Apple Ads Marketplace Product Manager Ad Matching & Retrieval

At Apple we work every day to create products that enrich peoples lives. The App Store and Apple Maps are trusted destinations for millions of users to discover apps places products and services. Our advertising platform connects users with high-utility advertiser offerings while maintaining Apples uncompromising commitment to user Apple Ads Marketplace team is seeking an experienced deeply technical Product Manager to drive the next generation of our ad matching search intent and retrieval this role you will define the product strategy and roadmap for how we match user intent to relevant advertiser offerings across the App Store Apple Maps and emerging search and conversational surfaces. You will partner closely with world-class ML research and engineering teams to build train fine-tune and inference cutting-edge machine learning and Large Language Model (LLM) systems at massive scale.n

As the Product Manager for Ad Matching u0026 Retrieval you will shape how users discover relevant apps and services across Apples ecosystem:nn- Pioneer Next-Gen Ad Matching with LLMs: Lead the strategy to train and deploy transformer and LLM-based models for semantic matching query intent extraction query rewriting and keyword-to-ad relevance across billions of daily requests.n- Advance Multi-Surface Search Retrieval: Expand retrieval capabilities across the App Store Apple Maps and conversational surfaces ensuring high recall of high-utility ads tailored to diverse user contexts.n- Scale Real-Time u0026 Offline Inference: Collaborate with client and server ML engineering teams to optimize retrieval pipelines to enable embedded based retrieval keyword generation ANN vector search candidate pruning while keeping to a strict serving latency.n- Own the Matching Product Roadmap: Define the vision key metrics (retrieval recall coverage CTR impact advertiser ROI) and execution milestones for auto-targeting and both lexical and semantic intent features.n- Leverage Cross-Functional Apple Signals: Partner with teams across Apple to ethically integrate privacy-preserving signals platform ontologies and catalog embeddings to continuously enrich match quality.n- Data-Driven Strategy u0026 Deep Dives: Analyze marketplace health auction drop-offs and query coverage to uncover gaps and inform future modeling directions.

3 years of technical product management experience owning the full product lifecycle from concept to launch for machine learning or advertising -on experience with AI/ML systems with an emphasis on training fine-tuning evaluating and inferencing large-scale deep learning models and domain knowledge in search information retrieval or ad matching including keyword expansion semantic search vector embeddings dense retrieval (e.g. bi-encoders ANN indexing) and query with high-throughput low-latency online inference architectures across client and cloud server technical and analytical foundation including deep proficiency with SQL and data exploration in large-scale data written and verbal communication skills with proven ability to translate complex AI/ML architectures into crisp PRDs system diagrams and executive leadership and cross-functional influence adept at aligning engineering applied research business and design stakeholders without formal or Masters degree in Computer Science Electrical Engineering Machine Learning Data Science or equivalent practical experience.

Experience building ad marketplace matching retrieval systems including auto-targeting keyword targeting and keyword understanding of multi-modal search and graph-based retrieval across diverse catalog types (e.g. App Store apps Maps points of interest local business entities).nTrack record of designing and running large-scale online A/B experiments for marketplace optimization.