VP of Product

DistruCannabis ERP

Remote, WorldwideFull-TimeVp

Salary$250,000 - $400,000 a year

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Job Details

Required Skills: PostgreSQLFull Stack DevelopmentProduct DevelopmentSaaSBigQuery

Have built and run a product organization, including hiring, coaching, and making difficult people decisions.
Have experience building and shipping MCPs (Model Context Protocol) used in production.
Have navigated a product’s expansion into new markets or major new product directions.
Bring a strong technical foundation in the modern SaaS and AI stack, including infrastructure, data, AI models, and full-stack development.
Understand production system concerns, including reliability, observability, permissions, and safe workflow execution.
Be outcome-oriented and measure progress by outcomes.
Remain hands-on with PRDs, tools, and product details, and work directly with engineers.
Have practical fluency with LLM tooling and a point of view on evaluating AI workflows and AI fluency in product management.
Bonus: experience in ERP, accounting, cannabis, or supply chain software.

Own product direction and strategy across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and the AI product suite.
Present quarterly strategy reviews to the executive team, covering the market landscape, ERP and AI sequencing, roadmap, metrics, and resourcing.
Own the product hiring pipeline and define hiring standards.
Maintain the product timeline as a source of truth for the company and technical teams.
Experiment with AI-first product processes and encourage team-wide adoption.
Review and iterate on PRDs, designs, and mockups, and define PRD standards with the team.
Establish an operating cadence with Engineering for planning, roadmap reviews, and ownership boundaries.
Work with Engineering on data infrastructure, including StarRocks, BigQuery, and Postgres, to support AI use cases.
Build foundational AI features, including a unified data layer, agent builder, workflow builder, MCP, and headless experience.
Coordinate with go-to-market teams on product education, launches, and AI-focused content.
Build customer relationships, improve customer feedback processes, and track feature adoption.
Manage, coach, and provide feedback to the product team, including handling performance plans and exits when needed.

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