What are the responsibilities and job description for the Engineering Program Manager, Machine Learning Data Platform, Apple Services Engineering position at Apple?
Summary
Posted:
Weekly Hours: 40
Role Number:200582961
Are you ready to take a pivotal role in shaping Apple’s next-generation products by driving the adoption of machine learning and equipping engineering teams with robust data insights? Join the Apple Data Platform EPM team as a Senior Program Manager, focusing on Machine Learning Infrastructure and data platform products within the Apple Data Platform.
Description
In this role, you’ll oversee a platform responsible for secure data ingestion, storage, management, feature engineering, real-time and batch processing, data transformation, and analytics, among other critical functions. This infrastructure enables Apple’s engineering teams to manage the ML lifecycle effectively, supporting model training and enhancing product quality to deliver a seamless, privacy-centric experience to Apple customers.
You’ll collaborate extensively with cross-functional partners within and beyond the AI/ML landscape, defining and delivering impactful ML and data platform products that meet Apple’s organizational needs. With a deep understanding of user needs, you’ll own complex challenges, exploring all facets of business opportunities, and connecting insights across roles and functions to drive innovative solutions.
Key Responsibilities in Program Management:
* Drive Program Roadmap and Strategy: Define and execute the roadmap for scalable, privacy-preserving ML infrastructure and data platforms, empowering Apple’s development teams to efficiently ingest, store, process, transform, and analyze data for machine learning and analytics.
* Program Ownership and Use Case Identification: Proactively engage with internal partners to identify high-impact use cases, build strong business cases, and define detailed requirements and product specifications. Lead cross-functional discussions with stakeholders to prioritize and establish a strategic program roadmap.
* Establish and Maintain Feedback Loops: Develop and sustain a robust feedback loop with stakeholders, partners, and users to drive iterative improvements, ensuring that products continuously evolve to meet user needs and program objectives.
* Define Success Metrics: Develop and monitor key product metrics that align with broader ASE product goals, enabling clear measurement of data platform success and impact.
* Champion Product Adoption and Evangelism: Act as a primary advocate for data products, leading efforts to promote platform adoption, ensuring awareness, and aligning stakeholders on the platform’s value across the organization.
* Foster Cross-Functional Relationships: Build strong, collaborative relationships across Apple, facilitating seamless communication between divisions and fostering a unified approach to program goals.
* Lead as a Program Evangelist and Problem Solver: Serve as the driver, advocate, and problem-solver for the engineering and operations teams, ensuring they have the data and resources needed to make Apple’s cloud platform the best for machine learning, while upholding Apple’s unwavering privacy standards.
Minimum Qualifications
- Program management in ML Infrastructure: 7 years of experience leading ML infrastructure data products and managing cross-functional teams as a program manager, with a focus on driving impactful programs from concept to delivery.
- Proven Delivery of Large-Scale Solutions: Demonstrated success in delivering reliable, large-scale ML infrastructure and data platform products, including data storage, feature store, data management, data versioning, privacy, governance, analytics, and backend services that support high-throughput, user-facing applications.
- Technical Expertise in Cloud and Hybrid Platforms: Solid understanding of cloud technologies and experience in building hybrid cloud ML infrastructure and data platforms.
- User-Centric Program Strategy: Passionate about optimizing the user experience, providing thought leadership to enhance end-to-end user interactions for technical products.
- BS with 4 years or MS
Key Qualifications
Preferred Qualifications
- Proven Experience in ML Infrastructure Product Development: Skilled in building ML infrastructure data products and driving their adoption with engineering teams across diverse organizations.
- Expertise in Data and Machine Learning Products: Strong background in developing and managing data and machine learning products is highly advantageous.
- Technical Proficiency in ML and Data Tools: Familiarity with ML infrastructure, frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python, and other advanced analytical tools is a significant asset.
- Outcome-Driven Program Management with OKRs: Experienced in using OKRs (Objectives and Key Results) to drive clear, measurable product outcomes aligned with program goals.
- Exceptional Program Management Skills: Strong program management capabilities with the ability to coordinate complex, cross-functional programs across multiple organizations effectively.
- Partnership with Product and Engineering: Skilled in building strong partnerships with product and engineering teams by translating user needs into detailed, actionable feature requirements.
- Data-Driven Decision Making: Uses data and metrics to support assumptions, make informed recommendations, drive actions, and measure outcomes.
- Proactive and Strategic Problem-Solving: Self-motivated, independent, and proactive, with a creative and critical thinking approach; adept at triaging, prioritizing, building consensus, and leading cross-functional teams in high-pressure situations.
- Continuous Improvement Mindset: Proven track record in driving initiatives to enhance team quality, performance, agility, and effectiveness.
- Mentorship and Team Development: Experienced in mentoring and developing program and product managers, fostering growth and building team capabilities.
Education & Experience
Additional Requirements
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 $157,000 and $278,900, 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.
Salary : $157,000 - $278,900
