Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale
Hands-on technical leadership: You stay close enough to the code to guide architecture, performance, reliability, and release-quality decisions — and can make small contributions when it helps the team move faster
AI product curiosity: You don’t need to be an AI researcher, but you are hands-on with AI tools and curious about how AI changes product development, engineering workflows, and user expectations
Execution through ambiguity: You can turn open-ended product bets into clear strategy, sequencing, staffing, and delivery
Cross-functional leadership: You work well with across different functions to define problems and ship polished outcomes
People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement
You’ve led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails
You’ve managed teams through 0→1 product development or fast iteration on new product surfaces
You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release quality at scale
You’ve led teams delivering end-to-end product experiences across mobile, web, and server boundaries
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on