Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Nvidia Product Manager Enterprise Technology 
United States, California 
996527609

24.06.2024

What you will be doing:

  • Collaborate with internal partners to understand and prioritize product requirements. Translate the needs into clear and actionable product specifications, user stories, and acceptance criteria.

  • Solve complex, technical problems with creative solutions while managing tradeoffs.

  • Conduct user research, analyze problems and present actionable insights to senior leadership.

  • Conduct compelling, data-based arguments to convince others and generate progress with important results.

  • Bring user-centric perspectives to discussions about product, establish and articulate design strategy and end-to-end product experience.

What we need to see:

  • Bachelor’s degree or equivalent experience. Preferably graduate degree in Computer Science, MBA or other related product management fields.

  • 10+ years of experience in Technical Product Management, shipping either customer facing or employee facing products by working with engineers, designers, and data scientists resulting in significant business impact.

  • Demonstrated hands-on product management expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.

  • Outstanding communication skills, and excellent problem-solving skills.

Ways to stand out from the crowd:

  • Former engineering background and hands on prototyping & product design mock-up skills.

  • Be able to thrive and succeed in a fast paced environment, and not be hindered by ambiguity or multiple priorities.

  • Demonstrated outstanding organization skills, attention to detail in writing product specifications, and excellent writing skills to publish case studies, and papers.

  • Hands-on expertise and understanding of NVIDIA software strategy & products, familiarity of working with LLMs, Retrieval Augmented Generation (RAGs), open-source frameworks such as Lang Chain, Langflow, Langsmith etc.

You will also be eligible for equity and .