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, 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.
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:
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.
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.
This role is perfect for someone who
Your time focus will flex with customer onboarding cycles.
Areas of responsibility
Hybrid, in Tulsa. Due to the nature of this role, working in person with your team and your customers is critical to success.
~ 75% in-office. Relocation supported.
~ 25% travel to customer sites. Concentrated around discovery sprints and releases.
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.
This is a chance to:
You won’t just contribute to value. You’ll create it.
No cover letter. Just better questions.
Please apply with:
We read every application carefully. Concrete examples > buzzwords.
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.
Our full-stack venture team and proven playbook deliver products and startups that actually succeed.
Gitwit's venture studio actively finds problems worth solving and invests the first $500k - $2M to build new companies. Alongside in-house ventures, we create joint ventures and co-found new companies with corporate partners, combining our proven venture creation processes with deep domain knowledge.
On the services side, entrepreneurs and companies looking to innovate hire us to find opportunities, rapidly build, and launch products that reinvent internal workflows or create new experiences for customers.
