Technical Product Manager, RAPIDS

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. The world of computing is constantly evolving, and we believe that data scientists and engineers should be able to seamlessly accelerate their applications and workflows. RAPIDS, the open source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C++ APIs. Today, Python is the world’s most popular programming language. It’s used for science, engineering, data analytics, deep learning, and more. We’re looking for an outstanding Technical Product Manager to help drive the development of RAPIDS in the PyData ecosystem. As a RAPIDS Product Manager, you’ll work with a community of developers, data scientists, and NVIDIA’s world-leading engineering teams to help shape the future of accelerated computing in the Python data science ecosystem.

What you’ll be doing:

• Define and Prove - Bring together insight and market analysis to help shape how NVIDIA enables accelerating computing in the PyData ecosystem

• Product Discovery - Understand library developers, data scientists, and engineers to discover underlying needs and incorporate them into roadmaps and priorities

• Build and Deliver - Work closely with engineering to align priorities, define requirements, and execute

• Sense and Respond - Engage with customers, foster strategic partnerships and integrations, present at conferences, understand product quality, and monitor critical bugs

• Product Launches – Collaboratively develop and execute cross-functional go-to-market strategies spanning marketing, developer relations, PR, sales, etc.

• Asset Creation – Work with engineering, marketing, and field teams to define positioning and create technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition

What we need to see:

• Bachelor’s Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience

• 8+ years of experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role

• Hands on work with data science, data engineering, or machine learning problems within the PyData world

• Excellent balance of deep technical and business knowledge of the data analytics space

• Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy

• World-class communication skills with a proven ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

• Experience collaborating with and contributing to open-source projects in the PyData ecosystem

• Served as a product manager for a Python-based product

• Strong programming skills and familiarity with CUDA and GPU fundamentals

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

The base salary range is 156,000 USD - 247,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.