VP of Product leading Distru’s AI-powered ERP and B2B eCommerce platform strategy. Owning AI infrastructure, product direction, team expansion, and go-to-market alignment.
Responsibilities
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
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
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
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