About The Position

Apple’s Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a survey data analyst to provide critical customer insights that will shape our product and marketing strategies. We’re looking for a practitioner who is an expert in analytics and data science, understands innovative research methodologies, and has extensive experience translating complex data into clear business insights. If you have a passion for understanding consumer behavior and a proven track record of using data to solve business problems, we want to hear from you. We're looking for a Research Manager to lead our team's efforts to understand where consumer expectations and behaviors around AI assistants are heading. You'll own the full lifecycle of AI research — from designing use case evaluations, identifying white space opportunities to understanding how people navigate a world with multiple, overlapping AI assistants (system-level assistants, in-app assistants, and third-party agents). This is a highly visible, cross-functional role sitting at the intersection of research rigor, product strategy, and consumer insight.

Requirements

  • 10+ years of experience in market research, competitive intelligence, UX/product research, or applied ML evaluation
  • Demonstrated experience designing rigorous comparative/blind evaluation studies (human evals, A/B or preference testing, or benchmark suite design)
  • Experience researching consumer behavior around emerging tech/AI products, including mental models, adoption, trust, and habit formation
  • Strong quantitative literacy, including statistical significance, sampling methodology, and survey design, and the ability to synthesize technical and qualitative findings into executive-ready narratives
  • Strong understanding of the AI assistant/agent landscape (system assistants, in-app assistants, chat/voice interfaces)
  • Track record of cross-functional partnership with product, ML/research, design, and legal/compliance stakeholders

Nice To Haves

  • Background researching multi-agent or multi-surface user experiences (e.g., voice + app + wearable)
  • Experience running mixed-methods studies combining behavioral/telemetry data with qualitative research
  • Prior experience working in consumer AI products is a plus

Responsibilities

  • Design and run blind, statistically sound evaluations benchmarking AI products/models, build repeatable frameworks and human-eval pipelines that scale across product areas
  • Design studies to identify white space opportunities by synthesizing data from primary and syndicated research
  • Study how consumers behave and form mental models in a multi-assistant world
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