below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$194,000–$254,750
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$224k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3515 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2718 roles with salary data.
Product Manager, AI/ML - Apple Ads, Marketplace joins the Apple Ads Marketplace team to build next-generation AI/ML systems for ad discovery, relevance, quality, and safety. This role involves defining product strategies and roadmaps for large-scale systems that match user intent to advertiser offerings across the App Store and Apple Maps. You will partner with ML research, engineering, and data science teams to manage the full lifecycle of deep learning models and LLMs, from data development to production deployment. Key technical areas include semantic and lexical matching, embeddings, vector retrieval, query understanding, model distillation, and real-time safety guardrails. You will use SQL and data exploration to evaluate performance metrics like retrieval quality and coverage while ensuring privacy-preserving signals are integrated into the marketplace.
What does a Product Manager earn in California?
Median $223025 from 326 postings across 56 companies.
Define product vision, strategy, roadmaps, and success metrics for large-scale AI/ML systems within the Apple Ads Marketplace.
Translate technical ML capabilities into clear product requirements, execution plans, and impactful user experiences.
Drive products through the full lifecycle from problem definition and technical exploration to development, experimentation, and production deployment.
Use data and experimentation to identify marketplace opportunities, diagnose gaps, and prioritize future investments.
Define metrics that connect ML system performance with user and advertiser outcomes like relevance, coverage, and engagement.
Incorporate privacy-preserving signals and platform knowledge into Marketplace systems.
Communicate complex technical concepts and tradeoffs clearly to engineering, research, business, and executive stakeholders.
Manage specific technical areas such as semantic matching, vector retrieval, LLM-powered raters, or real-time safety guardrails.
What we're looking for
3+ years of technical product management experience owning complex products including machine learning, AI, search, or advertising.
Hands-on experience training, fine-tuning, evaluating, and inferencing large-scale deep learning models and LLMs.
Domain knowledge in areas such as search, information retrieval, matching, recommendations, AI/ML evaluation, or LLM systems.
Experience with high-throughput, low-latency online inference architectures across client and cloud server environments.
Deep proficiency with SQL and data exploration in large-scale data warehouses.
Ability to translate complex AI/ML architectures into PRDs, system diagrams, and executive strategies.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Data Science, or equivalent practical experience.
Experience building or product-managing large-scale advertising, marketplace, search, recommendation, or content systems (preferred).
Python
LLMs
Agentic AI
RAG
Machine Learning
SQL
Model Fine-tuning
Inference Optimization
Embeddings
Production Engineering
Statistics
Data Infrastructure