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Distru

VP of Product

Distru

. Lead the product department as Distru’s first VP of Product .

Posted 10/12/2026full-timeRemoteLead💰 $250,000 - $400,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading product strategy and execution within AI and ERP environments, with a strong focus on building and managing high-performing product teams. Proficient in navigating product-market fit and delivering impactful product solutions that drive customer success and market expansion.

Highest-signal resume keywords
Product Strategy LeadershipAI Product DevelopmentMCP (Model Context Protocol) ExperienceSaaS Infrastructure KnowledgeTeam Building and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product ManagementAI FluencyFull-Stack DevelopmentData Infrastructure DesignPRD DevelopmentFeature Adoption MeasurementMarket Expansion StrategyTechnical DocumentationWorkflow ExecutionPerformance Management
Soft Skills
Outcome-Oriented MentalityRelationship BuildingCoaching and MentoringCollaboration with EngineersAdaptability
Tools & Technologies
StarRocksBigQueryPostgreSQLERP SystemsAI ModelsLLM Tooling
Industry Keywords
ERPSaaSAIProduct-Market FitCustomer SuccessSupply Chain SoftwareAccounting SoftwareCannabis Industry

Tech Stack

Tools & technologies
BigQueryERPPostgres

About the role

Key responsibilities & impact
  • Lead the product department as Distru’s first VP of Product
  • Work directly with the executive team to navigate product-market fit in the AI era
  • Own the AI product suite, AI infrastructure direction, ERP product line, and product strategy
  • Shape product direction across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and the AI product suite
  • Deliver quarterly strategy reviews to the executive team covering market landscape, ERP/AI sequencing, roadmap, metrics, and resourcing
  • Own the product hiring pipeline and define hiring standards
  • Own the product timeline as the source of truth for the company and technical teams
  • Experiment with AI-first product processes and foster organization-wide adoption
  • Review and iterate on PRDs, designs, and mockups; define PRD standards
  • Ensure high-quality MCP and API documentation and supporting materials
  • Establish an operating cadence with Engineering
  • Shape data infrastructure for AI use cases, including StarRocks, BigQuery, and PostgreSQL
  • 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-forward content
  • Foster conviction around product choices and directions
  • Improve the Customer Success, Sales, and customer feedback pipeline
  • Build relationships with key customers
  • Measure and track feature adoption
  • Manage, coach, and develop the product team, including performance management and difficult personnel decisions
  • Expand the product team from 4 to 8+

Requirements

What you’ll need
  • Experience building and running a product organization, including hiring, coaching, and making hard people decisions
  • Experience building and shipping MCPs (Model Context Protocol) used in production
  • Experience expanding a product into new markets or major new product directions
  • Strong technical foundation in the modern SaaS and AI stack, including infrastructure, data, AI models, and full-stack development
  • Strong understanding of production system concerns: reliability, observability, permissions, and safe workflow execution
  • Outcome-oriented mentality
  • Willingness and ability to work hands-on with PRDs, tools, and details
  • Ability to work directly with engineers
  • Real AI fluency, including hands-on experience with LLM tooling and a point of view on evaluating AI workflows or AI fluency in a product manager
  • Bonus: experience in ERP, accounting, cannabis, or supply chain software

Benefits

Comp & perks
  • Fully remote work environment
  • Competitive medical, dental and vision plan options for the employee and their dependents (applicable to W2 US-based employees)
  • 18 days Paid Time Off
  • 11 Holidays
  • Competitive compensation structure including equity
  • Company wide AI classes and workshops
  • AI demo days
  • AI hackathons
  • Access to best in class models/tools