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 there's no limit to the impact you can have.
We are seeking a hands-on Senior Engineering Manager to lead a portfolio of marketing technology platforms that power Apple's 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.
Description
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 analytics.
You 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.
Minimum Qualifications
10+ years of software or data engineering experience, with at least 5 years in engineering management.
Proven track record leading large-scale data platforms or enterprise software systems in a production environment.
Strong software and data engineering fundamentals and the ability to engage meaningfully in architectural and design discussions with senior engineers.
Hands-on experience with Gen AI tooling, LLM integration, or AI prototyping.
Demonstrated experience partnering directly with business stakeholders to define requirements and deliver impactful technology solutions.
Excellent communication and influencing skills, with the ability to operate effectively across organizational boundaries.
BS or MS in Computer Science, Engineering, or a related technical field.
Preferred Qualifications
Experience in marketing technology, customer engagement platforms, or campaign management systems at scale.
Experience with large-scale analytics platforms, ETL pipelines and modern data stack technologies such as Snowflake, Spark, or equivalent.
Deep understanding of privacy, security, and regulatory requirements in data systems.
Experience building or scaling forward-deployed or embedded engineering teams that work directly with business organizations.
Track record of successfully modernizing legacy platforms while maintaining business continuity.
Demonstrated ability to lead through organizational change and ambiguity while maintaining team morale and delivery momentum.
Experience in a highly matrixed, cross-functional organization where influence is more critical than authority.
Experience leveraging Gen AI tools to accelerate software delivery, including CI/CD automation and developer productivity
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: a40f690df4bda0056e0342a9ebb4ef01
- Posted 30+ days ago
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