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Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
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Apple • Cupertino, California, United States
Apple is seeking a Senior Product Manager to lead the development of machine learning lifecycle tools for their AI/ML initiatives. You'll collaborate with internal teams to enhance developer experiences and accelerate feature development. This role requires 10+ years of product management experience in technical enterprise products.
You have over 10 years of product management experience in technical enterprise products, particularly in the realms of data and AI. Your educational background includes a Bachelor's degree in Computer Science, Electrical Engineering, Math, or a related field, and a Master's degree is a plus. You possess a strong understanding of machine learning technologies, MLOps, and data platforms, which enables you to effectively communicate with engineering teams and understand their workflows and pain points.
Your experience includes working closely with ML researchers and engineers, allowing you to grasp their use cases and improve their developer experience. You are a strategic problem solver who thrives in collaborative environments, and you are passionate about building production ML pipelines and features that enhance user experiences across Apple's services.
You are a self-starter who takes initiative and drives projects forward. Your ability to navigate complex technical discussions and translate them into actionable product strategies sets you apart. You understand the importance of user feedback and data-driven decision-making in product development, and you are committed to delivering high-quality solutions that meet user needs.
Experience in a leadership role within product management is highly desirable, as is familiarity with generative AI features. You have a track record of successfully launching products that leverage machine learning technologies, and you are comfortable working in fast-paced environments where innovation is key.
In this role, you will lead the development of machine learning lifecycle tools that empower Apple's ML researchers and engineers. You will collaborate with internal teams to identify their needs and pain points, ensuring that the tools you develop enhance their workflows and accelerate feature development. Your responsibilities will include defining product roadmaps, conducting user research, and prioritizing features based on user feedback and business goals.
You will work closely with engineering teams to translate technical requirements into product specifications, ensuring that the final products meet the highest standards of quality and usability. Your role will involve regular communication with stakeholders to align on project goals and timelines, as well as presenting updates and insights to senior leadership.
You will also be responsible for analyzing market trends and competitive products to inform your product strategy. By leveraging your expertise in machine learning and data engineering, you will drive innovation and ensure that Apple's AI/ML initiatives remain at the forefront of the industry.
Apple offers a dynamic work environment where your ideas can turn into impactful products and services. You will have the opportunity to work with some of the brightest minds in the industry and contribute to projects that enhance user experiences across a wide range of Apple services. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.
You will receive competitive compensation and benefits, along with opportunities for professional growth and development within the company. Join us in shaping the future of AI and machine learning at Apple, where your contributions will make a difference in the lives of millions of users worldwide.
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