Staff Product Manager, ML Foundations and GenAI

Stripe · 📍 Seattle, San Francisco, New York, US - Remote · Diposting 2026-10-07

FULL_TIME⭐ TERVERIFIKASI

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Stripe is seeking a highly skilled and experienced Staff Product Manager to join our Machine Learning Foundations and Generative AI (GenAI) team. In this role, you will be responsible for driving the product strategy and execution for our advanced machine learning capabilities. This is an exciting opportunity to work on cutting-edge technology that powers financial services globally.

As a Staff Product Manager, you will collaborate closely with engineers, data scientists, and other stakeholders to deliver innovative solutions that enhance our customers' experience and drive business growth. You will have the autonomy to make strategic decisions and the support of a strong team to bring your vision to life.

If you are passionate about machine learning, generative AI, and building world-class products, we encourage you to apply. Join us in shaping the future of financial technology.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

Lead the product strategy and roadmap for ML Foundations and GenAI initiatives.
Work closely with cross-functional teams to define and execute on product requirements.
Gather and analyze user feedback to inform product decisions.
Collaborate with engineers, data scientists, and other stakeholders to deliver high-quality solutions.
Measure product performance and iterate based on data-driven insights.
Represent Stripe at industry conferences and events to showcase our work.
Mentor and coach junior product managers to develop their skills.
Stay up-to-date with the latest advancements in machine learning and AI.

🎓 Kualifikasi & Syarat

Kualifikasi:

Bachelor's degree in Computer Science, Engineering, or a related field.
7+ years of experience in product management, with a focus on machine learning or AI.
Proven track record of delivering successful products in a fast-paced environment.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Experience with Agile methodologies and product development processes.
Familiarity with financial services and payment processing is a plus.
Passion for machine learning, generative AI, and building innovative products.