Senior Software Product Manager, Nemo LLM Microservices
at Nvidia
📍 Santa Clara, United States
$204,000-379,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Machine Learning @ 4 Communication @ 4 Product Management @ 8Details
Deep Learning is an exciting new area of machine learning. To bring AI to life, neural networks need to be trained and deployed with domain specific knowledge. Training and inference runs inside applications in the datacenter or at the edge, such as in automobiles, drones, medical devices, and more. Some of the common applications using NVIDIA deep learning software are image classification, object detection, recommendations, conversational virtual assistants, and reinforcement learning. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody!
Responsibilities
- Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product.
- Market intelligence: Understand the developers, partners, and competitors.
- Build and Deliver: Collaborate with engineering to promote the customer’s needs through setting feature priorities across roadmaps.
- Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugs.
- Marketing content creation: Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition.
- Product launches: Define the go-to-market strategy and provide guidance to the cross-functional implementation of the plan across marketing, public relations, and sales.
Requirements
- BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus.
- 12+ years of technical product management, or similar, experience at a technology company.
- Passion for delivering software, libraries and SDKs.
- Proven track record of teamwork across teams, customers, and partners.
- Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences.
Ways to stand out from the crowd:
- Experience working with Large Language Models, specifically with curating data, training or fine-tuning, and using guard rails for topical content generation, eliminating insecure generation requests, and helping guide safety content.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you’re creative and autonomous, we want to hear from you!