This role pays less than
67%
of similar roles. Most pay
$178,537–$256,275
— the shaded band above.
At the midpoint, this role pays about
$191k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
867 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 849 roles with salary data.
As a Senior Technical Product Marketing Manager, Nemotron, you will join the team to develop market strategy and manage the entire launch-to-adoption process for Nemotron models. You will be responsible for translating technical product capabilities, performance metrics, and customer feedback into data-driven narratives and field-ready proof points for developers, enterprises, and ecosystem partners. Your daily work involves directing positioning, messaging, and entry strategies while creating enablement assets like solution briefs, demos, and partner toolkits. You will collaborate with engineering and research teams to convert technical roadmaps into compelling stories and manage adoption programs across cloud providers and systems integrators. The role requires expertise in AI/ML, accelerated computing, and developer platforms. You must be able to communicate complex technical trade-offs regarding LLMs, inference performance, and model customization to diverse technical and business audiences.
Develop positioning, messaging, and market entry strategies for Nemotron models targeting developers and enterprise partners.
Translate technical product capabilities and performance data into differentiated, data-driven narratives and field-ready proof points.
Own the launch strategy and execution for model releases, product updates, and customer adoption programs.
Convert technical roadmaps from engineering and research teams into compelling market stories and launch plans.
Create enablement assets including sales presentations, solution briefs, demo materials, and executive content.
Collaborate with cloud providers and partners to identify priority workloads and build repeatable adoption motions.
Gather and analyze customer and developer feedback to influence product priorities and future marketing investments.
Define and track success metrics for launches while reporting results to cross-functional and executive leadership.
What we're looking for
8+ years of experience in product marketing, product management, technical marketing, or similar go-to-market roles within AI/ML, cloud platforms, developer tools, or enterprise software.
Bachelor’s degree or relevant experience in engineering, computer science, marketing, business, or a related field.
Technical proficiency in AI/ML, accelerated computing, and developer platforms to explain technical tradeoffs and performance claims.
Proven history of leading positioning, market entry strategy, and cross-functional launches while converting technical advantages into customer benefits.
Excellent written, verbal, and presentation skills for technical, business, and executive audiences.
Ability to independently prioritize work, navigate uncertainty, and lead through influence.
Experience marketing AI models, inference platforms, developer software, or open-source technologies to technical audiences (preferred).
Practical knowledge of LLMs, reasoning/agentic AI, model evaluation, inference performance, or model customization (preferred).
GPU Architecture
NVLink
NVL72
AI Inference
System Architecture
Liquid Cooling
Power Delivery
Thermal Management
Rack-scale Systems
Accelerated Computing
CPU/GPU Co-design
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architectures
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architecture