[Hiring] Staff AI Product Engineer @Distru

Role Description

AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on.

We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it.

You'll own the architecture and technical direction of our AI product suite, partnering with our Director of AI Engineering, including:

• Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)
• MCP: our MCP that connects Distru to external AI harnesses
• Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers
• Evals: the eval suites that make our agents reliable in production
• And more…

You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold.

You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers.

Qualifications

• 7+ years in full-stack development, ideally on B2B SaaS applications
• Hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects
• Experience building MCPs that are used in production
• Strong grasp of reliability, observability, permissions, and safe workflow execution
• Experience operating as both product and engineering, comfortable owning scoping and decisions
• Proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph
• Experience working at an early-stage startup (under 20 engineers)
• Team-first mentality with a focus on measurable success
• Experience shaping roadmaps and clear communication skills
• Background building supply chain, ERP, CRM, B2B marketplace, or accounting software
• UX design experience
• Experience using Claude Code (or similar) to build products
• Cannabis industry experience

Requirements

• Tool fluency: you build with Claude Code or similar every day
• Workflow fluency: you write evals before you trust a prompt
• Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back

Benefits

• Fully remote across 4 continents
• Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave
• 18 days PTO + 11 holidays (sick days don't count toward PTO)
• Medical, dental, vision + 401(k) for US employees
• The best AI tools available and a generous AI stipend for everything else
• Yearly in-person team offsites

Interview Process

• Application questions: three short written questions in Lever on how you build with LLMs
• Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack
• Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup
• Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details
• Take-home review (60 min): a technical deep dive into your submission with two engineers
• References and offer