Apple
Cupertino, California, United States Software and Services
Description
- Act as product owner for the machine learning models underlying our privacy-preserving search and recommendation systems.- Define success criteria and product requirements for our models by cultivating a deep understanding of the relationship between our models and business / customer outcomes.- Formulate clear and measurable hypotheses for how to improve success metrics, work with engineering and data science teams to test hypotheses, and make decisions based on experiment results.- Synthesize insights from data analysis, customer calls, and sales feedback into clear and concise opportunity areas and develop short-term and long-term roadmaps around these opportunity areas.- Collaborate with engineering, data science, and research teams to develop, launch, evaluate, and improve search and recommendation system models.- Collaborate with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our model.- Produce high-quality 1-pagers, product requirements, and presentations, to convey opportunity areas, experiment results, recommendations, and product strategy to cross-functional teams and leadership on a regular basis. Minimum Qualifications
Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, justify product opportunities, and measure success. Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership. Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them. Customer-centric attitude, with the ability to define and prioritize use cases and customer objectives. Strong track record of collaborating with engineering and data science teams to develop, launch, and improve machine learning models. Excels in a fast-paced environment with a high degree of ownership and accountability. Bachelors degree in a relevant field or equivalent experience. Preferred Qualifications
3+ years of Product Management experience. Previous experience working on search and/or recommendation systems or another consumer product that uses machine learning. Previous experience working in digital advertising and/or familiarity with digital advertising concepts through usage of ad platforms. 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 $143,100 and $264,200, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 seek to promote 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 . #J-18808-Ljbffr
- Act as product owner for the machine learning models underlying our privacy-preserving search and recommendation systems.- Define success criteria and product requirements for our models by cultivating a deep understanding of the relationship between our models and business / customer outcomes.- Formulate clear and measurable hypotheses for how to improve success metrics, work with engineering and data science teams to test hypotheses, and make decisions based on experiment results.- Synthesize insights from data analysis, customer calls, and sales feedback into clear and concise opportunity areas and develop short-term and long-term roadmaps around these opportunity areas.- Collaborate with engineering, data science, and research teams to develop, launch, evaluate, and improve search and recommendation system models.- Collaborate with privacy, engineering, and business teams to develop novel privacy-preserving strategies for collecting information for use in our model.- Produce high-quality 1-pagers, product requirements, and presentations, to convey opportunity areas, experiment results, recommendations, and product strategy to cross-functional teams and leadership on a regular basis. Minimum Qualifications
Proficiency in SQL and experience in analyzing complex, large-scale data sets to form hypotheses, evaluate experiment results, justify product opportunities, and measure success. Exceptional written and verbal communication skills, with the ability to clearly and concisely convey results and opportunity areas to cross-functional teams and leadership. Proven experience in defining measurable and interpretable success metrics and rallying cross-functional teams to achieve them. Customer-centric attitude, with the ability to define and prioritize use cases and customer objectives. Strong track record of collaborating with engineering and data science teams to develop, launch, and improve machine learning models. Excels in a fast-paced environment with a high degree of ownership and accountability. Bachelors degree in a relevant field or equivalent experience. Preferred Qualifications
3+ years of Product Management experience. Previous experience working on search and/or recommendation systems or another consumer product that uses machine learning. Previous experience working in digital advertising and/or familiarity with digital advertising concepts through usage of ad platforms. 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 $143,100 and $264,200, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 seek to promote 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 . #J-18808-Ljbffr