Sr. Product Engineer

Reposted 22 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
170K-350K Annually
Mid level
Artificial Intelligence • Machine Learning • Other
The Role
The role involves shaping product direction, building across the stack, conducting user interviews, and collaborating with design teams to implement features.
Summary Generated by Built In
About us
Our flagship product, Sculptor, gives engineers the power to run and coordinate multiple coding agents in parallel, helping them move faster, and stay in flow. At its core, Sculptor is about giving developers more power to make software creation faster, safer, and more reliable.

More broadly, Imbue's mission is to make "open" AI agents win over closed agents. To do that, we’re starting with coding agents, since they both make it easier to construct future agents, and we can use them ourselves. We intend to make Sculptor's source code available to both serve as an example of how to create open agents, and provide a tool that makes it easier for others to create open software. The insights we gain from building Sculptor help us understand the interaction design and infrastructure necessary for creating open agents, and improve the capabilities of the underlying models. 

Ultimately, we aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.

Summary
In this role, you’ll have the opportunity to shape our flagship product and help reimagine the future of engineering. As an early team member, you'll have real influence on product direction and directly build the features you want to use in a product you are using every day. We are looking for individuals who are both great engineers, and have good product intuition; someone who understands what actually matters and then makes that happen.

What you'll do
Build, ship, and refine innovative new features for Sculptor like the ability to “fork” an agent and agents for generating “suggestions”
Talk to users on our Discord server, deeply understand them, and translate their needs into feature ideas
Own projects end-to-end, from idea to deployment, and collaborate with founders on product strategy and roadmap decisions
Help shape the culture of a company that cares deeply about engineering best practices (since that’s kind of our whole product)
Work closely with our applied research team to create state-of-the-art coding agent systems

You are
• 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 

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–$350,000.

How to apply:
All submissions are reiewed 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).

Learn more about our full interview process here.

Top Skills

Python
React
Typescript
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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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