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Cognition

Engagement Manager

Reposted 4 Days Ago
In-Office
7 Locations
Mid level
In-Office
7 Locations
Mid level
The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.
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 through real-world tasks, apply to join us.

About the Role

At Cognition, customers are our highest priority. Engagement Managers (EMs) are technically oriented strategic operators who drive deep adoption and success across our most important enterprise accounts. You’ll be responsible for growing consumption within strategic customers by ensuring they achieve exceptional outcomes with Devin.

Cognition works with the leading AI researchers and Enterprises at the forefront of driving value from agents. Our customers are driving enterprise AI transformation around Devin. You’ll act as a trusted advisor to senior leaders, designing and executing engagement plans that unlock organic, scalable growth and transformative enterprise value. In this role, you’ll build centers of excellence within accounts and set up enablement programs that empower thousands of engineers to accelerate usage. You’ll turn early wins into long-term, enterprise-wide impact. You will also pioneer the playbook for how the world’s largest enterprises get value from AI Agents.

You’ll thrive in this role if you’ve worked closely with technical organizations before—whether through consulting, customer success, solutions engineering, or technical program management—and if you’re motivated by high ownership and fast execution.

In this role, you will:

  • Drive consumption within our largest accounts by identifying new opportunities for Devin to contribute to their engineering goals

  • Oversee onboarding and rollout to thousands of engineers, ensuring successful deployment

  • Apply world class analytical and technical program management skills to support customer executives and teams, particularly with value realization and tracking

  • Build centers of excellence within accounts and empower them through tailored enablement programs

  • Own the rollout and adoption of new features and capabilities within your accounts

  • Create effective feedback loops between customers, product, and engineering

  • Identify technical risks, dependencies, and constraints early; develop mitigation strategies and contingency plans in partnership with Deployed Engineers

Requirements for the role:

  • Degree in a STEM field

  • Proven track record in strategic, enterprise-facing roles and building and expanding client relationships

  • Strong technical acumen and ability to build deep relationships with both technical leadership and end users

  • Structured, analytics-driven problem solver

  • Thrive in ambiguous, fast-changing environments—you move quickly and grow quickly

  • Demonstrated ability to learn exceptionally fast

You might excel if you…

  • have successfully been a part of complex enterprise teams, especially sourcing and managing account growth

  • have worked as a software engineer, SE, technical account manager or other technical role

  • previously founded a startup or were early stage at a high growth startup

  • are a competitive, highly ambitious person who loves working in high-intensity environments

Top Skills

Artificial Intelligence
Software Engineering

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