Sr Engineering Manager (Customer Engagement), AI & Data Platforms (AiDP)

Imagine what you could do here. At Apple new ideas quickly become platforms and capabilities that shape how the company operates at global scale. Bring passion technical depth and strong leadership and theres no limit to the impact you can are seeking a hands-on Senior Engineering Manager to lead a portfolio of marketing technology platforms that power Apples Worldwide Marketing operations. This role is execution-focused: leading teams of engineers and engineering managers to build optimize and modernize business platforms that directly support Worldwide Marketing and a growing portfolio of Gen AI initiatives. The ideal candidate combines deep data engineering expertise solid software engineering fundamentals strong people leadership and a genuine passion for applying AI to transform how businesses operate.

In this role you will lead teams that design and operate foundational data and marketing technology platforms partner closely with business stakeholders and translate complex business needs into trusted systems used across the company. This position requires a strong technical foundation deep people leadership experience and domain understanding of marketing campaign management and will shape long-term platform strategy bring AI innovations to make business processes more efficient and surface deeper insights from marketing and customer data. A key part of this role is the opportunity to help stand up a forward-deployed engineering team a group embedded closely with business partners to rapidly prototype validate and scale next-generation AI solutions. You will work cross-functionally with internal business partners researchers product teams and platform engineers to drive roadmap development and delivery.

Lead with technical depth actively engaging in business and architecture decisions design reviews and prototyping alongside your and execute the long-term strategic roadmap for the platform portfolio incorporating emerging Gen AI technologies and evolving business the agentic transformation of marketing and analytics platforms by designing and deploying AI agent workflows that automate complex multi-step processes and reduce manual intervention at shape and potentially lead a forward-deployed engineering team focused on partnering directly with business stakeholders to rapidly prototype validate and scale next-generation AI closely with Worldwide Marketing business groups and other stakeholders to translate complex business requirements into robust data-driven platform data engineering best practices ensuring data integrity quality and efficient processing to support analytics and insights across Marcom and customer install base with business stakeholders to develop market research and customer engagement insights capabilitiesnEnsure the operational health security and compliance of the platform establishing robust monitoring alerting and incident response engineering productivity through effective processes tooling and organizational structures that enable teams to deliver with high quality and the teams strategy and impact to senior leadership with executive presence delivering compelling demos and clearly articulating ROI and business develop and retain world-class engineering talent; manage and mentor engineering managers and senior technical leaders fostering a culture of excellence and continuous growth.

10 years of software or data engineering experience with at least 5 years in engineering track record leading large-scale data platforms or enterprise software systems in a production software and data engineering fundamentals and the ability to engage meaningfully in architectural and design discussions with senior -on experience with Gen AI tooling LLM integration or AI experience partnering directly with business stakeholders to define requirements and deliver impactful technology communication and influencing skills with the ability to operate effectively across organizational or MS in Computer Science Engineering or a related technical field.

Experience in marketing technology customer engagement platforms or campaign management systems at with large-scale analytics platforms ETL pipelines and modern data stack technologies such as Snowflake Spark or equivalent. nDeep understanding of privacy security and regulatory requirements in data systems. nExperience building or scaling forward-deployed or embedded engineering teams that work directly with business record of successfully modernizing legacy platforms while maintaining business ability to lead through organizational change and ambiguity while maintaining team morale and delivery in a highly matrixed cross-functional organization where influence is more critical than leveraging Gen AI tools to accelerate software delivery including CI/CD automation and developer productivity