Product Engineer
Cognition is hiring a Product Engineer in San Francisco, United States. Level rates it ; you can apply on Cognition.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Cursor, Devin and AI agents among its tools and skills.
- Cognition has 104 other open roles on Level.
AI in this role
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.
Role Mission
AI coding is a more mature and competitive market than it was two years ago. User expectations have risen sharply: developers now expect first-minute magic, polished experiences, and a consistently high quality bar across every surface they touch. Meeting that bar across an IDE, a web product, and a CLI requires engineers who can own the full experience, not just the implementation.
This role exists for engineers who build with taste. You'll make product decisions, push through technical walls, and ship experiences that developers love, without waiting for a PM or designer to define the problem for you. The best product engineers at frontier AI companies are the ones who feel the gap between what exists and what should exist, and then close it. That's what we're looking for.
What You'll Accomplish
Ship Product and Talk to Users: Own features end to end, from the first line of code to the conversation with the developer who uses it. User feedback directly shapes what you build next.
Build Performant and Beautiful Experiences: Craft interfaces across our IDE, web, and CLI surfaces that feel fast, focused, and effortless. Quality is not a final pass; it's built into how you work.
Set the Standard for Agent UX: Define interaction patterns for how developers work alongside AI agents. This is new territory with no established playbook. You'll create the conventions that others will follow.
Build the Agent and Agent Harness: Work directly on Devin and the core agent infrastructure that powers it. This means building the agent loop, tool use, and the harness that lets Devin operate reliably across real-world tasks.
Punch Through Technical Walls: The best developer experiences often require solving hard engineering problems. You won't hand those off; you'll solve them.
Move Fast Across Surfaces: Ship across our IDE, web, and CLI products. Context-switch quickly and maintain a high quality bar across all of them simultaneously.
Exceptional Candidates Have Demonstrated
Full-stack engineering depth: Strong engineering skills with a natural instinct for product quality; you notice when something is off and you fix it.
Developer empathy: Genuine understanding of developer workflows, frustrations, and what delightful tooling actually feels like.
Python, TypeScript, and React proficiency: Experience with all three in complex, production-grade products.
Independent product judgment: The ability to make sound product decisions without needing extensive process or sign-off.
UX and Design Obsession: You sweat the details others overlook: micro-interactions, transitions, response times, empty states, because you know that magical product experiences are built from hundreds of small decisions done right.
Developer tools experience: Experience building developer tools, IDEs, or technical products where the user is an engineer is a strong plus.
Relevant industry experience: Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category.
Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program.
Our Commitment
Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any 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. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.
Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement.
How we rate this
Product Engineer at Cognition rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Devin that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, Cursor, and Devin. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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