Senior Product Manager, Data Products

About Dutchie

About This Job

• Developing and governing the core Product Catalog and data platform.
• Enhancing recommendations systems for e-commerce.
• Optimizing Ads optimization systems.
• Pioneering new data-intensive initiatives that are foundational to the Dutchie platform.

What You'll Do...

• 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.

What You Bring...

• 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...

• 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