• AIML - Sr Engineering Program Manager, Siri Metrics & Evaluation Methods

    AppleSan Francisco, CA 94103

    Job #2673377224

  • AIML - Sr Engineering Program Manager, Siri Metrics & Evaluation Methods

    San Francisco,California,United States

    Software and Services

    Imagine what you could do here. Are you passionate about driving the delivery of ground-breaking intelligent experiences? The Apple AIML org is building such experiences and the technologies that powers them...and we are looking for people like you! We are looking for an outstanding, customer focused AIML Senior Program Manager to support the insights and opportunity analyses for Siri - including the metrics and evaluation methods that measure them. All with the guiding goal of delivering the highest quality user experience that Apple customers expect and love. You have strong program experience with the data and techniques to measure end-to-end user experiences. You have a track record of driving large, complex cross-functional projects which are dependent on innovative data collection and machine learning technologies. You are data-driven, strong analytically and comfortable navigating ambiguity. Apple offers a collaborative work environment that fosters creativity and innovation. Become part of the team and play a key role in delivering and driving improvements to the Siri experience impacting over 1 billion customers.

    Description

    • Drive the implementation and means to operationalize measurement and evaluation methods across the organization - Lead the process for finding opportunities and prioritize initiatives to hill climb on quality - Facilitate regular data insights and Siri metrics reviews with product teams and leadership - Ensure cross-functional alignment and communicate project / product updates to leadership - Collect inputs and requirements from key partners. Help define new approaches to metrics and methods - Work with data science and data engineering teams to develop success metrics and evaluation solutions - Work with annotation operation teams to optimize and lead human data collection and evaluation efforts - Work with engineering, privacy, and legal teams to develop safe data collection

    Minimum Qualifications

    Key Qualifications

    • 5+ years in Program or Project Management leading cross-functional data and software engineering teams and delivering end user facing technology products which are powered by machine learning

    • Strong analytical skills and a curiosity to discover opportunities for impact and a better user experience

    • Ability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment

    • Success in large organizations evangelizing and consensus-building using strong relationship and influence skills

    • Experience in working with teams to develop quality frameworks and defining success metrics

    • Strong communication and presentation skills, written and verbal. Ability to collaborate with senior team leaders

    Preferred Qualifications

    Education & Experience

    BS/MS in EE/CS/CE or equivalent quantitative / engineering degrees.

    Additional Requirements

    • Preferred:

    • BS/MS degree with a focus in machine learning, data mining or statistics

    • Prior product management experience in delivering end user facing technology products

    • Experience rolling out large scale tools and processes

    • Highly skilled at cross-functional management without authority

    • Past program management experience at a top technology company

    Pay & Benefits

    • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (~~~) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

    • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (~~~)

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    Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

    Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

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    Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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