Founding Engineer ($150K–$250K + 0.5-2% equity) AI Systems for Offline Economy

About the job

This role is being recruited by CoffeeSpace on behalf of an anonymous company building AI-native systems for the offline economy, specifically targeting consumer packaged goods (CPG) like Pepsico, General Mills, and Unilever.

We’re identifying a small number of exceptional founding engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team.

Location: New York, New York, United States

Compensation: $150K–$250K base + 0.5-2% equity

Employment type: Full-time

Visa: Visa sponsorship not available

About the company

This company is focused on equipping the offline economy with foundational intelligence. They are starting with consumer packaged goods and aim to transform how physical brands operate across finance, sales, and operations.

The team is led by high pedigree founders who have been top math/science Olympiad competitors from MIT and have led engineering teams at companies like Nuro, Meta, and Glean. The company is backed by premier Silicon Valley investors and aims to leverage AI to reinvent the $4.5 trillion CPG offline economy.

About the role

As a Founding Engineer, you will be one of the first team members, playing a crucial role in shaping both the product and the company culture. You will work across the stack, from backend data infrastructure to customer-facing products, and will directly engage with customers to understand their business objectives.

What You’ll Do

• Build and deploy harness evaluation platforms to create fast feedback loops around product outcomes
• Develop foundational data infrastructure — both single and multi-tenant hosting models — at terabyte scale
• Own end-to-end delivery of production agents for marquee customers
• Design a reinforcing context layer that captures how companies operate internally
• Define the culture and operating bar for every company investment (across product and the team)

The Ideal Candidate

• 3+ years of experience in a generalist engineering role
• Comfortable working across the stack and in fast-moving, ambiguous environments
• Experience with Python, TypeScript, Next.js, GCP, and Terraform
• Strong communicator who can work directly with customers

Next steps

• 1. Apply via this LinkedIn job post
• 2. We’ll review and reach out if there’s a strong match
• 3. If aligned, we’ll introduce you directly to the team
• 4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission.

A quick note on authenticity

This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.