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Apple Technical Product Manager United States, Oregon, Beaverton 250771934
06.06.2024
Description
In this role, you will drive demands to product implementations. You will identify, develop, and implement new methodologies that support DMP development. Typical responsibilities will include:- Work with all partners to refine methodology proposals to add maximal value with minimal overhead- Develop methodologies proposals, build concepts, and lead function design- Maintain methodologies once in service to ensure their continued use and acceptable level of quality- Undergo continuous improvement of new methodologies implemented and pre-existing methodologies- Facilitate decision making with relevant partners and drive all open items to closure- Identify risks, generate mitigation plans, and ensure appropriate steps are taken to resolve- Track outstanding actions required to achieve desired timelines- Facilitate communication and collaboration needed to progress product/platform development- Communicate status across different multi-functional groups and management levels, as appropriate - from individual contributors to executive management
Key Qualifications
- 3 + years of experiences in product management with capability in bringing a product from concept to completion, ideally working on data platform, machine-learned systems, and/or sophisticated backend and front-end systems
- 2+ years of experiences in project management with examples of successful methodology's identification, development and implementation
- Understands and deals well with development cycles
- Excellent oral and written communication skills in both Mandarin and English, presentation skills with various audience and levels
- Excellent listening skills, can rapidly get up to speed with new ideas and technologies
- Equally comfortable in big-picture strategy and deep technical discussions
- Can work collaboratively and multi-functionally throughout the entire organization
- Able to influence others without authority and build trust with other teams
- Experience in crafting or using efficiency tools
- Validated creative and critical thinking capabilities
- Experiences in product design of algorithm based analytics or business digitalization
- Proven understanding in data science or machine learning is a plus
Education & Experience
M.S. in Computer Science, Data Science, Machine Learning or related field or B.S. with equivalent industry experiences
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