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 Sr. Technical Product Manager, Digital Machine Learning Experience - Austin, Texas, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200221404 / Latpro-3774793 
Date posted: Feb-23-2021
State, Zip: Texas, 78729


Sr. Technical Product Manager, Digital Machine Learning Experience

Austin , Texas , United States

Software and Services


Posted: Feb 22, 2021

Weekly Hours: 40

Role Number: 200221404

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading health and environmental efforts. Join Apple and help us leave the world better than we found it. As a key leader with our Retail Machine Learning Product team, your team will create the algorithms and solutions that power Apple's seamless, high-quality digital retail experience for our customers. Join our team and play a critical role building an extraordinary digital commerce experience for an incredible set of customers. As the Senior Product Manager, you will be responsible for owning and developing the machine learning solutions that define a critical part of the strategy and implementation for recommendations, on-line personalization and multivariate testing. Our ideal candidate has in-depth experience working within a large-scale, enterprise company, leading product managers to create and execute long term plans in these spaces. He/she will be self-directed, operationally minded, and motivated, with strong analytical, project management, and influencing skills. He/she will have a knack for understanding applications interfaces as well as customer experiences and be able to clearly articulate requirements to engineering, designers and partners.

Key Qualifications

  • 8+ years of product management experience in enterprise scale e-commerce company leading machine learning solutions, asset management and multivariate testing platforms (required).
  • Demonstrated ability of building and leading a team.
  • Clear understanding of an e-commerce ecosystem and in depth knowledge of requirements capturing.
  • Experience crafting product roadmap(s) from conception to launch, driving product vision and leading design discussions.
  • Ability to effectively communicate to executives and global audiences.
  • Self-motivated and thrives in a fast-paced environment.
  • Comfortable working in a constantly evolving environment where ambiguity and short turnaround schedules are the norm.
  • Exhibits high degree of ownership and accountability.


  • Lead, grow and retain hardworking product managers to deliver high quality scalable machine learning solutions and develop long term roadmap to make Apple Online Store the best place to purchase Apple products.
  • Direct and lead the strategy and evolution of the Apple Online Store's machine learning experience and platforms. Be the internal champion for smart, sustainable applications and processes.
  • Develop trusted relationships with engineering teams, data scientists and business partners to drive high quality and on time product delivery.
  • Partner with other product management teams on project and ensure the delivery of high quality solutions.
  • Understand and discuss technical concepts and trade-offs with internal partners and engineering teams.
  • Consult in development of launch plans, ensure detailed planning of deliverables are executed and communicated.
  • Identify and drive business process changes needed to support new products being released into production.

    Education & Experience

  • BA/BS required
  • MBA or Masters in equivalent preferred
  • Project Management certification a plus

  • Requirements

    See job description


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