User Success Manager

Posted 6 Days Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
140K-175K Annually
Entry level
Artificial Intelligence • Machine Learning • Other
The Role
Help users onboard, troubleshoot, and maximize Imbue’s AI products while building strong user relationships and communities. Create documentation, examples, workshops, and office hours; identify product patterns and user feedback; communicate insights to product and engineering; share customer stories; and develop scalable community support systems.
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 everyone deserves to own a personal team of AI agents. We believe in a future of open agents that you can modify to do exactly what you want. 

We’re building a suite of tools to make tech serve humans, and making it open source. 

Some first projects include

  • Studio: A custom digital HQ for building personalized software, apps, and tools
  • Bouncer: A social media feed filter that removes what you don't want to see and retrains your algorithm
  • Sculptor: An interface for programmers to run coding agents in parallel and stay in flow
  • mngr: A command-line tool for managing agents
  • Vet: A standalone tool that catches AI coding mistakes and reviews full PRs 
  • Offload: A tool that automatically distributes your tests to run in isolated sandboxes 
  • Latchkey: A command-line tool to integrate local agents with third-party APIs 
  • Darwinian Evolver: A near-universal optimizer for code and agents 

And we’re just getting started. If you’re excited about building a future with open agents, say hi! 

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.

Summary

We’re looking for a technical, people-oriented builder to help people get the most out of Imbue’s products, and help us build better products in return.

You’ll be one of the closest people at Imbue to our users. You’ll help them get started, understand what they’re trying to accomplish, troubleshoot problems alongside them, and discover where our products feel magical or fall short. You’ll bring what you learn directly back to product and engineering, helping shape what we build next.

You’ll also build the community around our products: creating spaces for people to learn from each other, share what they’re building, contribute ideas, and help shape the future of our products alongside us.

This isn’t a traditional community management role. It’s part technical problem-solving, part customer success, part community building, and part product discovery.

What you'll do

Your goal is simple: help people do cool things with our products, and make our products better because of them.

  • Work directly with users to get them set up, troubleshoot technical problems, and help them discover what they can do with our products.
  • Build deep relationships with our most engaged users and understand their goals, workflows, frustrations, and ideas.
  • Become an expert on our products and translate complicated technical concepts into useful, approachable guidance.
  • Create onboarding, documentation, examples, workshops, office hours, and other resources that help more people succeed.
  • Build and grow our user community, online and in person, and create reasons for people to learn, share, contribute, and come back.
  • Develop an unusually tight feedback loop between users and our product and engineering teams. Surface patterns, unexpected use cases, friction, and ideas that should influence what we build.
  • Find and tell great stories about what people are building with Imbue.
  • Build the systems and processes that allow us to support a much larger community as we grow.
About you
  • You’ve worked in technical community, developer relations, technical customer success, solutions engineering, or another technical, user-facing role.
  • You’re technical enough to dig into how a product works, reproduce problems, troubleshoot with users, and communicate effectively with engineers.
  • You love talking to users and have a knack for getting past what someone asks for to understand what they actually need.
  • You can explain complicated technical ideas simply and clearly.
  • You’re good at building genuine relationships and communities, not just driving “engagement.”
  • You instinctively turn repeated problems into better documentation, tooling, product experiences, or processes.
  • You have strong product intuition and can distinguish an interesting anecdote from a pattern worth acting on.
  • You’re comfortable with ambiguity and excited to build something before there’s a playbook for how to do it.
Compensation & Benefits

• Lunch provided daily (SF office)
• $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 hangouts
The base salary range for this role is $140,000–$175,000 per year.

Skills Required

  • Experience in technical community, developer relations, technical customer success, solutions engineering, or another technical user-facing role
  • Technical ability to understand products, reproduce problems, troubleshoot with users, and communicate with engineers
  • Ability to build relationships with users and understand their underlying needs
  • Ability to explain complicated technical ideas clearly and simply
  • Ability to build genuine communities
  • Ability to turn recurring problems into improved documentation, tooling, product experiences, or processes
  • Strong product intuition and ability to identify actionable patterns
  • Comfort working with ambiguity and building without an established playbook
Am I A Good Fit?
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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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