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Jobs(38,923)/Senior Product Manager Role(693)/Dutchie (5) - Senior Product Manager, Data Products
Dutchie

Dutchie - Senior Product Manager, Data Products

Remote - Americas$149k - $201k+ Equity1w ago
RemoteSeniorNAArtificial IntelligenceData AnalyticsSenior Product ManagerB2BData QualitySnowflakedbtDagsterEcommerceGovernance

Requirements

• 7+ years of progressive experience in product management, with demonstrated ownership of working with data products and production-grade machine learning systems. • Experience turning internal data infrastructure into externally-facing products or platform capabilities—not just maintaining pipelines, but defining how data becomes a product and customer experiences. • Strong technical fluency across data pipelines, ML/NLP systems, and data quality tooling; comfort engaging deeply with data engineering teams on architecture, pipeline design, and quality metrics • Experience with product catalog, taxonomy, or product information management (PIM) systems, ideally in a multi-sided marketplace or platform context • Proven ability to manage complex cross-functional dependencies across multiple engineering teams (data engineering, application engineering, external partners, POS, ecommerce) and ship cohesive outcomes. • B2B software experience with an understanding of how platform products are adopted and configured by business operators—not just end consumers • Experience leveraging AI/ML technologies (including LLMs) to improve product quality, automate classification, or drive intelligent matching is a strong plus • Excellent communication skills with the ability to create clarity across technical and non-technical stakeholders, translating data platform capabilities into business value • Experience designing governance models for shared data assets—resolving conflicts between contributors, managing data provenance, and balancing canonical authority with contributor flexibility • Comfort owning product identifier systems (SKU hierarchies, parent-child product relationships, cross-jurisdiction variants) as a product problem, not just an engineering one • It’s a Bonus if You… • Experience in cannabis, regulated industries, or verticals with complex compliance-driven product categorization requirements • Familiarity with modern data stack tooling (dbt, Dagster, Snowflake, or similar orchestration and transformation tools) • Background in building or scaling B2B marketplace platforms where product identity and catalog interoperability were central challenges • Experience with product graph or knowledge graph approaches to structuring product data • You’ll Get… • You’ll Get… • We are targeting a salary of $149,000 - $201,000 based on the intended level for this role. • In addition to cash compensation, our total rewards package includes: • Full medical benefits including dental and vision plans to ensure you always have the best care. • Equity packages in the form of stock options to all employees. • Technology (hardware, software, reading materials, etc..) allowance • Flexible vacation and sick days

Responsibilities

• Own the end-to-end product vision, strategy, and roadmap for a portfolio of data products consumed across ecommerce, POS, B2B, and analytics. • Partner closely with Data Engineering to evolve the underlying data platform—including matching, classification, canonical naming, and quality—to deliver measurable customer and business outcomes. • Define and ship data-driven experiences for our customer bases: retailer-facing (e.g., operational efficiency), business-facing (e.g., content contribution via partner portals), and internal (e.g., APIs, SLAs). • Develop next-generation AI and Machine Learning systems, such as next best action and recommendations engines, to drive significant product improvements. • Own the architecture and governance models for critical data assets (e.g., product identifiers, taxonomies), resolving conflicts and balancing canonical authority with contributor flexibility. • Translate data coverage, quality, and structure into measurable business outcomes, such as merchandising conversion, receiving efficiency, or analytic integrity.

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