AI/ML Product Manager — Ad Marketplace

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. seeks a Product Manager for Apple Ads Marketplace to lead AI/ML initiatives that power ad discovery, relevance, quality, and safety at scale.

You will translate ML capabilities into strategic roadmaps, partner with ML research, data science and engineering teams, and drive products from concept to launch while upholding Apple’s privacy and user experience standards. The role focuses on matching/retrieval or relevance/safety domains depending on expertise.

Qualifications

• 3+ years of technical product management or equivalent experience owning and delivering technically complex products or systems, including machine learning, AI, search, advertising, or related technologies.
• Hands-on experience with AI/ML systems, with an emphasis on training, fine-tuning, evaluating, and inferencing large-scale deep learning models and LLMs.
• Strong domain knowledge in one or more relevant AI/ML areas, such as search and information retrieval, matching and recommendations, AI/ML evaluation, relevance and model quality, LLM systems, classification, or related technologies.
• Experience with high-throughput, low-latency online inference architectures across client and cloud server environments.
• Strong technical and analytical foundation, including deep proficiency with SQL and data exploration in large-scale data warehouses.
• Outstanding written and verbal communication skills, with proven ability to translate complex AI/ML architectures into crisp PRDs, system diagrams, and executive strategy.
• Demonstrated leadership and cross-functional influence, adept at aligning engineering, applied research, business, and design stakeholders without formal authority.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Data Science, or equivalent practical experience.

Responsibilities

• Define product vision, strategy, roadmaps, and success metrics for large‑scale AI/ML systems within Apple Ads Marketplace.
• Partner deeply with ML research, engineering, and data science teams to shape model and system requirements and translate technical capabilities into impactful product experiences.
• Drive products through the full lifecycle, from problem definition and technical exploration through development, experimentation, launch, measurement, and iteration.
• Use data and experimentation to identify marketplace opportunities, diagnose gaps, evaluate model and product performance, and prioritize future investments.
• Define metrics that connect ML system performance with user and advertiser outcomes, including relevance, retrieval quality, coverage, user satisfaction, engagement, and advertiser value.
• Partner across Apple to responsibly incorporate privacy‑preserving signals, platform knowledge, and shared technologies into Marketplace systems.
• Communicate complex technical concepts, tradeoffs, and product strategies clearly to engineering, research, business, and executive stakeholders.
• Depending on your area of expertise, drive products across areas such as:
• * Matching & Retrieval: semantic and lexical matching, query understanding and rewriting, candidate generation, embeddings and vector search, keyword generation, auto‑targeting, retrieval quality, and low‑latency inference.
• * Relevance, Quality & Safety: relevance and quality evaluation, LLM raters, model distillation, classification and safety systems, human‑in‑the‑loop and synthetic feedback, model calibration, and real‑time quality guardrails.

Skills

AI/ML systems

Machine learning

SQL

Data exploration

Cross-functional leadership

Product strategy

LLMs

Education

Bachelor's or Master's in CS/EE/ML/Data Science

Job description

Apple Inc. seeks a Product Manager for Apple Ads Marketplace to lead AI/ML initiatives that power ad discovery, relevance, quality, and safety at scale.

You will translate ML capabilities into strategic roadmaps, partner with ML research, data science and engineering teams, and drive products from concept to launch while upholding Apple’s privacy and user experience standards. The role focuses on matching/retrieval or relevance/safety domains depending on expertise.