Mechro Founding Applied AI Engineer

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    "raw": "Tulsa, OK, Tulsa, Oklahoma",
    "city": "Tulsa",
    "region": "OK",
    "country": "United States",
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{
  "id": "520887",
  "job": {
    "id": "526780",
    "division": null,
    "department": {
      "id": "72832",
      "name": "Mechro"
    },
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  "url": "https://gitwit.pinpointhq.com/en/postings/6a91394e-7d4b-433a-a5b5-9232a20f989c",
  "path": "/en/postings/6a91394e-7d4b-433a-a5b5-9232a20f989c",
  "title": "Mechro Founding Applied AI Engineer",
  "benefits": "<ul><li><!--block-->Base Salary: $165,000–$190,000</li><li><!--block-->Founder-level equity</li><li><!--block-->Relocation support</li><li><!--block-->Excellent health, vision, and dental</li><li><!--block-->401(k) with match</li><li><!--block-->Generous PTO</li><li><!--block-->Cell reimbursement, parking stipend</li><li><!--block-->Weekly team lunches</li><li><!--block-->Dog-friendly office</li><li><!--block-->Flexible, high-autonomy culture</li></ul><h1><!--block--><br><strong>Why This Role Matters</strong></h1><div><!--block-->Machine manufacturers who move first will own the intelligence layer of their industry. The knowledge base you build, the one that captures decades of field wisdom, becomes their moat.<br><br></div><div><!--block-->This is a chance to:</div><ul><li><!--block-->Build a category-defining AI product</li><li><!--block-->Shape engineering direction from day one</li><li><!--block-->Work directly with field techs, operators, and engineering teams</li><li><!--block-->Turn real-world troubleshooting into data that transforms how machines are serviced</li><li><!--block-->Help Mechro become the standard for AI-powered support across an entire sector</li></ul><div><!--block-->You won’t just contribute to value. You’ll create it.<br><br></div><h1><!--block--><strong>How to Apply</strong></h1><div><!--block-->No cover letter. Just better questions.<br><br></div><div><!--block-->Please apply with:</div><ol><li><!--block-->A short pitch (2–3 sentences about yourself)</li><li><!--block-->Answers to these prompts:&nbsp;<ul><li><!--block-->What’s the last technology or tool you learned that fundamentally changed how you build software?</li><li><!--block-->Describe the last feature or product you shipped that reached real users. Why did it matter?</li></ul></li></ol><div><!--block-->We read every application carefully. Concrete examples &gt; buzzwords.</div><div><!--block--><br>If you want to build something users will touch every day, something that powers real machines in the real world, we’d love to talk.</div>",
  "location": {
    "id": "5364",
    "city": "Tulsa",
    "name": "Tulsa, OK",
    "province": "Oklahoma",
    "postal_code": null
  },
  "deadline_at": null,
  "description": "<div><!--block--><strong>Build the AI Troubleshooting Engine That Powers the Future of Heavy Machinery.<br></strong><br></div><div><!--block-->We’re not hiring just another engineer. We’re hiring the founding, forward-deployed engineer who will bring Mechro’s AI troubleshooting platform to life by owning customer outcomes end-to-end, from first discovery workshop to production rollout. You’ll work directly with machinery manufacturers (and their distributors/service teams) to turn messy, real-world troubleshooting into a continuously improving AI system. The technical partner who owns the zero-to-one build, shapes the product with real customers, and helps define the intelligence layer for the entire heavy-equipment ecosystem. <br><br><a href=\"https://www.mechro.ai/\">Mechro</a> is a new AI-native venture built inside Gitwit’s venture studio, designed in partnership with leading machinery manufacturers. Our mission is bold and simple: Turn frontline troubleshooting into a continuous learning system that makes machines smarter, support teams faster, and field operators more confident.<br><br>This role is for the engineer who wants to build something that <em>actually</em> gets used on job sites, in service bays, and in the hands of technicians diagnosing real machines every day.<br><br></div><h2><!--block--><strong>What Mechro Is Building</strong></h2><div><!--block-->Every machine manufacturer is dealing with the same pain:</div><ul><li><!--block-->Support lines overwhelmed with repetitive questions</li><li><!--block-->Tribal knowledge disappearing as senior techs retire</li><li><!--block-->Field intelligence scattered across notebooks, calls, and emails</li><li><!--block-->Manuals that can’t keep up with the real world</li></ul><div><!--block-->Mechro changes that.<br><br></div><div><!--block-->We’re building an AI troubleshooting assistant that becomes the first line of diagnosis for distributors, support techs, and field operators. Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical service data, field notes, and escalations to create a living, continually improving knowledge base.<br><br></div><div><!--block-->Every interaction makes the next one better.</div><div><!--block--><br>Every fix makes the manufacturer smarter.</div><div><!--block--><br>This is the future of support for heavy machinery, and you’ll be the one building it.</div>",
