Founding Engineer
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Requirements
• 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 • Ambitious • 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 • Creative • Opinionated — You have strong views on what good code looks like, what good product feels like. We want your proactive recommendations, not just execution • Opinionated • 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 • Autonomous • Fast learner — You can absorb a huge amount of information quickly and think creatively around it. This space moves fast; you move faster • Fast learner • Product-minded — You understand why technical decisions matter to users. Every architecture choice flows from a product idea • Product-minded • Preferred: • Applied AI experience: agents, tool use, memory systems, evals, LLM orchestration • Consumer product background — you've built things for real people, not internal tools • iOS experience — even basic Swift/SwiftUI familiarity is useful on a native-first team • Side projects or personal apps that people actually use • You read AI papers not because you want to do research, but because you want to ship it first • Seniority • We don't care about years or titles. If you're 3 years in and you've built something exceptional, we want you. If you've been a staff engineer at a consumer company, we want you. Excellence over credentials. • What you want: • 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're NOT a fit if... • You want to build a nice product but not a generational company - we're swinging for the fences • You need clearly defined scope • You want to specialize in one part of the stack • You're not excited about using AI tools in your workflow • You don't believe in the product or wouldn't use it yourself - we need people who actually care about helping others achieve their goals • You're remote-only (we need you in SF 4 days/week) • You like process and structure (we ship fast and iterate, not endless planning) • Founders • 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. • Vincent (CEO) • Thomas (CTO) • We are repeat founders. We co-founded Tempow in 2016, sold to Google in 2021, moved Paris → SF. Worked together 9 years. • How we actually work • 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: • 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: • 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) • Our operating principles • Applied Pioneers - First to adopt emerging AI research and ship it as product • Applied Pioneers • Magic-First - Consumer products are only worth building if they feel magical • Magic-First • Ship and Try - Iterate by shipping code and playing with prototypes, not endless docs • Ship and Try • Small Excellent Team - Zero compromise on hiring. Strong ICs who contribute everywhere • Small Excellent Team • Work conditions • Location: In-person in San Francisco, 4 days a week at the officeImmigrant-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. • Location: • Immigrant-friendly: • Parent-friendly: • 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.
Benefits
• $200K – $250K • Offers Equity • 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. • TL;DR: • Note: This job description was written by Claude Code, using our founders' WhatsApp conversations as context. We practice what we preach: building with AI. • Note: • What we're actually building • 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. • Psychological profiling from a digital footprint • 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. • Memory that compounds • 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. • Proactive, agentic behavior • 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. • Morphing UI personalization • 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. • What you'll own • The founding engineer role sits at the intersection of every hard problem: the AI intelligence layer, the iOS product, the adaptive UI, the eval systems. • Psychological profiling — building the system that understands users from their digital footprint: emails, calendar, messages, behavioral patterns • Psychological profiling • Memory architecture — designing context systems that compound over months of interaction and beat naive RAG approaches • Memory architecture • Morphing UI — the adaptive interface layer that reshapes itself per user without feeling inconsistent • Morphing UI • Eval frameworks — how do you know the mentor is actually helping versus just sounding wise? You'll build the systems to measure real behavior change • Eval frameworks • Agent orchestration — multi-step AI behavior, tool use, proactive interventions that feel like a mentor, not a bot • Agent orchestration • iOS features — App Clips, Shortcuts, Widgets, wearable integrations as they emerge • iOS features • You'll be writing code day one. You'll also be making architectural decisions that define the company. We move fast. We ship, see what works, iterate. We use AI to code (obviously), but we're not vibe-coding everything - we own the architecture and fully understand critical systems. • You're a fit if... • Technically: • Strong engineer who ships — production systems, not just prototypes. Side projects, open source, anything; show us what you've built and that you actually finish things • Strong engineer who ships • Comfortable across the stack — we're 5 people, no silos; you'll work on backend orchestration one day and iOS UI the next • Comfortable across the stack • Applied AI experience strongly preferred — you've built with LLMs, agents, Claude, or similar; thought carefully about memory, orchestration, evals, and what makes AI behavior reliable
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