What you learn and build with Lucy is yours. The capability, the prompts, the workflows, the agents β they go with you to your next role, your next employer, and the next model generation.
Help build the company that helps people build with AI.
We are in design-partner development with real customers, a real product, and a real roadmap β pre-general-availability, post-prototype-stage. The people we hire now help shape what Lucy Labs becomes.
European-founded, Madrid-based, with a dual US (Delaware C-Corp parent) / Spain (operating subsidiary) structure. GDPR-native and EU-sovereign by construction, not as a compliance overlay.
The team is small. The pace is high. The mission is universal: enable every person on Earth to leverage AI to solve problems and improve their daily life. See the founder story.
We are not pretending to be a mature enterprise suite. It is in our name. We are a lab. That means always discovering, learning, and growing.
We're building Lucy β the architectural layer between AI capability and useful human value, the desktop AI coach that turns the people doing the work into the solution architects of their own work.
Lucy turns employees into solution architects by coaching the design discipline inside their real work β so the durable skills build underneath as a side effect of getting the work done.
The product
Lucy lives on your desktop as an app that is cloud-backed. She is read-only β she observes what you share, never writes to your systems. Context (role, goals, work patterns) is always collected; content is opt-out and configurable 0β7 days; sensitive data is filtered before retention.
Signal / Context / Content data pipeline. Behavior turns raw Signals (app names, timestamps, behavioral metadata β always collected with permission) into Context (semantic interpretation: what kind of work, where the friction is, what the user is trying to accomplish). Content (chat text, screenshots, OCR) is held locally by default; cloud transmission requires explicit user authorization.
The technical surface
Cloud-backed desktop application; vanilla web stack on the marketing side; Python + Tauri-style native shell on the product. Real-time observation of the Signal and Context layers without bleeding into Content. Cohort-size-gated aggregation for org-level visibility. Code-native diagrams everywhere a diagram is needed. Local-processing roadmap for data minimization. Refused-capability at the architecture level β what Lucy will not do is part of the contract, not a setting.
The GTM surface
Design-partner motion now. General-availability commercial motion planned. Public sector EU + US (regulatory tailwind via EU AI Act + NIST AI RMF). Bottom-up scaling as moat.
We use what we build β Lucy Labs runs on Lucy. Every internal workflow, every coaching session, every agent we ship; if it doesn't work for us, it doesn't ship to anyone else.
Lucy Labs runs on Lucy. This is proof, not theory. The company is a system of agents running the operating model we sell.
Today, Travis and an agentic team compress the back-office work that would otherwise need a 5β10-person team. The product, the platform code, the marketing content, and the legal/compliance scaffolding were built by one person + AI in months.
The point isn't that Lucy Labs has solved company-building with AI; the point is that the scaffolding, framework, and operating discipline already exist, and every new hire ramps into a system that amplifies their work instead of slowing it down.
The cultural fits (direct communication, specific over abstract, bias toward shipping, comfort with truth over comfort, humanistic thinking, "we use what we build" instinct) are detailed in the open-roles section below. The full Principles + Values + Guardrails taxonomy lives on how we operate.
The same trust posture Lucy ships to customers is the trust posture inside the company. No surveillance of customers, teammates, or ourselves. No compromising principles for revenue. No selling Lucy where the architecture refuses what the customer expects. See the refusal scene.
What you build at Lucy Labs is yours. The skills, the prompts, the workflows, the agents β they stay with you when you leave, and they compound across the next decade of AI.
What you build is yours, and it leaves with you. The skills, prompts, workflows, and agents you build with Lucy survive role changes, employer changes, and the next model generation.
Universal AI skills compound across products, providers, and model generations β the patterns you learn this year still work next year, getting sharper, not obsolete.
GP-001 applies to the team, not just the customer. The work you do here augments your career; the company is structurally committed to the same posture for its own people that it commits to for customers. Career portability is structural β capability stays with the human who built it (GP-003). See what we believe about people for the longer treatment.
Lucy Labs is in design-partner development β we are a lab, and that means always discovering, learning, and growing. The people we hire now help shape what Lucy Labs becomes.
Real product, real customers, real roadmap. Pre-GA. Post-prototype. The product, the trust architecture, and the coaching loop are available. Some surfaces and controls are planned. Specific certifications (SOC 2 Type II, ISO 27001, ENS HIGH) and the manager-side admin surface are planned for GA. The labels are honest; the roadmap is real.
See the trust architecture for the full stage-honest item list.
What "design-partner stage" means for a candidate
It means the work you do shapes the company that emerges, not the work you do operates a company that already exists. It means the operating motion changes month over month as we learn. It means decisions you make at this stage compound β your fingerprints are on the architecture for years. It means the comp / equity / time mix is shaped by the stage; we are transparent about that in the conversation.
What we are NOT yet
We are not at general availability. We are not a multi-tenant enterprise platform. We are not a Series-stage company with a fully-staffed function for every problem; the people we hire now are people who can build the function as they do the work. The honest signal about stage is part of the candidate-honesty contract.
Open roles, how to apply, and what to expect from the conversation.
We hire for slots, not for ladders. The roles below are the slots open right now β what we'll need someone to do, the level of context required, the kind of person we think will succeed in the role.
| Function | Slot | Why it's open | What we look for |
|---|---|---|---|
| Engineering | Build the product surface | Build the product surface that makes the architecture believable. | Strong systems thinking; comfort with the boundary between desktop + cloud; experience with AI integration is a plus, not a requirement. |
| Design | Brand-tone-appropriate visual language | Make the brand-tone-appropriate visual language for an AI coaching surface. | Editorial / typographic instinct over decorative-illustration instinct; comfort with the brand-voice rules. |
| GTM | Run the design-partner motion | Run the design-partner motion alongside the founder. | Past experience in customer-success, design-partner-stage GTM, or transformation programs; bias toward shipping over slide-decks. |
| Operations | Keep the lab running cleanly | Keep the lab running cleanly as the team scales. | Comfort building functions that don't yet exist; trust-architecture instinct (no surveillance, no compromise). |
What we look for β cultural fits
- Direct communication. Specific over abstract. Comfort with truth over comfort.
- Bias toward shipping. Comfort with non-final answers as you ship them.
- Coach posture for customers and for teammates β we coach, we don't act on people's behalf.
- Humanistic thinking β the person in the work is the point.
- "We use what we build" instinct β if you wouldn't use it, don't ship it.
What we don't look for β cultural unfits (politely)
- Surveillance posture, dashboard-fixation, or measurement-of-people-rather-than-systems instincts.
- "Move fast and break things" without the "fix what we broke" follow-up.
- Hype-laden communication style ("transform," "synergize," "leverage" as filler).
- Comfort hiding behind process instead of taking decisions.
What to expect from the conversation
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01A first conversation with the founder or a senior team member (45 minutes; conversational, not stagecraft).
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02A working session on a problem from the actual operating context (90 minutes; we look at how you think and how you ship).
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03A reference / verification round (we talk to people who've worked with you).
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04An offer or a clean no.