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Engineering Program Manager - Tools, AI/ML

Santa Clara Valley, CA, USA | Apple

  • Industry:
    Information Technologies
  • Position Type:
  • Functions:
    Project Management
  • Experience:
    10-12 years
Job Description:
57 people have viewed this job

As a member of the Shared Services Team supporting the AI/ML Tools organization, you will be in charge of managing our internal software tools suite, and collaborating with the team to better facilitate planning, execution, reporting and executive-level communication of software tools status in the AI/ML Organization.

Key Qualifications

10+ years of project management, program management or product management

Deep understanding of the software development lifecycle as it relates to machine-learned products and services

Innate drive to improve how things work, with solid track record of driving dramatic improvements for team quality, performance, agility, or efficiency

Self-motivated and proactive, with demonstrated creative and critical thinking capabilities

Outstanding communication and presentation skills, written and verbal, to all levels of an organization

Familiarity with waterfall and agile development methodologies

Highly skilled at cross-functional management without authority


-Organize the portfolio of internal software tools for AI/ML and ensure that all software tools are documented clearly and uniformly, that interdependencies are understood and planned for across teams, and that our process integrates well with other cross-functional teams.

-Define, plan and deliver projects end-to-end working closely with engineering and design.

-Help the team manage their projects more effectively by standardizing, building and improving software development lifecycle processes.

-Monitor and report on progress (achievements, key issues), and track project critical metrics to performance targets. Audit and improve our tracking/project documentation efforts.

-Lead weekly project status meetings and executive reporting.

-Lead all aspects of your projects including specifications, scope, requirements, timelines, and resource allocation.

-Analyze product metrics to measure performance and use this data to drive decisions.

-Communicate project status to leads and executives, present in executive reviews and coordinate product demos.

Education & Experience

BS or MS in Computer Science

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