Technical Lead, Applications

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.

• 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.

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.

• 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.