  "compensation": "$165,000 - $190,000 / year",
  "reporting_to": "",
  "workplace_type": "hybrid",
  "benefits_header": "Compensation & Benefits",
  "employment_type": "full_time",
  "workplace_type_text": "Hybrid",
  "compensation_maximum": 190000,
  "compensation_minimum": 165000,
  "compensation_visible": true,
  "employment_type_text": "Full Time",
  "key_responsibilities": "<h2><!--block-->The Role</h2><div><!--block-->This is a delivery-first engineering role that will position you as the technical cornerstone of Mechro. You’ll be embedded with customers to understand workflows, define success, integrate their systems/data, and ship working solutions into production. Then you’ll bring what you learn back into the core platform so each deployment makes the product stronger and more repeatable.<br><br></div><div><!--block--><strong>This role is perfect for someone who</strong></div><ul><li><!--block-->Thrives in zero-to-one environments</li><li><!--block-->Ships fast and cares deeply about product usefulness</li><li><!--block-->Wants to build with real users and see immediate impact</li><li><!--block-->Enjoys owning AI systems end-to-end</li><li><!--block-->Likes wearing multiple hats and setting the tone for future engineers</li></ul><h3><!--block--><strong>How you’ll spend your time</strong></h3><ul><li><!--block--><strong>50–70% forward-deployed delivery</strong>&nbsp;<ul><li><!--block-->Discovery, integration, implementation, go-live, iteration</li></ul></li><li><!--block--><strong>30–50% platform/product engineering</strong>&nbsp;<ul><li><!--block-->Core architecture, reliability, AI evaluation + monitoring</li></ul></li></ul><div><!--block-->Your time focus will flex with customer onboarding cycles.<br><br></div><div><!--block--><strong>Areas of responsibility</strong></div><ul><li><!--block-->You’ll own the architecture, help drive decisions about what gets built and why.</li><li><!--block-->Lead full-stack development using React + TypeScript, Node/NestJS, and Postgres/MongoDB</li><li><!--block-->Build the AI layer LLM integrations, retrieval, embeddings, evaluation loops</li><li><!--block-->Stabilize and scale the MVP into a production-ready troubleshooting assistant</li><li><!--block-->Run technical customer integrations, including scoping, implementation calls, and on-site visits</li><li><!--block-->Implement reliability systems monitoring, alerting, runbooks, incident response</li><li><!--block-->Establish early engineering culture, onboarding docs, architecture patterns, and delivery cadence</li><li><!--block-->Translate user problems into product decisions that shape the roadmap</li></ul><h2><!--block-->Travel &amp; working model</h2><div><!--block-->Hybrid, in Tulsa.&nbsp; Due to the nature of this role, working in person with your team and your customers is critical to success.<br><br>~<strong>75% in-office.</strong> Relocation supported.<br>~<strong>25% travel to customer sites.</strong> Concentrated around discovery sprints and releases.</div>",
  "compensation_currency": "USD",
  "compensation_frequency": "year",
  "skills_knowledge_expertise": "<ul><li><!--block-->5+ years full-stack engineering experience with shipped, user-facing products</li><li><!--block-->Strong experience with React + TypeScript, Node/NestJS, and SQL/NoSQL databases</li><li><!--block-->Practical experience integrating LLMs/AI APIs into real applications</li><li><!--block-->Zero-to-one ownership stories that show grit, ambiguity navigation, and user impact</li><li><!--block-->Experience running B2B/enterprise customer integrations</li><li><!--block-->Comfort balancing speed with reliability in early-stage systems</li><li><!--block-->Excellent written and verbal communication</li><li><!--block-->Strong “delivery energy”. You like owning outcomes in the real world, not just writing elegant code.</li></ul><h1><!--block--><strong>Extra Awesome</strong></h1><ul><li><!--block-->Experience with RAG systems, vector databases, or ML evaluation pipelines</li><li><!--block-->Familiarity with SOC2-style security practices</li><li><!--block-->Prior startup or founding engineer experience</li><li><!--block-->Strong product sense and the ability to simplify complex workflows</li></ul>",
  "key_responsibilities_header": "Your Impact as the Founding Applied AI Engineer",
  "skills_knowledge_expertise_header": "What You Bring"
}