The Role
Build across the full stack to create and iterate on AI agent products. Conduct user interviews, prototype features, ship frontend and backend code, collaborate with design, and help define product roadmap and direction for a 0-1 product.
Summary Generated by Built In
About Us Summary Example Projects You Are Compensation and Benefits How to Apply
Imbue is a radically different AI company.
We believe that data should belong to you, humans should come before technology, and that everyone deserves to have their own personal team of AI agents. We’re building tools for you to create open agents—AI agents that you can modify to do exactly what you want.
Our first product is Sculptor, an interface for programmers to run coding agents in parallel and stay in flow. We're working to make Sculptor better and easier to use every day, with the hope of eventually making products that allow anyone to create custom agents and software (not just programmers).
We’re supported by investors like Nvidia, Simon Last (co-founder of Notion), and Eric Schmidt (former CEO of Google), with $200M raised at over $1B valuation.
If you’re excited about reimagining the future of personal computing and creating the future of AI agents, say hi!
In this role, you’ll have the unique opportunity to shape our product and help build 0-1 — not just the technologies that we use, but the overall direction of our product as it evolves. You will be responsible for building across our entire stack, understanding customer needs, and contributing to our product roadmap.
This role is a particularly good fit for anyone who either has previously been, or would like to be, a founder of a software product company. We are looking primarily for good product intuition and judgment — someone who understands what actually matters and then makes that happen.
• Conduct user interviews and ask insightful questions while shadowing current or potential users• Implement rough prototypes for potential product ideas or iterations
• Collect, parse, and ideate on feedback generated from both internal and external users
• Quickly assemble code abstractions to enable fast iteration, and exercise judgment to delete code that doesn’t contribute as strongly to product fit
• Ship backend and frontend code against various interfaces (web, CLI, IDE, etc.)
• Collaborate with our product design team to transform promising ideas into new product features
• A builder at heart
• Motivated by solving real problems for real customers
• Energized by understanding and talking to users
• Someone that loves to sweat the details
• Able to navigate ambiguity and work independently without explicit directions
• Either experienced or interested in being a founder of a software product company
• Experienced with React/Typescript and Python
• Competitive compensation, equity, and benefits
• Lunch provided daily to onsite employees
• $250 lifestyle stipend per month
• Generous budget for self-improvement: coaching, courses, conferences, etc
• Actively co-create and participate in a positive, intentional team culture
• Spend time learning, reading papers, and deeply understanding prior work.
• Frequent team events, dinners, off-sites, and hanging out.
• Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000–$350,000 cash (plus equity).
All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.
Top Skills
Python
React
Typescript
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The Company
What We Do
We build AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. On top of our models, we prototype agents to accelerate our own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents. We aim to rekindle the dream of the *personal* computer—for computers to be truly intelligent tools that empower us, giving us freedom, dignity, and agency to do the things we love.
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