TL;DR: We're building an AI mentor that knows you deeply and pushes you to grow. Not a chatbot. Not an assistant. A mentor that observes your life, understands who you are, and steps in when you need it - whether you ask or not. Just raised $6M pre-seed. Looking for 3 founding engineers to build this with us in SF.
Note: This job description was written by Claude Code, using our founders' WhatsApp conversations as context. We practice what we preach: building with AI.
An AI that builds a deep psychological profile of you and uses it to push you to grow. Not a chatbot. A mentor. One that watches how you spend your time, understands who you are, and steps in when you need it, whether you asked or not.
The hard technical problems aren't the ones you've seen before:
Psychological profiling from a digital footprint — how do you actually understand a person from their emails, calendar, messages, and behavior patterns? Not just extract facts. Understand them.
Memory that compounds — most AI products have terrible memory. Context windows are finite. Vector DB retrieval is mediocre. We believe file-based context engineering inspired by coding agents beats existing approaches for our use case and we're building to prove it.
Proactive, agentic behavior — a mentor that only responds when you ask isn't a mentor. Building AI that initiates, at the right moment, in the right way, is an unsolved product and engineering problem.
Morphing UI personalization — the same AI, completely different behavior and interface depending on who you are. Making that work at scale without it feeling inconsistent is genuinely hard.
We're not doing AI research. We're the applied team that takes what's emerging from labs and ships it as product before anyone else.
You'll own the entire iOS experience. Not just the UI layer, the whole thing.
Platform ownership:
The full iOS app in Swift, SwiftUI, and UIKit — every screen, every gesture, every transition
The morphing UI system — designing and building an interface architecture that can genuinely reshape itself based on user psychology
App Clips for frictionless onboarding — the first 60 seconds of Quest need to feel magical
Shortcuts and WidgetKit for ambient coaching — Quest should live where users already are, not just inside the app
iMessage extensions for lightweight check-ins without pulling someone out of their day
Animations, haptics, and platform feel — the small details that make something feel like it belongs on iOS
Full-stack ownership:
Backend work when it's needed. We're 5 people. No silos
LLM API integration — streaming responses, context management, prompt engineering
Early projects you'll actually work on:
Build the morphing layout engine that makes Quest's UI feel alive
Ship an App Clip onboarding that turns a curious tap into a profiled user in under 90 seconds
Design the architecture for ambient coaching — Shortcuts, Widgets, Watch complications working together
You'll be writing code from day one. You'll also be making architectural decisions that define how Quest feels for years.
Technically:
Deep native iOS experience — Swift, SwiftUI, UIKit. You've shipped production apps that real people use
Strong opinions about platform craft — you notice when haptics feel wrong, when animations don't follow physics, when an app fights the OS instead of working with it
Comfortable doing backend work — Python, REST APIs, LLM integrations. Not your primary thing, but not foreign either
Applied AI experience is a strong plus — Core ML, on-device inference, LLM API integration, streaming UI
You ship. Side projects, open source, anything. Show us
Personality:
Ambitious — You want to build a generational consumer company, not just a feature or a nice product. You're here because you believe Quest can be massive and you want to be part of making that happen
Creative — You think of things AI won't. You see connections and possibilities that models don't surface. In the age of AI, creativity is what separates great engineers from prompt operators
Opinionated — You have strong views on what good code looks like, what good product feels like. We want your proactive recommendations, not just execution
Autonomous — You identify problems and fix them. You don't wait for instructions. After a first conversation, you're the kind of person who comes back with a prototype or a sharp question
Fast learner — You can absorb a huge amount of information quickly and think creatively around it. This space moves fast; you move faster
Product-minded — You understand why technical decisions matter to users. Every architecture choice flows from a product idea
Seniority:
We don't care about years or titles. If you're 3 years in and you've built something genuinely impressive , we want you. If you've led iOS engineering at a Series B, we want you. Show us what you've built.
Build something people actually use and love (not just abstract acclaim)
Work with two repeat founders who shipped some of Google's first AI agents and sold their first company to Google
Be in SF with the team - 4 days/week in-person (we need same timezone, same room for rapid iteration)
High equity + competitive salary - we believe in a small team that scales
Small, excellent team. Zero compromise on who we hire. We'd rather take 6 months to find the right person
You need a senior iOS team around you to do your best work
You want specialization and clear scope — we need someone who goes where the problem is
You want to be a UI layer engineer while someone else owns the architecture
You're not excited about AI or wouldn't build LLM integrations yourself
You're not excited about the actual product — an AI that pushes people to grow. You need to believe in this
You're remote-only (we need you in SF 4 days/week)
Vincent (CEO) - Led AI agent products at Google Labs. Shipped some of Google's first agents: Colab data science agent, Jules (async coding agent), Stitch (AI-first Figma competitor).
Thomas (CTO) - Led senior Android engineering teams at Google. Refactored Android connectivity stack, prototyped always-on AI wearables. Shipped Tempow tech to 10M+ devices.
We are repeat founders. We co-founded Tempow in 2016, sold to Google in 2021, moved Paris → SF. Worked together 9 years.
From Vincent & Thomas's actual working style:
We ship and iterate constantly. "Vibe eval" is real. We move fast
We're casual but serious - informal communication, sophisticated thinking
We own our architecture deeply.
We use AI to code but understand every line that's critical
We make decisions fast once we have conviction - no analysis paralysis
We want to build the best AI applied team
What excites us:
Seeing people actually use what we build and achieve their goals
Solving hard technical problems (memory, agent orchestration, morphing UI)
Building consumer products with taste
Shipping breakthroughs before anyone else
What frustrates us:
Overengineering without clear product need
Window shoppers who aren't committed
People without clear priorities or goals
Bureaucracy and process for process's sake (we left Google partly for this)
Applied Pioneers - First to adopt emerging AI research and ship it as product
Magic-First - Consumer products are only worth building if they feel magical
Ship and Try - Iterate by shipping code and playing with prototypes, not endless docs
Small Excellent Team - Zero compromise on hiring. Strong ICs who contribute everywhere
Location: In-person in San Francisco, 4 days a week at the office
Immigrant-friendly: Work remotely from Europe, Asia, Australia, or anywhere for up to a month per year. We gladly sponsor visas and green cards.
Parent-friendly: 3 months fully paid parental leave. Both founders disconnect daily from 5-7pm to be with their kids.
This isn't for everyone. We're building for people who want to grow, and we need people who want to build something that actually matters. If that's you, let's talk.
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