Technical Lead, Applications

About the company

There are over 5 billion users using basic applications today such as email, notes, and tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organizing, and workflows with minimal prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily with over ~90% reduced time.

About the role

As Technical Lead, Applications, you directly own the core application architecture that connects AI systems to real-world user experiences. You are responsible for the design, reliability, and evolution of backend services, APIs, and client integrations across mobile and desktop. This is a hands-on leadership role where you stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.

Responsibilities

• Own the application engineering strategy and execution across backend, mobile, and desktop.
• Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
• Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling.
• Set the architectural direction for AI-powered product workflows, APIs, and client integrations.
• Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
• Partner closely with Machine Learning leadership to translate model capability into shippable product features.
• Make high-impact decisions across latency, cost, reliability, security, and user experience.
• Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.
• Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
• Balance speed and discipline – shipping quickly without compromising long-term system quality.

Qualifications

• Significant experience leading application or product engineering for complex systems.
• Strong hands-on background building and shipping backend systems used in production.
• Experience delivering AI-powered products, with a deep understanding of model integration trade-offs.
• Excellent system design skills across services, APIs, clients, and data flows.
• Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
• Proven ability to make high-impact technical decisions under ambiguity.
• A strong bias toward shipping, iteration, and learning from real-world usage.
• Move fast without breaking fundamentals.

Outcomes

• Production systems are observable, monitored, and stable under real-world load.
• Decisions consistently balance speed, cost, reliability, and user experience.
• Features across backend, mobile, and desktop work smoothly and reliably.
• Latency and reliability improve measurably over time.

How we work

The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high-quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put a truly magical product in the hands of our users.