Founding Product Manager

Posted 14 Days Ago
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San Francisco, CA
Hybrid
170K-250K Annually
Senior level
Artificial Intelligence • Machine Learning • Other
The Role
As a Founding Product Manager at Imbue, you will drive product strategy, design coding workflows, and advocate for user needs while collaborating with engineers and founders to enhance Sculptor.
Summary Generated by Built In
About us
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!

About the role
Help us build the ultimate coding agent platform for developers. 

If you're an ex-engineer who became a PM in order to work at a higher level of abstraction, this is the job for you. You will get to  design your own coding agent workflows and re-imagine how developers create software.

You will be our users’ biggest fan—the driving force behind making Sculptor indispensable to them. You will discover how people use the product, pinpointing exactly where they hit friction, and find ways to make Sculptor feel magical. 

You will talk to users, become a power user yourself, and partner closely with our founders, engineers, and designers to shape features that move the needle. 

We’re not just building a platform for running coding agents, we’re building to unlock the power of open agents for everyone. If this excites you, say hello!

What you'll do
Use Sculptor to design your ideal coding workflows, and drive users to do the same 
Drive Sculptor’s product strategy and roadmap decisions with the founders
Partner with Engineering to design high-leverage solution features 
Be deeply integrated with Sculptor users, champion their needs and pain points internally

You are
A former Engineer, ideally a full-stack developer who has previously built apps, APIs, LLM integrations and is familiar with Git, Git workflows, and DevContainer specs 
Excited to craft impactful product visions and actionable roadmaps 
Energized by working with users and representing their needs to internal teams
Excited to partner closely with Engineering and Marketing

Compensation and Benefits
• Competitive compensation and benefits
• Lunch provided daily
• $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
• 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 salary range for this role is $170,000–$250,000.

How to apply
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.

We try to reply either way within a week or two at most (usually much sooner).

Top Skills

AI
APIs
Devcontainer
Git
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The Company
HQ: San Francisco, CA
15 Employees
Year Founded: 2021

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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