Founding Engineer

We encourage you to read more about how we operate in our handbook.
About Imagine AI
Our mission is to model B2B growth and build products that accelerate it.
Imagine AI is a research and software company modeling modern B2B growth, starting with LinkedIn. We see the hidden structure underneath that growth, and we're building the infrastructure to map, measure, and engineer those relationships at scale (network graphs, homophily, and attribution).

We serve over 40 high growth B2B companies from Series A to IPO’d, including MongoDB, Rippling, and Corgi Insurance. We started in June 2025 and was part of the Y Combinator’s F25 cohort. Our co-founders are Neo and Sky.

Tech stack

Language: Typescript

Framework and services: Nextjs, Supabase (Postgres), trigger.dev, Mastra, Vercel, Neo4j, Stripe

What your day will look like

You will be one of our first few hires at Imagine AI, which means you will have a huge responsibility and impact in our business.

You will own a large surface of our core product and features. Some work includes expanding our agent’s capabilities to multi-platforms, iterating on onboarding and activation experience, agent harness, and building data infrastructure for internal research and publication.

You will be joining customer calls from time to time, talk to them directly, and translate what you learn into what ships next. If you are excited about owning a feature from a customer conversation all the way to the revenue curve, come work with us!

Hard requirements

• 3+ years of experience
• You must have shipped third-party integrations in production and dealt with the moving parts: OAuth, webhooks, rate limits, partial failure, and retry
• You must have owned a feature end to end in a modern web stack (Nextjs or similar)
• You must be proficient in TypeScript

Soft requirements

• You must love talking to customers and translating their feedback to product updates
• You must write clean and maintainable code
• You must have great judgment for right-sized architecture: you build on our existing stack and change it incrementally when there is real blocker

Compensation
Read more at the compensation section in our handbook.