Apple Inc.
AI Engineering Manager (CSO Sales Enablement Products, Platforms)
Apple Inc., Cupertino, California, United States, 95014
AI Engineering Manager (CSO Sales Enablement Products, Platforms) Cupertino, California, United States | Sales and Business Development
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. Description
Team Leadership:
Lead and mentor a team of Engineering Program Managers, QA Engineers, and Conversational/Prompt Engineers (based in Cupertino and Singapore). Provide 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. 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. 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. Minimum Qualifications
10+ years in Machine Learning and Software Engineering, with successful launches of large-scale consumer-facing Commerce products globally. 5+ years leading engineering program, operations, and conversational experience teams. Experience collaborating with design and engineering teams throughout the product lifecycle. Experience launching AI-powered products. 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. Preferred Qualifications
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. Apple offers a comprehensive total compensation package, including a base pay range of $228,100 to $342,800, dependent on skills and experience. Benefits include medical and dental coverage, retirement plans, stock options, discounts, educational reimbursement, and potential bonuses or relocation assistance. Note: Benefits and compensation are subject to eligibility and other terms. Apple is an equal opportunity employer committed to diversity and inclusion. #J-18808-Ljbffr
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. Description
Team Leadership:
Lead and mentor a team of Engineering Program Managers, QA Engineers, and Conversational/Prompt Engineers (based in Cupertino and Singapore). Provide 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. 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. 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. Minimum Qualifications
10+ years in Machine Learning and Software Engineering, with successful launches of large-scale consumer-facing Commerce products globally. 5+ years leading engineering program, operations, and conversational experience teams. Experience collaborating with design and engineering teams throughout the product lifecycle. Experience launching AI-powered products. 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. Preferred Qualifications
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. Apple offers a comprehensive total compensation package, including a base pay range of $228,100 to $342,800, dependent on skills and experience. Benefits include medical and dental coverage, retirement plans, stock options, discounts, educational reimbursement, and potential bonuses or relocation assistance. Note: Benefits and compensation are subject to eligibility and other terms. Apple is an equal opportunity employer committed to diversity and inclusion. #J-18808-Ljbffr