Founding SDR

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