We're looking for an AI-forward Product Manager who thinks in systems, ships with conviction, and sees AI not as a feature layer but as a product foundation. This role will take significant ownership of parts of our core ERP, Distru Commerce, and our new AI-native product features. You'll report directly to the CTO and work side-by-side with the rest of the product team, engineering, and design.
Distru is at an inflection point. We have deep market penetration in cannabis ERP, a new commerce layer live and growing, and a roadmap that's increasingly AI-native. The PM who takes this role will own a meaningful piece of that roadmap; not just the feature backlog, but the design of how AI agents integrate into user workflows, where automation belongs, and where human judgment must stay front and center.
This is a high-ownership role at a company that ships weekly and cares about getting it right. You'll work directly with the C-suite, set the bar for what great product looks like inside Distru, and help us build the operating system for an entire industry.
What You'll Own
- Define and execute on the product roadmap
- Maintain a clear, prioritized roadmap. Communicate timelines, risks, and tradeoffs proactively
- Write PRDs and work in tandem with engineers to understand and synthesize specific customer requests into meaningful features that improve the system at large
- Integrate AI agents into the Distru user workflow
- Design interaction patterns for AI-assisted planning, spec writing, requirements analysis, and stakeholder communication
- Define when the AI suggests, when it automates, and when it stays silent — and ship the affordances that make this obvious to users
Work closely with engineering, CS, sales and marketing. You are the bridge that pulls insights from all of these departments together and ensures the product is moving in the right direction
Own the Product Roadmap
Own the Product Lifecycle
Cross-Functional Leadership
What We're Looking For
- 5+ years in tech product management
- You've owned and shipped complex features end-to-end — from ambiguous problem statement to launched feature with measurable outcomes
- Demonstrated AI fluency across three dimensions:
- Tool fluency: you know failure modes, context windows, the LLM ecosystem
- Workflow fluency: you know what to automate vs. keep human, and optimize for speed, correctness and scalability
- Product fluency: you know the difference between AI that earns its place in a product and AI that was bolted on to check a box. You've shipped the former.
- Hands-on experience with product management tools. You've lived inside Jira, Linear, Notion, or similar; you know where the friction lives because you've felt it
- Technical fluency: you can read API docs, understand context windows, and write specs engineers and AI agents can build from
- Strong prioritization instincts. You can distinguish urgent from important and hold the line on scope
- Clear communication. Most of your work product starts as written artifacts: PRDs, decision memos, spec documents
- Background in supply chain, ERP, CRM, B2B marketplaces, or accounting software
- Experience with UX design
- Familiarity with agentic systems and multi-agent orchestration
- Experience using Claude Code or similar tools to build products independently
- Early-stage startup experience (sub-50 headcount)
Must-Haves
Nice-to-Haves
Our Interview Process
- Initial Screen: A conversation about your background, your take on AI-forward PM, and mutual fit
- Product Work Session: A take-home prompt sent you work on with live interactions with the Distru team
- Product Work Session Review: A conversation around your product work submission where you and the Distru team dive deeper into your thoughts and decisions
- Final Interview: Call with our CEO to determine final fit
Skills Required
- 5+ years in tech product management
- Owned and shipped complex features end-to-end with measurable outcomes
- Demonstrated AI fluency: tool, workflow, and product fluency with LLMs and failure modes
- Hands-on experience with product management tools (Jira, Linear, Notion, or similar)
- Technical fluency: read API docs, understand context windows, and write engineering/agent specs
- Strong prioritization instincts and scope discipline
- Clear written communication: PRDs, decision memos, and spec documents
- Background in supply chain, ERP, CRM, B2B marketplaces, or accounting software
- Experience with UX design
- Familiarity with agentic systems and multi-agent orchestration
- Experience using Claude Code or similar tools to build products independently
- Early-stage startup experience (sub-50 headcount)








