Help Build the Future of Autonomous Supply Chain Management
At Burnt, we’re building an AI-native operating system for the food supply chain—replacing legacy ERPs with intelligent agents that automate 80% of the work across sales, operations, credit control, and even ERP implementation. Distributors today are drowning in fragmented data, buried in email and WhatsApp orders, and losing millions to bad debt, frozen inventory, and failed SAP projects. Our agents automate order capture, follow up on overdue invoices, resolve SKU mismatches, and can even compress ERP go-lives from 2 years to 2 months. One of the hardest technical challenges we’re solving is the lack of unified context—food distributors' data is spread across disconnected systems, APIs, PDFs, and spreadsheets. We're building a "truth store" for each enterprise and a swarm of memory-augmented agents to act on it. As a founding engineer, you’ll work across LLM orchestration, retrieval-augmented generation, multi-agent planning, and real-time decision systems—powering the backend of a vertically integrated AI company that deeply understands supply chain workflows. Our stack includes Python, Java (Spring Boot), AWS (Lambda, Step Functions, RDS), Pinecone, and foundation models from OpenAI and Bedrock. If you’re excited to own architectural decisions, ship real-world AI products, and build systems that can change how the $10T+ supply chain industry operates, we’d love to talk.
Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks?
Burnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department.
Our AI Agent, Ozai, has started by replacing the whole order management job function at food distribution companies, so that sales and customer service teams can focus on what matters - the customer. Ozai monitors all incoming messages (emails, phone calls, voicemails, whatsapp, fax etc.), figures out if it's an order, learns each customer's habits, shorthand, and favorite products, picks up on any prep notes, and enters it straight into the existing ERP. It'll even go back to the customers on your behalf when it's not sure about something, clarify things and carry on working.
The more it sees, the smarter it gets.
Salary
$125,000 - $250,000
Equity
0.1% - 1.5%
Location
San Francisco, CA, US
Experience
3+ years
Total raised
$3.8M
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.