## 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 someone to own our data infrastructure: the pipelines that carry every repair from the service bay to ground truth, across every dealership we add. The data is there; you build the system it runs on. ## 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 the pipelines that ingest voice, video and dealership data from every repair and turn it into structured, queryable ground truth.
This is a hands-on role; what you build ships to production * Own the integrations with dealership management systems, so data flows reliably in both directions as we add rooftops * Design storage for large volumes of audio and video, with the metadata, versioning and access controls that make it usable for training and evals * Build the monitoring and data quality checks that tell us something broke before a dealer does * Scale the platform from 80+ dealerships to 1000 rooftops without it falling over ## You can be a great fit if * You've built and run data pipelines or platforms in production, not just prototypes * You're comfortable with messy real-world data: large audio and video files, inconsistent dealership records, systems that were never built to talk to each other * You're strong in Python and SQL, and have worked with Postgres, object storage and cloud infrastructure * You move fast and don't overthink * You care whether the system holds up when every service bay is busy, not just in staging * You want to be at a company that's early enough that your work actually matters ## Compensation * **This role includes:** * 160K - 200K 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: a short system design exercise on how repair data flows from the service bay into our platform 3. Offer
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