AIML - Sr Engineering Product and Program Manager

Posted: 16 Apr 2024

Role Number:200539712

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that build a positive impact? If so, then we want to speak with you! Play a key role in advancing Apple products by accelerating the adoption of machine learning and empowering engineering teams with insights and data. The AIML PM org is seeking a Sr Product Manager for its Machine Learning Infrastructure & data platform products. The ML platform helps engineering teams across Apple to effectively manage data during the ML lifecycle and power model training. The ultimate goal is to improve product quality and deliver a delightful experience to Apple customers!

Key Qualifications

8+ years experience in a role leading ML Infrastructure data products and cross-functional teams as a product leader
Proven track record of delivering reliable and large-scale ML Infra and data platform products including storage, feature store, data management, data versioning, privacy, data governance, analytics tools, large- scale and high-throughput backend services, and/or user-facing applications that use those services
Strong product and program management and technical skills to effectively drive cross functional programs spanning multiple orgs
Knowledge of cloud technologies and experience in hybrid cloud ML Infra and data platform
Passionate about delivering the best user experience by providing thought leadership on end-to-end user experience for technical products
Strong user empathy and drive to define the product strategy by actively interviewing users & running surveys to shape the product roadmap
Establishes strong partnership with engineering teams by translating user needs into detailed product requirements
Ability to use data and metrics to back up assumptions, make recommendations, drive actions and measure success
Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, drive consensus and lead cross- functional teams under pressure
Outstanding communication and presentation abilities to share the product vision, influence leaders, motivate engineering teams and evangelize the product
Highly developed drive to improve how things work, with a track record of driving improvements for team quality, performance, agility and effectiveness
Experience mentoring product and program managers

Description

You will work closely with cross-functional partners within and outside AIML to define and build the right ML & data platform products. These products serve organization needs with consideration of user privacy. You understand the users, own the problem and can see different angles of a product or business opportunity. You know how to connect the dots and interact with people in various roles and functions. Define product vision and lead innovative products and programs that have broad impact, and lead cross functional teams to deliver exceptional capabilities. Specific Responsibilities Include: - Define the roadmap, and drive adoption of the right scalable and flexible privacy-preserving ML Infra and data platform to empower Apple development teams to effectively ingest, store, process, transform, analyze, and curate data for Machine Learning and analytics - Proactively identify use cases from internal partners, build business cases, define requirements and product specs. Work with cross-functional leaders and partners to establish roadmap - Create a robust feedback loop with partners and users to continuously improve products - Come up with product metrics to measure the success of our data platform in relation to overall MLPT product goals - Evangelize data products and drive platform product adoption - Build relationships across Apple organization and facilitate communication between cross-divisional groups - Be the driver, evangelist, problem-solver, and leader who helps our engineering and operations team gather and use data that makes Apple’s MLPT platform the world’s best for machine learning while aligning with our strong privacy guarantees to our users

Education & Experience

Bachelor's degree in CS/CE/EE or equivalent

Additional Requirements

Experience building ML Infra data products and driving adoption of those products with engineering teams in other organizations/companies
Experience with Data and Machine Learning products is a huge plus
Experience with Data Platform and ML Infrastructure, ML Frameworks like PyTorch and TensorFlow, Jupyter notebooks, Spark, Trino, Flink, SQL, Python or other advanced analytical tools is a plus!
Experience using objectives and key results to drive product outcomes

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 $152,400.00 and $268,200.00, 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.