Software Product Manager - Nemotron

NVIDIASanta Clara, CA
32d

About The Position

Open large language models (LLMs), neural networks, are an exciting new area of capabilities. To bring AI to life, these models need to be created, trained and deployed with general expertise and domain specific knowledge. These models runs inside applications in the datacenter or at the edge, such as in automobiles, drones, medical devices, and more. Some of the common applications cover reasoning for agentic tasks, instruction following, tool calling, scientific question answer, and others. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody! As the Nemotron Product Manager, you will lead key pieces of NVIDIA's portfolio of software that are enabling state of the art accuracy and performance for LLMs across pre-training, fine-tuning with LoRA, RLHF, and SFT and inference deployment for Enterprise adoption. Nemotron opens for the community various model checkpoints, datasets, and training techniques to help grow adoption. You will engage with customers, define products and roadmaps, develop business strategy, devise market positioning, and take your products to market. Our product team is passionate about deep learning use cases to drive the company's strategy. We need a self-starter to continue to grow this area and work with customers, who are helping define the future of AI.

Requirements

  • BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus.
  • 15+ 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

Nice To Haves

  • Experience working with Large Language Models, specifically with setting evaluation tasks as well as curating data, training or fine-tuning, to increase model capabilities

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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service