Senior Product Manager, Data Products

Dutchie

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Founded in 2017, Dutchie is a comprehensive technology platform powering dispensary operations, while providing consumers with safe and easy access to cannabis. Dutchie is the leading technology company in the cannabis space and was named in Fast Company’s 10 Most Innovative Companies in North America.

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, and quality
  • Define and ship data-driven experiences for retailer-facing, business-facing, and internal customers
  • Develop next-generation AI and Machine Learning systems, such as recommendation engines
  • Own the architecture and governance models for critical data assets like product identifiers and taxonomies
  • Translate data coverage and quality into measurable business outcomes

Requirements

  • 7+ years of progressive experience in product management
  • Demonstrated ownership of data products and production-grade machine learning systems
  • Experience turning internal data infrastructure into externally-facing products
  • Strong technical fluency in data pipelines, ML/NLP systems, and data quality tooling
  • Experience with product catalog, taxonomy, or PIM systems
  • Proven ability to manage complex cross-functional dependencies
  • B2B software experience
  • Experience designing governance models for shared data assets

Preferred Qualifications

  • Experience in cannabis or regulated industries
  • Familiarity with modern data stack tooling (dbt, Dagster, Snowflake)
  • Background in building or scaling B2B marketplace platforms
  • Experience with product graph or knowledge graph approaches

Skills & tools

Product ManagementMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years product management experience
  2. 02Experience with data products and ML systems
  3. 03Technical fluency in data pipelines and ML/NLP
  4. 04Experience with product catalog or PIM systems
  5. 05B2B software experience
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