Full-Time

Channel Sales & Operations – AI Data Product lead

Confirmed live in the last 24 hours

Apple

Apple

10,001+ employees

Designs and sells consumer electronics and software

VR & AR
Consumer Software
Fintech
Consumer Goods

Expert

Austin, TX, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
R
Data Structures & Algorithms
Product Management
SQL
Tableau
Natural Language Processing (NLP)
Data Analysis
Requirements
  • 10+ years of experience working in product leadership roles at both major internet players and startups
  • Experience with data-driven digital transformation projects using AI/ML/NLP technology
  • Strong background in mathematical modeling, linear and non-linear regression, and consumer decision making theory
  • Understand Expert R/Python, NLP and other languages important to the ETL data pipeline e.g. SQL
  • Computer Science, Computer/Data Engineering Degree (Master degree or higher preferred)
  • Experience in design/development of complex decision-making systems.
  • Experience with building product and data technology stack, architecture design and development
  • Expert in the use of industry-standard data analysis and reporting tools including Tableau.
  • Product management mindset/ leader with deep business expertise
  • Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule
  • Skill for building great design, excellent presentation, written and verbal communication, engagement and interpersonal skills
  • Ability to personally deliver large scale initiatives in a fast-paced environment with high levels of complexity and ambiguity
  • Global mentality
  • Experienced in the sales, consulting, business performance analytics, business operations, or change management preferred
  • Proven change agent and a strong strategic problem solver
  • Proven track record of clear communications with C-suite partners and across cross-functional teams
Responsibilities
  • Develop an overarching vision and strategy for our data and AI technology blueprint and architecture.
  • Establish and oversee data quality standards and strategies to ensure accurate business outcomes
  • Design and build connected data models and algorithms to answer business questions and estimate the causal impact
  • Transform data science prototypes to useful NLP applications, train ML models and extend libraries to NLP tasks and ongoing analyses and refine
  • Drive digitization, automation, process changes and data first culture within the channel sales & ops team
  • Partner with cross-functional data teams including Finance, Marcom, Product Marketing, IS&T to build a world class AI technology stack and process.

Apple Inc. creates and sells a variety of technology products, including iPhones, iPads, Mac computers, and Apple Watches, along with services like the App Store and Apple Music. Its products work together seamlessly, providing a cohesive user experience that sets it apart from competitors. Apple aims to enhance customer loyalty through offerings like the Apple Card and a trade-in program, while also advancing in spatial computing for immersive experiences. The company's goal is to maintain its leadership in the technology market by delivering high-quality products and services.

Company Stage

IPO

Total Funding

$619.1K

Headquarters

Cupertino, California

Founded

1976

Simplify Jobs

Simplify's Take

What believers are saying

  • Apple's services segment provides a steady stream of recurring revenue.
  • Redesigning the Magic Mouse addresses longstanding customer complaints.
  • Apple's foldable device plans indicate future market expansion.

What critics are saying

  • Criminal complaints over Congo mineral trade could harm Apple's reputation.
  • Competition from services like Jio Cloud challenges Apple's iCloud market share.
  • Apple's electric vehicle project faces skepticism and competitive pressure.

What makes Apple unique

  • Apple's integrated hardware and software create a seamless user experience.
  • Apple's trade-in program supports sustainability and customer loyalty.
  • Apple's spatial computing innovations enhance immersive user experiences.

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