Engineering Manager, Siri App (iOS and macOS)

Quick Facts

• Role: Hands-on Engineering Manager for the Siri app across iOS and macOS

• Focus: Siri AI capabilities, engineering quality, and faster delivery through agentic coding and AI-driven testing

Description

You will lead and grow engineers building the Siri app for iOS and macOS, raising the bar for architecture, code quality, testing, and performance. You’ll work closely with Design, Product, AI/ML, and Quality to turn ideas into polished experiences and partner with sibling OS teams for system-level Siri integration. The role is hands-on: you’ll prototype quickly, drive codebase restructuring for isolation/testability, and adopt agentic coding and AI-driven UI testing.

Responsibilities

• Lead, hire, and grow the engineering team; turn leads into strategic thinkers

• Stay hands-on with architecture, code reviews, debugging, and performance; set expectations for concurrency and testing

• Drive adoption of agentic coding and AI-driven UI testing across the team

• Use the product daily, own issues, and move fixes forward with proposals, prototypes, and demos

• Establish a rapid prototype-and-demo pace to deliver working demos in days

• Lead a codebase restructure for isolation and testability to reduce reliance on end-to-end validation

• Partner with iOS/macOS sibling teams and cross-functional leaders to deliver system-level Siri integrations

Requirements

• B.S./M.S. in Computer Science or related field, or equivalent experience

• Proven experience managing engineering teams, including hiring and growing engineers into technical leaders

• Deep expertise in Swift and SwiftUI

• Hands-on experience with agentic coding tools, including leading their adoption across a team

• Strong product sense and a track record of shipping great customer experiences

• Track record of leading cross-functional projects with excellent communication skills

Benefits

• Lead the team shaping Siri’s central role in Apple Intelligence across iOS and macOS

• Drive new engineering practices using agentic coding and AI-driven testing to accelerate software delivery

• Work in close partnership with Design, Product, AI/ML, Quality, and sibling OS teams to deliver system-level experiences