Apple AI/ML - ML Data Product Manager, ML Platform & Technology in Seattle, Washington
AI/ML - ML Data Product Manager, ML Platform & Technology
Machine Learning and AI
3+ years in a role leading cross-functional teams in product development (e.g. Product/Program/Project Management, or Business Analysis)
Proven track record of delivering large-scale data processing and data analytics tools, including storage, annotation platforms, data processing pipelines, large-scale and high-throughput backend services, and/or user-facing applications that use those services
Passionate about delivering the best user experience to internal users by actively surveying user needs and translating requirements into a feature roadmap
Ability to use data and metrics to back up assumptions, make recommendations and drive actions
Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure
Outstanding communication and presentation abilities, written and verbal
Innate drive to improve how things work, with a track record of driving improvements for team quality, performance, agility, or effectiveness
Build the right scalable and flexible privacy-preserving data platform to empower Apple development teams to effectively collect, store, analyze, and curate data for Machine Learning. This includes defining roadmaps, planning, and execution. Proactively identify use cases from internal partners and define feature requirements and product specs. Work with cross-functional partners and partners to establish roadmaps, and process and feedback loops to continuously improve products Come up with product metrics to measure the success of our data platform in relation to overall MLPT product goals Build relationships across Apple organization and facilitate communication between cross-divisional groups to ensure our tooling and processes are driving MLPT Data product improvement 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
- Experience with the data collection, storage, and annotation methods for Machine Learning products is a huge plus
- Experience with Spark, SQL, Python, R, or other advanced analytical tools is a plus!
- Experience using OKRs to drive product outcomes
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