Burnt
Burnt
Founding Engineer
Full-time
On-site
$160K - $225K
About this role

In the next 2–3 months, our founding engineers will take Burnt from a wedge product into full enterprise deployments, scaling from pilots to tens of millions of dollars in automated orders every month. To do this, we need fast-moving, obsessive, high-caliber builders.


You’ll rapidly ship high-quality code and own end-to-end projects that are both technically demanding and strategically critical: LLM orchestration pipelines, real-time integrations into legacy ERPs, intelligent workflow automation, and user-facing tools that distributors rely on every day. It’s optional but encouraged that you sit with customers→inside warehouses, offices, and factories - to build empathy for the people whose lives your code will transform.


Why does this matter? The global food supply chain moves $9T+ of goods annually but is still stuck in manual workflows and boring ERPs built in the ’90s. These outdated systems have kept the industry trapped in a pre–dot com world, driving food waste, razor-thin margins, and higher costs for everyone who eats. It is one of the oldest and largest industries, yet completely overlooked by technologists.


As one of Burnt’s first engineers, you’ll shape how AI rewires one of the world’s largest and most overlooked industries. Your work will eliminate waste, free businesses from legacy costs, and make food more affordable and accessible worldwide. And you’ll be one of the few, non-fungible builders essential to our 0 → 1—and who will play defining roles in our 1 → ∞.

of professional experience, with a core of their professional career spent in a hypergrowth startup phase (Seed to Series B).
Salary
$160K - $225K
Equity
1.00%-2.00%
Visa sponsorship not available
On-site work policy
This is an on-site role in San Francisco, CA, in the office at 555 Bryant Street, close to South Park.
Full-time position
Location
San Francisco, CA
Tech stack
Python, Pandas, NumPy, Scikit-learn, HTML, CSS, JavaScript, React.js, Next.js, WebSockets, SQL, AWS, GCP, Azure, LangChain, LlamaIndex
About Burnt

Burnt is building the AI Watchtower for global supply chains. We're starting with the most brittle and important supply chain → the global food supply chain that bring food from farm to table for you. We’ve already gone from idea → product, onboarded early customers, and are automating $10M+ in monthly orders without humans in the loop - saving businesses millions in payroll and boosting net profit by up to 20% within weeks of going live.


On the back of this traction, we’ve raised $3.8M from top investors (Penny Jar, Scribble Ventures) and are now building our founding team. We’re hiring elite, competitive builders to help us expand from our wedge in food distribution into full enterprise deployments across the broader food supply chain vertical - from freight to manufacturing to distribution.


We’re helping our customers leapfrog from the 90's into the era of AI. Our agents don’t sit on top of clunky ERPs like SAP or NetSuite - they proactively help run the business. What Salesforce did for CRM, we’re doing for the entire supply chain stack. The global food supply chain alone is a $10 trillion + market and for us, this vertical is just the start.

Team size

3 employees

Founded

2023

LinkedIn

Visit

Total funding

$3.8 M

Company locations

San Francisco, CA
Burnt company image - 1
The team
About the team
  • Small, tight-knit founding team with deep expertise in both supply chain and AI, working side-by-side in San Francisco.

  • Intense, collaborative culture that values accountability, high standards, and a sports team mentality over “family” dynamics.

  • Hands-on environment where you’ll build from scratch, work directly with customers, and solve real-world problems in legacy industries.

  • A place for curious, driven builders who want to push themselves, make a massive impact early, and eventually grow into future founders.

Tech stack
Python, Pandas, NumPy, Scikit-learn, HTML, CSS, JavaScript, React.js, Next.js, WebSockets, SQL, AWS, GCP, Azure, LangChain, LlamaIndex