Strong technical breadth across mobile, backend, and ML
Track record of building high-performing teams in fast-moving, ambiguous environments
Passion for human-computer interaction
Responsibilities
Lead software and ML engineering teams across mobile, backend, infrastructure, and AI/ML
Drive product delivery, balancing shipping, quality, and velocity
Define engineering requirements and goals, facilitating sprints
Provide architectural guidance, conduct code reviews, and mentor engineers
Collaborate with hardware, firmware, and product teams to ship cohesive products
Shape technical and product direction, identifying investment opportunities
Benefits
Health, vision, and dental benefits
Unlimited PTO and sick time
Early stage equity
Full Job Description
About
As Head of Engineering, you'll lead our software and machine learning teams in building a new interface that makes all of computing feel as simple as thinking. You'll guide and grow our mobile, infrastructure, backend, and AI/ML teams and work closely alongside our product, hardware, and firmware teams. You'll play a significant role in shipping our first product, Stream, as well as shaping our future product, technical, and team direction.
This role is perfect for an experienced engineering leader who cares deeply about team growth and culture, and who wants to build tools that augment individuals in an agentic world.
Responsibilities
Lead our software and ML engineering teams across mobile, backend, infrastructure, and AI/ML
Drive product delivery-balancing shipping, quality, and velocity
Define engineering requirements and goals and facilitate sprints
Provide architectural guidance, conduct code reviews, and mentor engineers
Collaborate closely with hardware, firmware, and product to ship cohesive, full-stack products
Shape technical and product direction-identifying where to invest and what to build next
Qualifications
8+ years in software engineering or machine learning with 3+ years leading engineering teams across multiple disciplines
Experience shipping consumer-facing software / ML products
Strong technical breadth across mobile, backend, and ML-able to go deep when needed and guide architecture across the stack
Track record of building high-performing teams in fast-moving, ambiguous environments
