Technical Lead, Applications

About A1

There are over 5 billion users using basic applications today such as email, notes, 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.

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. You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.

Focus

• 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.
• Persistently partner closely with Machine Learning leadership to translate model capability into shippable product features.
• Made 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.

Ideal Experiences

• 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.
• Moved 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.
• Lateness 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 in the hands of our users a truly magical product.

Interview Process

If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.