Cognition Logo

Cognition

Deployed Engineer

Reposted 19 Days Ago
In-Office
Austin, TX, USA
Mid level
In-Office
Austin, TX, USA
Mid level
Deployed Engineers at Cognition engage with customers to enhance Devin's value, leading deployment and adoption while providing ongoing technical support and training.
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.

Our team is extremely 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, Palantir, 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

At Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin/Windsurf.

You’ll work directly with engineers to understand their workflows, identify high-impact use cases, and deploy Devin/Windsurf into real production environments. You’ll lead demos and pilots, support integrations, and drive adoption of the Cognition platform from the inside out.

This role combines hands-on technical work, customer partnership, and rapid execution. You'll serve a broad range of clients, switching context frequently and staying ahead of issues before they become blockers. You're expected to be proactive, make judgment calls, and take ownership of outcomes.

In this role, you will:

  • Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using Devin

  • Work closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributor

  • Build deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilization

  • Build! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the team

  • Be the customer oracle! Exercise your product instincts to help set the roadmap

What We Value

  • Customer empathy — you care deeply about how engineers work and what helps them succeed

  • Ownership mindset — you take responsibility for results, not just tasks

  • Technical curiosity — you enjoy digging into unfamiliar systems and understanding how they really work

  • Bias toward execution — you move quickly from problem to solution

  • Grit — you’re comfortable operating in ambiguous, high-intensity environments

  • Exploratory rigor — You poke at edges, ask uncomfortable questions, and would rather find problems yourself than have them find you.

Requirements

  • Strong engineering foundation from a rigorous technical environment

  • Demonstrated track record of exceptional performance in whatever you've pursued, whether academic, athletic, professional, or entrepreneurial

  • Self-directed by default. You don't need a manager to tell you what to do next or how to prioritize.

  • Strong communication skills. You can hold your own with senior engineers and executives alike.

  • Have a high tolerance for ambiguity, intensity, and sustained effort when the problem demands it.

  • Willingness to travel 25–50%

You might excel if you…

  • Advanced in at least one modern programming language (e.g., Python, TypeScript)

  • Experience writing and debugging real software systems

  • Want to work directly with real users on high-impact technical problems

  • Learn quickly by being embedded in challenging, real-world environments

  • Have worked at an early-stage startup or in a role where you operated well beyond your job description

Equal Opportunity

Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Similar Jobs

9 Days Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
Mid level
Mid level
Artificial Intelligence • Machine Learning
Embed with life sciences customers to build and deploy production-grade AI/MLOps solutions on the Domino platform. Deliver end-to-end ML workflows, cloud and Kubernetes integrations, GPU workloads, monitoring, and reusable playbooks. Advise technical and business stakeholders, translate field feedback to product teams, and own customer engagements from onboarding through strategic scale.
Top Skills: Agent FrameworksAksAWSAzureBashDockerDominoEksGCPGenerative AiGkeGpuKubernetesMlopsPythonRSQL
10 Days Ago
Remote or Hybrid
2 Locations
167K-253K Annually
Expert/Leader
167K-253K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Embed with strategic enterprise customers to architect and implement complex cloud and web infrastructure migrations. Provide technical leadership on application and network security using Cloudflare Workers and Terraform, act as liaison to product and engineering teams, drive AI/LLM-enabled solutions, and remain a long-term trusted advisor for SASE and network security initiatives.
Top Skills: Cloudflare WorkersSaseSlackTerraformWorkers AiZero Trust
3 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
Computer Vision
Design and deploy physical AI and computer vision systems on factory production lines: specify cameras/lighting, integrate with PLCs and industrial networks, validate production performance, own customer technical relationships, and feed field insights back to product engineering.
Top Skills: Allen-BradleyCamerasComputer VisionEdsEthernet/IpGsdGsdmlImagingLightingMultimeterOpticsPlcsProfinetSiemens

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account