Forward Deployed Engineer - US

present of AI; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cognition is seeking a customer-facing engineer to showcase Devin, an autonomous software engineering agent, to customer teams in San Francisco. You will run live demos and pilots, translate complex technical details for executives, and travel to client sites to validate production deployments.

The role requires strong coding in Python or TypeScript, ability to communicate clearly across engineering and executive audiences, and comfort working with ambiguity in a fast-evolving AI product

Qualifications

• Strong coding in Python and TypeScript.
• Ability to run demos and pilots.
• Judgment to work without close direction.

Responsibilities

• Present Devin capabilities to customer engineers and executives.
• Lead technical demos or pilots with clients.
• Collaborate with customers to deploy Devin in real production setups.

Skills

Python coding

TypeScript coding

Communication

Travel willingness

Job description

Customer & Solutions · San Francisco · FullTime

This role puts an engineer in front of customers to get Devin working inside real production setups. It asks for strong coding in a language like Python or TypeScript, the ability to run demos and pilots, and the judgment to work without close direction. A strong candidate pairs solid engineering with clear communication to both engineers and executives, and is ready to travel a fair amount.

How it fits the AI era

Devin is itself an AI agent that handles software tasks, so the work centers on helping teams hand real engineering tasks to an agent and trust the results. The technical side shifts toward picking good use cases, setting up integrations, and spotting where the agent falls short. What stays human is earning trust with customer engineers, reading how they really work, and deciding what to fix first.

How it builds AI experience

Daily exposure to an autonomous coding agent across many different customer codebases would build practical knowledge of where agents help and where they struggle. Someone preparing could use AI coding tools on real projects, note what worked and what failed, and practice explaining those lessons to other engineers. Customer feedback also reaches the product team, so there is a chance to shape how the agent improves.

Worth showing

• Python or TypeScript projects
• Leading technical demos or pilots
• Explaining tech to executives
• Working through ambiguity independently

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Cognition

Applied AI lab building Devin, an autonomous software engineering agent that plans, writes, debugs, and deploys code