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.
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.

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
Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization

VP of Engineering, Applications

Key skills