AI Media Strategist

Marcom is the creatively-led global team that oversees Apple’s consumer facing marketing. We ensure the flawless development and execution of world-class communications across all medias and platforms. Every day, hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple, engaging and inspiring marketing experiences.

The Worldwide Media team includes Comms Planning, Media Strategy and Measurement. It helps design advertising campaigns that make sure we plan and create for the best media environments to reach our target audience.

As an AI Media Strategist, you’ll own how paid media strategy evolves in response to AI. From generative search reshaping discovery, to new AI-powered media products entering the ecosystem, you will redefine touch points, conversion funnels, and message sequencing in a post-traditional-search landscape. You’ll translate fast-moving developments into actionable strategy, then drive execution with agency partners and cross-functional teams. This role requires someone who moves fluidly between deep technical analysis and compelling storytelling, working high and low - from hands-on analysis to leadership presentations.

Track and synthesize AI developments affecting the media landscape, including evolving consumer behavior around LLMs, AI-driven discovery, and ecosystem shifts, and translate them into actionable media strategy. Redefine the AI-driven consumer journey by mapping new touch points, conversion funnels, and message sequencing in a post-traditional-search landscape. Develop a strategic playbook for AI Overviews (AIOs), taking ownership of research studies and laying out a practical roadmap for continuous learning and adaptation. Lead the evaluation, integration, and global rollout of AI-enabled media tools and capabilities, partnering with regional teams to ensure smooth adoption and leverage AI for local market efficiencies. Collaborate deeply with internal teams managing Dynamic Creative Optimization (DCO), comms planning, and brand & content strategy to inform briefs, ensure AI-driven media scales, and utilize AI as a research tool for competitive insights. Represent the media team cross-functionally in developing and evaluating new tools and technologies, acting as the crucial link between AI strategy and traditional media management. Partner with external agency teams to design measurement studies and translate results into clear insights and recommendations for cross-functional and leadership audiences, recognizing that successful media management requires tight collaboration. Own compliance, legal, and privacy review for new vendor-side AI and media platforms, from initial vetting through implementation, ensuring alignment with Apple’s privacy principles and procurement requirements.

7+ years in media strategy or planning, in media agency or in-house media team. Experience integrating AI-enabled media tools into marketing programs. Familiarity with AI visibility and brand monitoring tools (e.g., Profound, Bluefish, Evertune) and analytics platforms (e.g., Adobe Analytics).

Experience with paid search or content strategy, or artificial intelligence optimization (AIO)/ answer engine optimization (AEO)/ generative engine optimization (GEO). Experience navigating vendor onboarding and compliance review, with a working knowledge of privacy and procurement requirements. Clear point of view, backed by examples, on how AI and LLMs are changing consumer behavior and advertising. Strong analytical skills, with the ability to effectively communicate findings to both technical and creative stakeholders with equal credibility. Track record of working closely with media buyers, internal strategy teams, and external agencies. Proven ability to set priorities, align stakeholders, and move work forward when direction is unclear or evolving. Early adopter on an emerging media platform or format, with a playbook you built where none existed. Comfort partnering with data science teams on how AI models retrieve, rank, and cite content.