Job description

Influence and drive business and product decisions for Apple's AI roadmap in cross-functional partnership with Product Marketing Managers, Services, Engineering, Infrastructure, Operations, Finance, Customer Analytics, Sales and Market Research Advise on business model opportunities, feature arbitration, and line-up decisions with business analyses considering revenue, cost, and margin implications by integrating a multitude of varied data sources Partner closely with Engineering and Infrastructure teams to understand the cost drivers behind AI features and translate technical complexity into clear financial insight Collaborate with the Services team to align on shared business questions, ensuring AI-related decisions are evaluated holistically across the Apple ecosystem Absorb and dissect usage trends, customer activation trends, buyer surveys, external market research, and technical performance benchmarks to inform product and business strategy Integrate various datasets to create, present, and defend demand forecasts, scenarios, and other business insights to senior leadership Support stealth investigations, special projects, and ad-hoc requests for senior Apple leadership 4+ years of experience in a highly analytical role with frequent exposure to business case and scenario modeling Bachelor's Degree in Engineering, Finance, Economics, Computer Science, or another quantitative field A true finance athlete — adaptable, agile, and able to context switch seamlessly across multiple workstreams, business areas, and stakeholder groups Demonstrated ability to work cross-functionally across a broad and varied set of partners, including Product Marketing, Services, Engineering, Infrastructure, and other technical teams Comfort navigating product, engineering, and infrastructure topics with a keen interest to ramp quickly on new and unfamiliar technical content Deep passion for Apple's products and mission, and a genuine interest in AI and its implications for Apple's business Ability to work comfortably under ambiguity to deliver fully developed and well-reasoned analyses Strong and structured communicator, able to distill complexity for a wide range of audiences Ownership mindset and high agency to take a proactive role in leading project work-streams from end-to-end Strong attention to detail and the ability to "see around corners" High proficiency in Excel modeling, with strong competency (or aptitude to learn) in SQL, Tableau, R, and Python Adept at managing senior stakeholder relationships across both finance and non-finance partners

Requirements

Must-haves

Advise on business model opportunities, feature arbitration, and line-up decisions with business analyses considering revenue, cost, and margin implications by integrating a multitude of varied data sources
Partner closely with Engineering and Infrastructure teams to understand the cost drivers behind AI features and translate technical complexity into clear financial insight
Collaborate with the Services team to align on shared business questions, ensuring AI-related decisions are evaluated holistically across the Apple ecosystem
Absorb and dissect usage trends, customer activation trends, buyer surveys, external market research, and technical performance benchmarks to inform product and business strategy
Integrate various datasets to create, present, and defend demand forecasts, scenarios, and other business insights to senior leadership
Support stealth investigations, special projects, and ad-hoc requests for senior Apple leadership
4+ years of experience in a highly analytical role with frequent exposure to business case and scenario modeling
Bachelor's Degree in Engineering, Finance, Economics, Computer Science, or another quantitative field
A true finance athlete — adaptable, agile, and able to context switch seamlessly across multiple workstreams, business areas, and stakeholder groups
Demonstrated ability to work cross-functionally across a broad and varied set of partners, including Product Marketing, Services, Engineering, Infrastructure, and other technical teams
Comfort navigating product, engineering, and infrastructure topics with a keen interest to ramp quickly on new and unfamiliar technical content
Deep passion for Apple's products and mission, and a genuine interest in AI and its implications for Apple's business
Ability to work comfortably under ambiguity to deliver fully developed and well-reasoned analyses
Strong and structured communicator, able to distill complexity for a wide range of audiences
Ownership mindset and high agency to take a proactive role in leading project work-streams from end-to-end
Strong attention to detail and the ability to "see around corners"
High proficiency in Excel modeling, with strong competency (or aptitude to learn) in SQL, Tableau, R, and Python
Adept at managing senior stakeholder relationships across both finance and non-finance partners

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilesqlpython

Platform: apple
Effort: medium