You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work.
You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape.
You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability.
You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change.
You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure.
You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge.
Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here.
Responsibilities
You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work.
You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape.
You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability.
You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change.
You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure.
You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge.
Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here.
Linked-in
Google