What are the responsibilities and job description for the Product Manager/ Sr. Product Manager, Search Intelligence & Algorithms position at Apple?
The App Store is the world's safest and most vibrant app marketplace, serving more than half a billion people each week! Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and information they need to build a brighter future and a better world. It has enabled countless new companies, spawned new industries and created millions of jobs. A significant driver of the global economy, the App Store facilitated over a $1 trillion in developer billings and sales in 2022 alone, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we’re just getting started!
We’re seeking a hardworking, experienced and driven Product Manager/ Sr. Product Manager to lead Core Search Intelligence and Algorithm for the App Store, from query understanding to ranking and relevance. You’ll advance our search experience by experimenting with core ranking systems, deepening semantic understanding of apps, user intent, and context. You’ll own features like search suggestions, spell correction, hints, and search results that guide users to success. This role also leads fraud and abuse prevention in search by developing ML models that maintain quality and trust. Additionally, you'll define model requirements across international storefronts to ensure great search results globally.
Define, deliver, market, and measure search experiences on the App Store by leveraging algorithms and AI/ML technologies across all our platforms — iOS, iPadOS, macOS, watchOS, tvOS and visionOS.
Have a strong understanding of the search product and user needs, define clear strategy, tactics and evaluation metrics from both objective and subjective perspectives, identify problems through well-founded evaluation methods, and drive optimization.
Design search results optimization strategies through data analysis and user analysis, continuously iterate search experience.
Guide the team in developing advanced AIML solutions in alignment with Apple values.
Collaborate with different cross-functional teams to form policies and practices that uphold privacy, trust, safety, and AI principles to deliver a premium user experience.
Partner with Engineering and Program Management teams to build innovative and delightful best-in-class search experiences using latest technologies.
Lead competitive analysis, customer research, and product metrics evaluations to define features that drive engagement and usage.
Minimum Qualifications:
12 years of experience in software development, including at least 5 years in product management and managing complex software projects with multiple collaborators and organizations.
3 years of experience with AI/ML technologies (e.g., language models, search & recommendation systems) and a proven track record of shipping AI/ML based consumer products.
Preferred Qualifications:
Deep understanding of large-scale information retrieval systems, including index architecture, query rewriting, ranking pipelines, and blending strategies.
Strong analytical skills and ability to identify key opportunities and measure impact to drive improved user experiences.
Proven track record of collaborating with machine learning experts to define and assess critical metrics.
Experience designing and interpreting online experiments (A/B tests), offline evaluation metrics (e.g., NDCG, recall, MRR), and managing relevance judgment processes.
Demonstrate strong expertise in technology, software engineering, and design, effectively communicating complex ideas across the organization and engaging in UX research to identify obstacles, enhance ease of use and improve customer satisfaction.
Exceptional interpersonal skills; thrives in highly collaborative projects, effective at building consensus, handles decisions with ease, and has the ability to navigate ambiguity.
Extraordinary oral and written communication skills; ability to become fluent in technical concepts and explain to executives and non-technical partners.
Excellent storytelling and Keynote presentation skills.
Bachelor’s degree in computer science or equivalent experience.