Come build the agent the world owns.

This is a funded, full-time US role to found and run the 🤫 Academy. You will build a deep, joyful curriculum for personal agentic AI design and development, and a team of experienced, hands-on-the-keyboard train-the-trainers who teach it. Our core technology backbone is Siri AI on-device and Google Cloud Private Cloud Compute (GCP PCC), and our design bible is our own essay, coding like bacteria: small, modular, yoink-able code anyone can learn from. The mission is simple and serious: superpowers, generally available. Knowledge, intelligence, and personal supercomputing should be as available as electricity, clean water, great food, and a safe home, for every American citizen first and for everyone who wants to learn. You will run the Academy as a franchise business model, so local product specialists and forward-deployed engineering training grow from the grass roots, and graduates earn real certifications by completing the tracks and shipping one genuinely useful working agent into an Agent One Circle of Trust.

We're building the revenue and marketing function from first principles, and you'll own it. As CRO you own two numbers - revenue and adoption - and the whole motion that drives them: pipeline, pilots, design partnerships, expansion, and the marketing engine that feeds them. You can walk into the largest enterprises and governments on earth, find the budget and the aligned decision-makers, and move. You can start a $250K design partnership in your sleep on the strength of a relationship, stand up $2.5M-$25M pilots, and grow strategic accounts toward $250M in annual revenue. You've done this where the money, the budget, and the decision-makers actually are.

We need a few rockstar full-stack engineers who refuse to pick a lane. You think in systems and data, you build AI into the core (not bolted on), and you sweat the user experience like it's the whole product - because it is. You'll build 🤫 Agent One end to end: the agent runtimes and tools, the data and consent layer (PCHP), the edge/on-device runtime, and the interfaces a six-year-old and a grandmother both find obvious. Small, modular, yoink-able code - bacterial by default, a eukaryotic backbone only where complexity truly demands it.

Phones are where 99.9999% of people spend their time, attention, and money - so the 🤫 Agent One app has to be the best app on the phone, full stop. We need world-class iOS and Android engineers who sweat cold-start time, 120Hz smoothness, battery, offline-first sync, and accessibility, and who make 'just talk to me' feel magical on a $200 phone and a $1,500 one alike.

The next way people live with their agent is hands-free: on glasses, on the watch, in the headset. We need the best of the best who genuinely understand visionOS and the Meta glasses and Quest SDKs, and can build experiences that feel inevitable - an Agent One that sees what you see (by consent), speaks quietly in your ear, and acts, with the human always in control.

We're hiring a whole team of Forward-Deployed Engineers - the people who sit with the customer and make 🤫 Agent One real in their world. You'll deploy Agent One and Puppy One on the customer's terms (on their hardware, inside their boundary), wire it to the systems they already run, and turn a pilot into a result they can feel. Half product engineer, half trusted advisor: you write the integration, you sweat the demo, and you carry what you learn back to the core product. This is the tip of the spear for landing the largest enterprises and governments.

We need a few hardcore AI/ML researcher-engineers who build great AI systems, data systems, and systems in general - and who are driven by real curiosity. You'll work in the 🤫 R&D Lab for Humans & Machines (with our launch university partners) on the hard problems: the Personal Knowledge Model and portable Personal World Model, on-device and edge intelligence, retrieval and memory, evaluation, and the consent-native architecture that makes a personal agent trustworthy. Research that ships - legible, reproducible, and aligned to a real product the world owns.