where they don't.

• Experience grounding AI or agent systems in enterprise data through retrieval, MCP, or comparable approaches.

• Experience with master data management or data integration platforms.

• Direct experience with third-party data providers such as Melissa, Loqate, Dun & Bradstreet, Experian, or ZoomInfo — as a buyer, integrator, or product owner.

• Experience owning an API-metered or consumption-priced product capability.

• Familiarity with regulatory and control frameworks that drive governance programs — GDPR, CCPA, HIPAA, or frameworks like BCBS 239.

• Familiarity with the Microsoft ecosystem — Azure, Microsoft Fabric, Power BI, or Dynamics.

• Working technical knowledge of databases, SQL, APIs, and cloud architecture.

• Prior experience directly supporting pre-sales or customer-facing engagements as part of a product role.

• Experience working with global partner ecosystems, including systems integrators and value-added resellers.

We evaluate performance across four competencies: User-Centric Mindset, Communication and Collaboration, Execution, and Business Outcomes. We invest in the growth and development of our team members and believe in providing honest, constructive feedback.

We value strong cross-functional relationships and believe the best products come from teams where engineering, design, product, and go-to-market functions work closely together.

Our product team operates with a high degree of ownership. Product Managers are not project managers or ticket writers. You are expected to be a domain expert, a customer advocate, and a strategic thinker who can also roll up your sleeves and get things done.