Staff AI Product Engineer | REMOTE

About Distru

Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform.

We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial cannabis businesses their all-in-one AI stack.

We're growing and profitable, with 5/5 stars on Glassdoor.

Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor.

Get to know the team, our culture and our full benefits at distru.com/careers!

The Role

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, messaging, and more)
• 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 the harness
• 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 how we architect and ship it. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of our engineering team.

What you'll do

Agentic engineering

• Architect and build a production multi-agent system that can safely take actions across Distru and external tools
• Iterate and maintain the MCP that connects Distru to Claude & Codex.
• Own reliability, observability, and durable execution end to end. The harness takes real actions on customer data, so errors are expensive and you will build the systems that catch them before they happen.
• Write evals to improve our agentic systems from real customer use cases
• Build a unified data system that pulls data from multiple sources into a singular data layer that we can perform AI on
• Build a contextual memory system that ingests our customers' data and improves how our agents work over time
• Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of the team up to speed

AI research & experimentation

• Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches for our use cases
• Rapidly prototype new ideas to present to our team and our customers

Engineering workflow

• Build hands-on with Claude Code and similar tools as part of your own workflow
• Improve our agentic coding workflow and bring new discoveries to the team

What success looks like at 6 months

• You've shipped core improvements to our harness in production that our customers use daily, with clear measurable gains
• You've shipped and iterated on many MCP tools and improvements
• Every agent you own has an eval suite and observability, so the team catches regressions before customers do
• You own the architecture of the agentic stack, and other engineers build against patterns you set
• You've built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve data, a new tool, or a new memory system)
• You've raised the technical bar on at least one thing the team was doing the slow way

What we look for

AI fluency

For every AI role, we look for three things:

• Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or commands, and you can show us how you work
• Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool for the job
• Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to measure success

You use AI tools daily and can tell us specifically where your fluency is strong and where you're still growing.

Must have

• 7+ years in full-stack development, ideally on B2B SaaS applications
• Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes
• MCPs: you've built MCPs that are used in production
• Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution
• Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions
• Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you have opinions on all of them
• Startup agility: you've worked at an early-stage startup (under 20 engineers) and you've been the person keeping things moving
• Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal recognition
• Influence: you've shaped roadmap, not just executed it
• Clear communication: you raise concerns and propose solutions before being asked

Strong signal

• Background building supply chain, ERP, CRM, B2B marketplace, or accounting software
• UX design experience
• Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols
• Experience using Claude Code (or similar) to build products on your own
• Cannabis industry experience

How we work

• We love building with AI. Trying new models the week they drop, building agents for fun, and forming opinions on what to use and when.
• Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what actually matters for our customers.
• We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of intermediaries.
• You'll build on what we've learned.

You'll have access to the team's combined AI knowledge and the shared memory of what we've tried before.

For the full picture of our culture and who thrives here, see distru.com/careers.

Benefits

Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and our open roles are all there.

Check it out to see if Distru is the place for you.

Here are a few highlights (exact benefits vary by country and employment type):

• 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 first principles on AI
• Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and how you evaluate AI systems
• Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, so we can see how you think
• Take-home review (60 min): a technical deep dive into your submission with two engineers, including an LLM-assisted coding exercise
• References and offer

Distru was formed by an environment of mutual respect and trust made up by people working together with a shared vision.

We are committed to providing a work environment that is free of unlawful harassment and discrimination.

Distru is an equal opportunity employer that values diversity in its workforce.

We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We encourage all candidates to apply, even if your experience doesn't match every bullet point. If you are passionate about what we do, we would love to hear from you!