{"id":3991755,"url":"https://alion.io/job/distru-staff-ai-product-engineer-remote","title":"Staff AI Product Engineer | REMOTE","company":{"id":8513,"name":"Distru","domain":"distru.com","url":"https://alion.io/company/distru","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"GraphQL","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Slack","optional":false},{"name":"TypeScript","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-09T22:32:41Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-14T13:03:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Distru\nDistru 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 businesses their all-in-one AI stack.\nWe'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.\nGet to know the team, our culture and our full benefits at distru.com/careers!\nThe Role\nAI 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.\nWe 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.\nYou'll own the architecture and technical direction of our AI product suite, partnering with our Director of AI Engineering, including:\n Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)\nMCP: our MCP that connects Distru to external AI harnesses\nContext 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\nEvals: the eval suites that make our agents reliable in production\nAnd more…\nYou’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.\nYou'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.\nWhat you'll do\nAgentic engineering\nArchitect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems\nIterate and maintain the MCP that connects Distru to Claude & Codex.\nOwn reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high.\nWrite evals to improve our agentic systems from real customer use cases\nBuild a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP\nBuild a contextual memory system that ingests our customers' data and improves how our agents work for them\nSet the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along\nAI research & experimentation\nKeep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge\nRapidly prototype new ideas to present to our team and our customers\nEngineering workflow\nBuild hands-on with Claude Code and similar tools as part of your own workflow\nImprove our agentic coding workflow and bring new discoveries to the team\nWhat success looks like at 6 months\nYou've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement\nYou’ve shipped and iterated on many MCP tools and improvements\nEvery agent you own has an eval suite and observability, so the team catches regressions before customers do\nYou own the architecture of the agentic stack, and other engineers build against patterns you set\nYou’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers)\nYou’ve raised the technical bar on at least one thing the team was doing the slow way\nWhat we look for\nAI fluency\nFor every AI role, we look for three things:\nTool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does.\nWorkflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one.\nBuild fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back.\nYou use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it.\nMust have\n7+ years in full-stack development, ideally on B2B SaaS applications\nMulti-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects\nMCPs: you've built MCPs that are used in production\nProduction systems: a strong grasp of reliability, observability, permissions, and safe workflow execution\nProduct and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation\nModern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly\n Startup agility: you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it\nLow ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics\nInfluence: you’ve shaped roadmap, not just executed it\nClear communication: you raise concerns and propose solutions before being asked\nStrong signal\nBackground building supply chain, ERP, CRM, B2B marketplace, or accounting software\nUX design experience\nAgentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols\nExperience using Claude Code (or similar) to build products on your own\nCannabis industry experience\nHow we work\nWe love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools.\nTaste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user.\nWe stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets.\nYou'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built.\nFor the full picture of our culture and who thrives here, see distru.com/careers.","description_format":"text","description_chars":6884,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cannabis & CBD"],"lifecycle":[{"event":"open","at":"2026-11-09T23:41:07Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.946,"p_room":0.945,"age_days":4,"expected_fill_days":7,"reasons":["conf:1","urgency","win:mid"],"computed_at":"2026-11-14T05:58:10Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/distru-staff-ai-product-engineer-remote","json_url":"https://alion.io/job/distru-staff-ai-product-engineer-remote.json","meta":{"generated_at":"2026-11-14T18:47:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22569,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8513},"rest":"https://alion.io/mcp/rest/get_company?id=8513"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdistru-staff-ai-product-engineer-remote"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdistru-staff-ai-product-engineer-remote"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdistru-staff-ai-product-engineer-remote"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/distru-staff-ai-product-engineer-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdistru-staff-ai-product-engineer-remote"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3991755}},{"tool":"search_jobs","arguments":{"company":"distru.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3991755},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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