Product Manager

\n Why This Role Exists
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Profisee is how enterprises finally solve the data quality issues that have been holding back their most strategic initiatives.

Our AI-first master data management (MDM) platform cleans, unifies, and improves critical enterprise data, providing the trusted foundation organizations need for AI, analytics, and digital transformation.
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AI systems fail in enterprises not because the models are weak but because the data underneath them is ambiguous, duplicated, and undocumented.

An agent that retrieves three versions of the same customer will answer confidently and wrongly.

This role exists to close that gap through data governance, data catalog integration, data products, and third-party data enrichment — resolved entities, meaningful semantics, explicit ownership, and enforceable access policy, delivered in a form an agent can actually consume.
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\n Reporting & Key Relationships
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You will work closely with engineering, design, pre-sales, customer success, marketing, catalog platform partners (Microsoft Purview, Databricks Unity Catalog, Collibra, Alation, Atlan), and external data providers (e.g., Melissa, Loqate, Dun & Bradstreet, Experian, ZoomInfo).

You are expected to become the go-to authority for this product domain — internally and with customers — within your first year.
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\n Key Performance Objectives
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1.

Complete structured discovery and publish a prioritized roadmap across all four domains.
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By end of Month 3
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Interview a representative set of customers, data stewards, and CDO-organization stakeholders, and mine support escalations and pre-sales/CS feedback, across data governance, catalog integration, data products, and enrichment.

Translate that research into a prioritized, written set of problems and opportunities that engineering leadership and go-to-market stakeholders sign off on as the basis for the next two quarters of work.
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2.

Define and ship an initial, buildable version of the data product concept.
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By Month 6
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Land a clear definition of a Profisee data product — a curated, owned, versioned set of mastered data with a documented contract, quality guarantees, an access policy, and a consumption endpoint (delivered primarily through our MCP server).

Specify it precisely enough that engineering can build against it without re-litigating the concept, and clearly enough that sales can position and demo it to at least one design partner or active prospect.
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3.

Deliver a catalog integration that customers recognize as a genuine step up from a one-way export.
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By Month 9
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Ship bidirectional integration with at least one major catalog platform (e.g., Microsoft Purview, Collibra) covering both outbound publishing (entity models, quality scores, lineage, stewardship) and inbound inheritance (glossary terms, classifications, sensitivity labels).

Validate success with direct confirmation from a reference customer who already has meaningful investment in that catalog.
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