Role at a glance
- Job function
-
Software Engineering & IT Technical Program Management
- Salary
- $196.9K – $296K/yr
- Location
- Seattle, Washington, United States
- Experience
- Senior Level 8+ years of experience in engineering or technical program management, leading complex cross-functional initiatives.
- Education
- BS in Computer Science, Engineering, or a related technical field, or equivalent industry experience.
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Role Summary
The Senior Engineering Program Manager will drive strategic initiatives for Apple Services Engineering’s Human-Centered AI team across AI research, engineering, evaluation, and Responsible AI. The role focuses on AI evaluation strategies, cross-organizational alignment, and program management practices.
What You'll Do
- Partner with engineering, research, and senior leadership to shape technical roadmaps, influence investment decisions, and set...
- Advance evaluation strategies for LLMs and agentic AI systems, including LLM-as-a-Judge, automated and human evaluation, reliability,...
- Lead initiatives across AI research, engineering, infrastructure, and safety, building relationships and aligning competing priorities.
- Drive large-scale AI/ML programs by establishing measurable outcomes and managing risks and dependencies.
- Mentor EPMs, establish scalable program management practices, and use Generative AI and automation to improve organizational efficiency.
- Translate technical challenges into recommendations and communicate strategic tradeoffs to senior leadership.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: 8+ years of engineering or technical program management experience leading complex cross-functional initiatives; strong technical understanding of AI/ML systems, including generative AI and large language models; experience with LLM-as-a-Judge, automated evaluation, and human evaluation; understanding of Responsible AI, safety, reliability, and risk assessment; ability to influence technical strategy, navigate ambiguity, and align engineering and research organizations; excellent communication, analytical, and problem-solving skills, including senior leadership engagement; BS in Computer Science, Engineering, or a related technical field, or equivalent industry experience.
Preferred
- Experience with foundation models, LLMs, or agentic AI systems at scale.
- Deep understanding of evaluation methodologies, including judge calibration, benchmark design, synthetic data, and evaluation...
- Experience with AI safety, adversarial testing, red teaming, and Responsible AI practices.
- Experience translating AI research into scalable engineering solutions.
- Experience mentoring EPMs and establishing scalable PMO practices.
- Experience leveraging Generative AI or automation to improve program management efficiency.
- Demonstrated ability to influence technical roadmaps, investment decisions, and senior engineering leadership.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
At Apple, we believe in the power of innovation to improve lives. Here, your ideas can quickly become impactful products, services, and customer experiences.
Description
The Human-Centered AI (HAI) team within Apple Services Engineering is seeking an experienced Staff Engineering Program Manager to drive strategic initiatives across AI research, engineering, evaluation, and Responsible AI.
In this role, you will partner with engineering, research, and senior leadership to shape technical strategies, influence priorities, and advance scalable approaches to evaluating AI quality, reliability, and safety. You will bring expertise in modern AI evaluation methodologies, including LLM-as-a-Judge, automated evaluation, and human evaluation.
We are looking for a strategic leader who brings technical insights, challenges assumptions, navigates ambiguity, and drives alignment across complex organizations. You will also help strengthen Engineering Program Management practices through mentorship, scalable frameworks, and innovative applications of Generative AI.
Responsibilities
Strategic Leadership: Partner with engineering, research, and senior leadership to shape technical roadmaps, influence investment decisions, and drive organizational priorities.
AI Evaluation and Responsible AI: Advance evaluation strategies for LLMs and agentic AI systems, including LLM-as-a-Judge, automated evaluation, human evaluation, model reliability, and AI safety.
Cross-Functional Leadership: Lead complex initiatives across AI research, engineering, infrastructure, and safety. Build trusted relationships, navigate competing priorities, and influence decisions without direct authority.
Program Strategy and Execution: Drive large-scale AI/ML initiatives, establish measurable outcomes, identify risks and dependencies, and ensure alignment with organizational objectives.
EPM Excellence and Innovation: Mentor EPMs, establish scalable program management practices, and leverage Generative AI and automation to improve organizational efficiency.
Executive Communication: Translate complex technical challenges into clear recommendations, communicate strategic tradeoffs, and drive informed decision-making with senior leadership.
Minimum Qualifications
8+ years of experience in engineering or technical program management, leading complex cross-functional initiatives.
Strong technical understanding of AI/ML systems, including generative AI and large language models.
Experience with AI evaluation methodologies, including LLM-as-a-Judge, automated evaluation, and human evaluation.
Understanding of Responsible AI principles, including safety, reliability, and risk assessment.
Demonstrated ability to influence technical strategy, navigate ambiguity, and drive alignment across engineering and research organizations.
Excellent communication, analytical, and problem-solving skills, including experience engaging senior leadership.
BS in Computer Science, Engineering, or a related technical field, or equivalent industry experience.
Preferred Qualifications
Experience with foundation models, LLMs, or agentic AI systems at scale.
Deep understanding of evaluation methodologies, including judge calibration, benchmark design, synthetic data, and evaluation infrastructure.
Experience with AI safety, adversarial testing, red teaming, and Responsible AI practices.
Experience translating AI research into scalable engineering solutions.
Experience mentoring EPMs and establishing scalable PMO practices.
Experience leveraging Generative AI or automation to improve program management efficiency.
Demonstrated ability to influence technical roadmaps, investment decisions, and senior engineering leadership.
Pay & Benefits — Seattle, Washington, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $196,900 and $296,000, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.