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AI Engineering Manager (CSO Sales Enablement Products, Platforms)

Apple
Full-time
On-site
Cupertino, California, United States
TEAM LEADERSHIP: - Lead and mentor a team of Engineering Program Managers, QA Engineers and Conversational Designers / Prompt Engineers (based in Cupertino and Singapore), providing guidance, support and professional development opportunities - Foster a collaborative, innovative, and learning-oriented team culture. - Streamline processes, onboard tools, and optimize resource planning. - Proactively identify and mitigate risks. BUSINESS & TECHNICAL LEADERSHIP: - Deep understanding of Conversational AI and GenAI within the Commerce domain. - Stay updated on industry advancements and identify relevant technologies. - Quickly learn new technologies. - Collaborate with ML and SWE teams to build future-proof products. PRODUCT DEVELOPMENT & EXECUTION: - Manage the product lifecycle from ideation to optimization. - Find opportunities for Conversational and Generative AI in Channel Sales. - Set engineering goals for the Channel Sales AIML Platform suite. - Create product documentation and presentations. - Strong understanding of ML/SWE and UX principles. - Manage multiple GenAI product developments in a fast-paced environment. MULTI-FUNCTIONAL COLLABORATION: - Resolve conflicts and alignment issues. - Build relationships across Channel Sales, AIML, SWE, and other organizations. PERFORMANCE MANAGEMENT: - Define critical metrics to measure the performance of AI-powered products. - Monitor and analyze performance data for continuous improvement. - Advocate for data-driven decision-making.


  • 10+ years in Machine Learning and Software Engineering, with successful launches of large-scale consumer-facing Commerce products globally.
  • 5+ years leading engineering program, ops, and conversational experience teams.
  • Experience collaborating with design and engineering teams throughout the product lifecycle.
  • Experience launching AI-powered products.
  • Excellent communication skills.
  • Ability to distill information for various audiences.
  • Experience leading cross-functional initiatives.
  • Strong organizational skills; ability to thrive in a fast-paced environment.
  • Proficiency in Python and software development.
  • Customer-focused.
  • Meticulous and strategic problem solver.
  • Master's degree in Computer Science, AI, Machine Learning, or related field.


  • Experience building relationships within Apple teams.
  • Understanding of Apple culture, tools, and processes.
  • Experience setting up new processes, tools, and KPIs.
  • Experience as a Chief of Staff for an AI Product Engineering team.


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 $228,100 and $342,800, 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.
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