Mechro Founding AI Product Engineer

Mechro Founding AI Product Engineer

Department: Gitwit

Employment Type: Full Time

Location: Tulsa, OK

Compensation: $165,000 - $190,000 / year

Build the AI Troubleshooting Engine That Powers the Future of Heavy Machinery.

We’re not hiring just another engineer.

We’re hiring the founding engineer who will bring Mechro’s AI troubleshooting platform to life. 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.

Mechro 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.

This role is for the engineer who wants to build something that actually gets used on job sites, in service bays, and in the hands of technicians diagnosing real machines every day.

Every machine manufacturer is dealing with the same pain:

• Support lines overwhelmed with repetitive questions
• Tribal knowledge disappearing as senior techs retire
• Field intelligence scattered across notebooks, calls, and emails
• Manuals that can’t keep up with the real world

Mechro changes that.

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.

Every interaction makes the next one better.

Every fix makes the manufacturer smarter.

This is the future of support for heavy machinery, and you’ll be the one building it.

You will be the technical cornerstone of Mechro. You’ll own the early architecture, ship production-ready features, integrate with real customer data, and make the call on what gets built and why.

This role is perfect for someone who:

• Thrives in zero-to-one environments
• Ships fast and cares deeply about product usefulness
• Wants to build with real users and see immediate impact
• Enjoys owning AI systems end-to-end
• Likes wearing multiple hats and setting the tone for future engineers

• Lead full-stack development using React + Type Script, Node/NestJS, and Postgres/MongoDB
• Build the AI layer LLM integrations, retrieval, embeddings, evaluation loops
• Stabilize and scale the MVP into a production-ready troubleshooting assistant
• Run technical customer integrations
  , including scoping, implementation calls, and occasional on-site visits
• Implement reliability systems monitoring, alerting, runbooks, incident response
• Establish early engineering culture
  , onboarding docs, architecture patterns, and delivery cadence
• Translate user problems into product decisions that shape the roadmap

• 5+ years full-stack engineering experience with shipped, user-facing products
• Strong experience with React + Type Script, Node/NestJS, and SQL/No
  
  SQL databases
• Practical experience integrating LLMs/AI APIs into real applications
• Zero-to-one ownership stories that show grit, ambiguity navigation, and user impact
• Experience running B2B/enterprise customer integrations
• Comfort balancing speed with reliability in early-stage systems
• Excellent written and verbal communication
• Willingness to work hybrid in Tulsa (~80% in-office); relocation supported; exceptional remote candidates considered

• Experience with RAG systems, vector databases, or ML evaluation pipelines
• Familiarity with SOC2-style security practices
• Prior startup or founding engineer experience
• Strong product sense and the ability to simplify complex workflows

• Base Salary: $165,000–$190,000
• Founder-level equity
• Relocation support
• Excellent health, vision, and dental
• 401(k) with match
• Generous PTO
• Cell reimbursement, parking stipend
• Weekly team lunches
• Dog-friendly office
• Flexible, high-autonomy culture

Machine manufacturers who move first will own the intelligence layer of their industry. The knowledge base you build, the one…