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As a Senior Product Manager, you will define and lead the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What You Will Accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Exceptional leadership, communication, and collaboration skills across technical and non-technical teams.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$124,000 - $208,300These jobs might be a good fit

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As a Senior Product Manager, you will define and own the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What you will accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$108,000 - $186,900These jobs might be a good fit

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What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
These jobs might be a good fit

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What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
These jobs might be a good fit

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$156,000—$234,000 USDThese jobs might be a good fit

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$135,800—$203,600 USDThese jobs might be a good fit

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What you’ll be doing:
Collaborating with business development in guiding the customer through the solution adoption process for our Metropolis, Isaac and IGX AI SW platforms, GPU Computing and IGX/Jetson, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA
Be an industry leader with vision on integrating NVIDIA technology into intelligent machines’ architectures
You will engage with customers to develop a keen understanding of their goals, vision and plans, as well as technical needs – and help to define and deliver high-value solutions that meet these needs
Train customers on the adoption of our AI platforms, develop and optimize proof of concepts using the Nvidia robotics and Metropolis platforms as well as the Jetson/IGX SDKs
Establish positive relationships and communication channels with internal teams
What we need to see:
BS or MS in Electrical Engineering or Computer Science or equivalent experience
8+ years of work-related experience in a high-tech electronics industry in a similar role as a systems or solution architect
AI practitioner experience
C, C++, and Python coding
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Ways to stand out from the crowd:
NVIDIA GPU development experience
Experience with Omniverse, ISAAC and Metropolis
Experience with generative AI on Jetson or IGX, RIVA, VSS
You will also be eligible for equity and .
These jobs might be a good fit

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As a Senior Product Manager, you will define and lead the strategy for how we design, build, and scale AI-powered help experiences. You will work closely with design, engineering, data science, and operations to turn emerging AI capabilities into simple, trusted, and impactful products for customers and the business.
What You Will Accomplish:
Define the product strategy, roadmap, and execution for AI Agents and composable AI platforms.
Use data and experimentation to guide decisions, measure impact, and drive continuous improvement.
Turn customer and business needs into clear, actionable product direction and requirements.
Bring data, insights, and industry trends to inform and improve the product experience.
Partner closely with design, engineering, and data science to deliver reliable, high-quality products at scale.
Build alignment and strong partnerships across teams to stay focused on shared goals.
Keep the customer at the center of every product decision.
What You Will Bring:
6+ years of product management experience, with at least 2 years in AI/ML or data-driven products.
Experience applying AI to improve customer experiences and solve real customer problems (e.g., conversational AI).
Skilled at using data and insights to uncover opportunities, drive prioritization, and measure success.
Technical fluency and foresight to collaborate with engineers.
High ownership mindset with a bias for action and focus on creating customer and business impact.
Exceptional leadership, communication, and collaboration skills across technical and non-technical teams.
Experience building 0→1 products and navigating ambiguity with confidence.
Experience in customer support or self-service domains is a plus but not required.
The base pay range for this position is expected in the range below:
$124,000 - $208,300These jobs might be a good fit