There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.
Lead application architecture and engineering across backend, mobile and desktop platforms
Design systems for AI-powered workflows, including orchestration, state management, retries and failure recovery
Build and review backend services, APIs and integrations that connect AI systems with product features
Make technical decisions on system design, performance, reliability, security and infrastructure
Lead a small team of senior engineers through technical design, code reviews and engineering guidance
Work with ML and product teams to integrate AI capabilities into production applications
Improve system performance, monitoring, testing and production reliability
8+ years of software engineering experience, including technical leadership of production applications
Strong backend engineering expertise, including APIs, databases, distributed systems and cloud infrastructure
Experience designing and scaling systems across multiple services or application platforms
Hands-on experience integrating LLMs or AI-powered features into production applications
Ability to make architecture decisions, review code and resolve difficult engineering problems
Experience leading senior engineers through technical design, code reviews and mentorship
Strong understanding of system performance, concurrency, reliability and production monitoring
Experience building AI agents, orchestration systems or multi-step workflows
Experience developing applications across web, mobile and desktop platforms
Experience with messaging, email, collaboration or productivity applications
Experience leading engineering teams in early-stage technology companies
Lead architecture and engineering for AI-powered applications across backend, mobile, and desktop, guiding senior engineers and integrating production AI capabilities with a focus on reliability and scale.
Lead security research that translates into product capabilities, expands integrations and controls, and informs remediation priorities and strategies for detecting and preventing sophisticated attacks.
Lead hands-on engineering for AI-powered restaurant marketing products, shaping scalable architecture, shipping features end to end, and mentoring engineers while partnering across product, design, and engineering.
Sets cross-organizational technical strategy and architecture, guiding multi-team initiatives and building reliable distributed systems for conversational AI, event streams, and real-time ML at company scale.
Lead and develop a small backend engineering team while remaining hands-on in architecture and production software, partnering with product to shape priorities and improve delivery and engineering practices.
