AIML - Sr Engineering Program Manager, Synthetic Data
Location
Cupertino, CA | United States
Job description
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!
As a member of the AIML Data EPM group, you will be responsible for Apple’s ability to use data to power its products for hundreds of millions of users around the world. In this role, you will focus on driving AIML’s synthetic data generation for Apple’s foundation models. Synthetic data is an integral aspect of our product development. We're looking for an experienced hands-on program manager who can flex into product management as needed, to partner with data engineering, data science, product, and client engineering teams.
Do you have a track record of successful program management across complex initiatives? Have you worked on high visibility projects, and brought structure to high-level mandates in a constantly evolving environment? Are you passionate about driving the technical projects vital to efficiently scale our development and understanding of our products in privacy compliant ways? We would love to talk to you.
Key Qualifications
- 7+ years project management, engineering management, and/or QA/QC engineering experience for software development quality in a fast paced, incredibly sophisticated service.
- Technical program management or engineering ownership of data collection, pipelines, or tools used by internal engineering teams; experience driving on roadmaps/long-term strategy of internal tools & systems.
- Experience gathering, analyzing, and presenting data and metrics to back up assumptions, make recommendations and drive actions.
- Career examples of hands-on involvement of delivering instrumentation, data platforms, data tools, or data processes that improved the customer experience.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure.
- Outstanding communication and presentation skills, written and verbal, to all levels of an organization.
Description
- Manage synthetic data requirements, streamline processes, crate frameworks that deliver across different teams, and support and maintain the operations of those processes.
- Own program and project planning for partner Data Engineering team, including gathering requirements, scoping effort, prioritization and resource allocation, blocking and tackling, and schedule of deliverables.
- Contribute to product definition with partner Data Engineering and customer engineering teams, identifying and understanding customer needs and priorities, and developing roadmap.
- Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.
- Build and run processes that allow for the maximum agility and adaptation across data engineering teams to collect data and understand our products.
- Build relationships across the AIML organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple.
Education & Experience
BS/MS EE/CS/CE or equivalent
Additional Requirements
- Bonus if you have prior data analysis experience (SQL, Python/Jupyter Notebooks, Tableau, Superset)
- Bonus if you have prior experience exploring data formats and tools for big data systems (e.g. Parquet, Avro, Protobuf).
- Bonus if you have prior experience working with data engineers (e.g. engineers who use tools such as Airflow, Luigi, Jenkins, MapReduce, Pig, Spark, Hadoop, Hive, HBase, Greenplum, Vertica, etc.)
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 $160,700.00 and $282,500.00, 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.
- Manage synthetic data requirements, streamline processes, crate frameworks that deliver across different teams, and support and maintain the operations of those processes.
- Own program and project planning for partner Data Engineering team, including gathering requirements, scoping effort, prioritization and resource allocation, blocking and tackling, and schedule of deliverables.
- Contribute to product definition with partner Data Engineering and customer engineering teams, identifying and understanding customer needs and priorities, and developing roadmap.
- Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.
- Build and run processes that allow for the maximum agility and adaptation across data engineering teams to collect data and understand our products.
- Build relationships across the AIML organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple. BS/MS EE/CS/CE or equivalent
Job tags
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