About this role
Overview
Self-driving companies record every mile a car drives. Nobody records how it gets fixed. Repair expertise lives in technicians' heads: undocumented, unstructured, and disappearing as their shortage grows.
Bayworks captures voice and video data as technicians repair cars and verifies the work. Every repair becomes ground truth for how cars get fixed: symptom, diagnosis, fix, outcome. This compounds into a system that runs the dealership's operations and standardizes every repair, making it faster and compliant with manufacturer specifications.
Why now
In 110 days, we've gone from 0 to 80+ dealerships covering 4,000 cars a day, including a top-50 US dealer group ($3B+ annual revenue) and have hit $XMn ARR. We know what's working.
Now we need to get to 1000 rooftops / $10M ARR. To get there we need a founding engineer to build the product with us: from the wearables technicians use in the bay to the agents that run the dealership. The data is there; you build what runs on it.
World-class team
We're engineers from BITS Pilani.
* **Kaustubh (Founder & CEO)** built voice AI at Sarvam (India's frontier AI lab) deployed across government and public enterprises, and before that worked in automotive retail lending with carmakers.
* **Shubham (Founder & CTO)** built the underwriting engine at Navi, a $2B fintech, powering $10M+ in loans every day, and the mobile app at Scapia, which scaled to millions of users.
Investors
Backed by Y Combinator (F26)
What you'll work on
* Build Bayworks end to end: the wearables technicians use in the service bay, the voice and video AI behind it, and the backend that ties it together. This is a hands-on role; what you build ships to production
* Build the AI agents that run the dealership's operations from every repair we capture
* Own the integrations with dealership management systems, so every rooftop we add goes live fast
* Make capture on wearables hands-free and reliable in a loud, busy service bay
* Set the engineering bar and help hire the team that follows
You can be a great fit if
* You've shipped products end to end in production, across devices, backend and AI
* You're comfortable with messy real-world problems: noisy shop-floor audio, legacy dealership systems, users who have no time for software
* You've built with LLMs, speech models or agents, and know how to make them reliable in production
* You move fast and don't overthink
* You care whether the product works in the service bay, not just in a demo
* You want to be at a company that's early enough that your work actually matters
Compensation
* **This role includes:**
* 160K - 210K base salary
* Meaningful equity
* Medical, dental, and vision insurance
* Free DoorDash vouchers for everyday meals
About the interview
1. 30 mins with the founders
2. Assignment: build a small working feature end to end on a real repair problem
3. Offer