About The Position

Apple is seeking a world-class Product Manager to join the Data Solutions & Initiatives (DSI) department. This role offers the opportunity to lead executive-visible AI-powered products, including an executive reporting workbench and a natural-language query product for business status. The Product Manager will own the broader executive reporting and BI portfolio, building tools to empower senior executive stakeholders (up to VP level) to make faster, better-informed decisions. The role involves driving strategic vision, partnering with engineering, data, design, and AI platform teams, and working directly with executives to define and execute a multi-year product roadmap with a path to full ownership.

Requirements

  • Experience with executive reporting, forecasting, or BI dashboard products specifically.
  • Proven track record of managing product development lifecycles, building complex products with cross-functional partners including engineering, design, and business stakeholders.
  • 5+ years in a role demanding executive-facing judgment and ownership of outcomes (e.g., product management, strategy/management consulting with ownership, or early/founding product role at a startup).
  • Direct, independent experience owning an ongoing relationship with a VP or executive-level stakeholder.
  • Demonstrated ability to sit with ambiguous, evolving executive requests and translate them into clear product requirements and team direction.
  • Comfort working with complex data and a solid understanding of analytics/BI concepts.
  • SQL knowledge or hands-on experience with data analysis/query tools (e.g., Trino, Dremio).
  • Ability to work effectively with engineering teams building AI/agent-powered features and data-pipeline-driven reporting.
  • Strong written and verbal communication skills, with the ability to distill technical and data complexity for senior leadership on short notice.
  • Ability to travel internationally as needed.
  • Bachelor’s degree in a business-related field (e.g., Business, Finance, Economics, Marketing) or a quantitative field (e.g., Statistics, Applied Mathematics) or equivalent practical experience.

Nice To Haves

  • Hands-on experience applying data analytics in Finance, Sales Operations, or Demand Management.
  • Direct experience building or shipping AI/LLM-powered product features, with a background of working with data science or AI platform teams to deliver intelligent features.
  • Comfortable prototyping and iterating through imperfect early AI behavior.
  • Familiarity with BI platforms (Tableau or equivalent).
  • Understanding of data products and pipelines, APIs, and system integrations.
  • Experience operating with high autonomy within a small team, demonstrating willingness to independently write specifications, retrieve data, or perform quality assurance when assistance is unavailable.
  • Master’s degree in a business-related field (e.g., Business, Finance, Economics, Marketing) or a quantitative field (e.g., Statistics, Applied Mathematics) or equivalent practical experience.

Responsibilities

  • Lead the development, launch, and evolution of executive reporting and BI products, powering strategic decision-making for senior leadership.
  • Serve as the direct, primary product point of contact for VP- and executive-level stakeholders, translating ambiguous and evolving executive needs into clear product direction.
  • Manage the product lifecycle from ideation through launch and beyond, including roadmapping, feature definition, and go-live strategy.
  • Champion experimentation with AI-driven capabilities, bringing a hands-on builder's mindset rather than waiting for proven patterns to emerge elsewhere.
  • Evangelize the product vision across the department and cross-functional teams to achieve product objectives.
  • Act as a liaison between business and technical teams, building long-lasting relationships with both.
  • Collaborate with program management to communicate project status, resolve issues, and ensure high-quality products are delivered on time.
  • Analyze and research business and usage data to propose and design solutions in collaboration with Engineering, Data, and Design partners.
  • Work in an agile team with a hands-on approach.
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