Manager, Engineering Program Management — Customer Systems

Apple • Austin, TX

10d

About The Position

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. At Apple, we don't just work. We innovate, create, and redefine what's possible. Every customer interaction is a chance to amaze, inspire, and connect, and by obsessing over the smallest details, we create experiences that leave a lasting impact. The Customer Systems Platform Services team builds the next generation of contact center solutions at Apple. These platforms carry hundreds of millions of customer contacts a year across AppleCare and Retail. We are looking for an exceptional leader to build and lead our Engineering Program Management team: someone with a sharp technical mind, real financial and operational rigor, and the conviction to challenge how things have always been done.

Requirements

• 10+ years of experience in technical program or engineering program management, delivering large, complex, cross-functional initiatives end-to-end.
• 5+ years of direct people management, including hiring, developing, and leading program managers or comparable senior individual contributors across geographically dispersed teams.
• Demonstrated ownership of program or portfolio budgets, including forecasting, cost allocation, TCO, and ROI evaluation.
• Comfortable owning accountability without full control of the resources delivering the work.
• Hands-on experience applying Generative AI tools and LLMs to program execution in areas such as technical documentation, automated status reporting, data synthesis, or decision support.
• Strong technical fluency; able to engage directly with engineers and architects, challenge assumptions, and dig into how the work is being done, not only whether it shipped.
• Exceptional written and verbal communication skills, with proven experience presenting to and influencing executive leadership.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Nice To Haves

• Experience delivering large-scale platform migrations or legacy modernization while maintaining business continuity.
• Experience with agentic AI, LLM-powered workflows, or conversational AI in a production customer-facing environment.
• Experience partnering on vendor selection, contract negotiation, and licensing strategy for enterprise software.
• Experience with capacity-based staffing models and onshore/offshore optimization.
• Familiarity with data-driven decision-making; comfortable using usage, quality, and cost metrics to guide program direction.
• Certifications in Scrum (CSM), Agile, or Project Management (PMP) are a plus.
• Sharp analytical mindset and a bias toward simplifying rather than adding process.
• Experience in the contact center domain: CCaaS platforms, telephony and routing architecture, workforce management, or agent-facing systems.

Responsibilities

• Lead a team of Engineering Program Managers delivering complex, multi-year platform initiatives across a global contact center footprint.
• Own the portfolio roadmap and delivery, the health of the team behind it, and the portfolio's overall budget and total cost of ownership.
• Partner daily with Engineering leaders, Solution Architects, business stakeholders, and finance partners to turn strategy into executable roadmaps across the business units we support.
• Drive adoption of GenAI and agentic tooling, so your team spends its time on judgment rather than administration.
• Be a credible partner to Engineering on the AI capabilities being built into the platform itself.
• Challenge the norm, look at an accepted process, vendor roadmap, or architectural assumption and ask whether there is a fundamentally better way, then build the analysis to prove it.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager