Leading and developing a team building cross-platform, on-device ML infrastructure and features in C++ across iOS, Android, and web.
Setting team direction and translating complex, evolving problem spaces into clear priorities and milestones.
Creating an environment where thoughtful planning, strong execution, and continuous improvement are the norm.
Partnering closely with Platform, Research, Product, and ML stakeholders to deliver meaningful user impact.
Strengthening engineering foundations across architecture, performance, testing, CI, and maintainability.
Supporting responsible production ML practices including experimentation, iteration, and performance monitoring.
Building an inclusive, psychologically safe culture where people feel supported, trusted, and able to do their best work.

You’ve led engineering teams delivering complex technical products, ideally in systems-level, native, or cross-platform environments.
You’re comfortable engaging in systems programming discussions (C/C++, native APIs, performance trade-offs), even if you’re not coding day-to-day.
You have experience with, or strong interest in, ML-powered product capabilities such as on-device ML or inference runtimes (deep ML expertise is welcome but not required).
You bring strong technical judgment and help teams navigate architectural decisions and trade-offs with care and clarity.
You create focus in ambiguity and support teams to deliver consistently in evolving problem spaces.
You’re a thoughtful people leader who invests in coaching, feedback, and long-term growth.
You care deeply about building environments where diverse perspectives are valued and everyone feels they belong.

Equity packages — we want our success to be yours too
Inclusive parental leave that supports all parents and carers
An annual Vibe & Thrive allowance to support your wellbeing, connection, office setup & more
Flexible leave options that empower you to recharge and be a force for good

Engineering Manager – Cross Platform, ML – Edge AI

Key skills