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Product Manager, AI/ML - Apple Ads, Marketplace

Apple· Apple Ads Marketplace
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Cupertino, CA$150.4k - $277.6kfull-timePosted 1w ago

About the role

Product Manager role focused on building AI/ML systems for Ad Matching & Retrieval and Ad Relevance, Quality & Safety within Apple Ads Marketplace. Responsible for defining product strategy, roadmaps, success metrics, and working with ML research, engineering, and data science to translate AI/ML capabilities into product experiences at scale with a strong emphasis on privacy and user trust.

Responsibilities

  • Define product vision, strategy, roadmaps, and success metrics for large-scale AI/ML systems within Apple Ads Marketplace.
  • Partner 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.
  • Drive products across areas such as: Matching & Retrieval (semantic/lexical matching, query understanding, candidate generation, embeddings/vector search, keyword generation, auto-targeting, retrieval quality, low-latency inference) or Relevance, Quality & Safety (evaluation, LLM raters, model distillation, classification, safety systems, human/synthetic feedback, real-time guardrails).

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, including training, fine-tuning, evaluating, and inferencing large-scale deep learning models and LLMs.
  • Strong domain knowledge in 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 with proficiency in SQL and data exploration in large-scale data warehouses.
  • Outstanding written and verbal communication, ability to translate complex AI/ML architectures into PRDs, diagrams, and executive strategy.
  • Demonstrated leadership and cross-functional influence without formal authority.
  • Bachelor’s or Master’s in Computer Science, Electrical Engineering, Machine Learning, Data Science, or equivalent practical experience.

Skills

Required:Product management for AI/ML systemsAI/ML system design and evaluationSQL and data exploration in large-scale data warehousesCommunication and stakeholder alignment

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • education expense reimbursement (tuition)
  • discretionary bonuses or commission potential
  • relocation assistance
  • employee stock programs
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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