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Cognition

Special Projects Engineer

Reposted 6 Days Ago
In-Office
7 Locations
Mid level
In-Office
7 Locations
Mid level
As a GTM Engineer, you will manage the customer lifecycle, address technical challenges, and build relationships for product success with Devin.
The summary above was generated by AI
We are an applied AI lab building end-to-end software agents.

We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.

Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

About the Role

Equal parts Engineering, Product, and GTM – perfect for a former founder or aspiring one. You’ll translate real-world pain into product improvements, hands-on implementations, and measurable impact, by whatever means necessary.

Core Responsibilities:

  • Owning end-to-end implementations with our most strategic customers.

  • Understanding customer pain points deeply and translating them into solutions and product improvements.

  • Being a force multiplier by building internal tools and processes that improve the operational efficiency of GTM and EPD.

What We Value:

  • Founder mindset. Thrives in ambiguity, takes ownership end-to-end, and focuses on solving real problems—not just shipping code.

  • High agency and initiative. Comfortable making decisions independently and moving projects forward with minimal oversight.

  • Willingness and interest to travel as needed to client sites. Ability to travel up to 25%.

What We Require:

  • Strong engineering foundation (e.g., Computer Science, Mathematics, or related technical discipline).

  • 2+ years of experience or equivalent startup/founder exposure.

Top Skills

AI
Software Engineering

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