Engineering Manager, Maps Search Intelligence

Cupertino, California, United States Software and Services

Apple Maps is used by millions and powers thousands of applications every single day. Our mission is simple: build the best maps in the world. We are looking for an experienced Engineering Manager to lead the Search Intelligence team to help continue building best‑in‑class algorithms and solutions which help drive Apple Intelligence for Maps. We’re looking for an Engineering Manager who can lead a team of exceptional engineers, drive the technical direction of Maps Search Intelligence, and deliver meaningful contributions to Apple Intelligence.

This role sits at the intersection of large‑scale machine learning, generative AI, and real‑world product impact at a scale few organizations ever reach.

As Engineering Manager of Maps Search Intelligence, you will lead a team building the core search algorithms, large‑scale ML models, and generative AI systems that power how users discover places and interact with Apple Intelligence. You will own the team’s technical roadmap, drive execution across the full ML lifecycle, from research and evaluation through production deployment, and partner closely with product, design, and platform teams across Apple to shape the future of Maps Search.

This is a deeply cross‑functional role. You will influence product strategy directly, translating engineering capabilities into roadmap decisions that reach hundreds of millions of users.

• Lead the design, development, and production deployment of Maps Search features, including large‑scale ML models, deep learning, NLP, and generative AI solutions that power Apple Intelligence.
• Define the long‑term technical vision and roadmap for the Search Intelligence team, balancing near‑term delivery with strategic investment in emerging capabilities.
• Partner with product management, design, and platform teams across Apple to align on goals, shape feature direction, and drive shared roadmaps from inception to launch.
• Influence product strategy by translating research findings and engineering capabilities into concrete opportunities that improve the Maps experience for users.
• Collaborate closely with the Siri team and other cross‑organizational partners to integrate Maps Search capabilities into Apple Intelligence features, aligning on shared technical direction and delivery milestones.
• Establish and manage a quality program for new Search features, defining evaluation frameworks, success metrics, and review processes that ensure every launch meets Apple’s standard for user experience.
• Recruit, develop, and mentor engineers at all levels, fostering a team culture built on technical excellence, ownership, and continuous growth.
• Deliver leadership‑level presentations to communicate technical strategy, roadmap progress, and cross‑team dependencies to product leadership and executives across Apple.

• MS in Computer Science or a related field, with 8+ years of software engineering experience including 3+ years managing engineering teams.
• Proven track record leading high‑performing teams in search, personalization, information retrieval, recommendation systems, or a related ML field.
• Deep expertise in generative AI and LLMs, with hands‑on experience building and deploying these systems in production at scale.
• Demonstrated ability to work cross‑functionally, aligning engineering teams with product management, design, and research partners to define and deliver features at scale.
• Track record of influencing product direction, translating engineering capabilities and data‑driven insights into roadmap decisions and strategic priorities.
• Exceptional communication and presentation skills, with a proven ability to deliver leadership‑level presentations and influence strategic decisions at the executive level.

• PhD in Computer Science, Machine Learning, or a related field.
• Experience evaluating and deploying search features incorporating large‑scale GenAI, deep learning, and natural language processing solutions.
• Deep understanding of search indexing, query understanding, and ranking algorithms.
• Background delivering…