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Dutchie

Everything you need to run an efficient & compliant cannabis dispensary: POS, Payments, Ecommerce, Insurance, and more.

Senior Product Manager, Data Products

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

$149K - $201K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglish

Job Description

Senior Product Manager, Data Products

Dutchie

• 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.

Job 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

Benefits

  • 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

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