Data Infrastructure Engineer

## 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