Lead a product marketing team to guide strategy, positioning, and market launch activities for the infrastructure layer of NVIDIA DSX OS, supporting Kubernetes and higher-level AI platforms.
Responsibilities
Craft the infrastructure marketing roadmap.
Specify primary audiences, use cases, positioning, and go-to-market investments for the DSX OS infrastructure portfolio.
Outline distinct adoption paths for cloud operators and software partners.
Lead and develop the team, managing a team of product marketers.
Set priorities, develop technical and strategic depth, mentor talent, and build accountability for customer adoption and business impact.
Lead the strategy, positioning, and market launch activities for the infrastructure layer of NVIDIA DSX OS, focusing on infrastructure software spanning provisioning, lifecycle management, virtualization, networking, and storage.
Responsibilities
Craft the infrastructure marketing roadmap: specify primary audiences, use cases, positioning, and go-to-market investments for the DSX OS infrastructure portfolio.
Lead and develop the team: Manage a team of product marketers, set priorities, and mentor talent.
Own the infrastructure narrative: Explain how infrastructure software links accelerated computing, networking, storage, power, and cooling to reliable cloud operations.
Translate technical depth into operator value: Develop messaging across bare-metal provisioning, firmware, OS lifecycle, GPU virtualization, multi-tenant infrastructure, security, and telemetry.
Build strategy through customer and market insight: Develop relationships with infrastructure leaders at NVIDIA Cloud Partners, hyperscalers, and software companies.
Requirements
Bachelor’s degree in engineering, computer science, business, or a related field, or equivalent experience
Nice to have: Advanced technical degree
Nice to have: MBA
Nice to have: Experience marketing infrastructure platforms used to provision and operate large GPU fleets or multi-tenant clouds
Nice to have: Systems architecture
Skills
Inside Solution Engineer - Edge AI and Advanced Compute Practice
The Inside Solution Engineer provides remote technical support to HP's field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements.
Compensation
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Responsibilities
Provide remote technical assistance with solution design, product capabilities, configurations, compatibility, and deployment considerations for Edge AI and Advanced Compute engagements.
Support demonstrations, proofs of concept, pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
Develop technical responses, configuration guidance, bills of materials, and supporting documentation in partnership with field Solution Engineers.
Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
Lead and scale developer programs in agriscience, engaging ecosystems, advocating NVIDIA technologies, and driving adoption across verticals.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field
Nice to have: building vertical-specific solutions
Lead and scale developer programs in agriscience, champion NVIDIA technologies, and drive adoption across the developer ecosystem.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience)
Nice to have: building vertical-specific solutions
Nice to have: real-time processing
Nice to have: low-latency decision-making
Nice to have: designing and implementing systems for real-time processing
Lead executive technical engagement to shape AI infrastructure strategy and accelerate strategic partnerships and customer adoption across global markets.
Compensation
SingleStore’s base salary range for this role, if based in States: $120,000- $175,000 USD per year
Responsibilities
Lead executive technical engagement and build trusted relationships with partner and customer CTOs, architects, engineering leaders, and AI infrastructure teams
Advance strategic partnerships by establishing technical alignment, defining joint value propositions, and developing integration, validation, and go-to-market plans
Drive strategic field pursuits by partnering with sales and technical teams on high-priority opportunities, leading architecture discussions, technical workshops, proofs of value, and executive presentations
Architect for production AI by guiding infrastructure designs for inference, retrieval-augmented generation, and agentic workflows, addressing compute, storage, networking, data access, orchestration, security, reliability, and cost
Translate field needs into product requirements by working closely with product management and engineering to identify capability gaps, prioritize AI-related requirements, and inform roadmap decisions
NVIDIA seeks a Senior Account Manager in Italy to help us develop and speed up AI applications across industries. This role involves working with top companies, OEMs, system integrators, and AI-focused firms to develop new business models and scalable solutions.
Compensation
The expected cash compensation ranges for this position are 114,000 EUR – 197,600 EUR for Level 4; and 144,750 EUR – 250,900 EUR for Level 5.
Responsibilities
Lead strategic business development across Industries spotting high-impact opportunities where NVIDIA's accelerated computing, AI, simulation, and robotics platforms transform workflows and develop new markets.
Build and orchestrate ecosystems across enterprises, partners, software providers, system integrators, cloud partners, startups, and AI-native technology companies, crafting mutually reinforcing partnerships around NVIDIA's platform.
Develop and complete strategic customer and partner engagements that move opportunities from technology exploration and proof-of-concept through industrial deployment and scaled adoption.
Keep an in-depth and constantly updated understanding of the Spanish ecosystem including AI-native startups, robotics scale-ups, venture-backed firms, technology disruptors, and new business models.
Translate technology developments into executive-level arguments and strategic narratives, demonstrating how NVIDIA's platform can build measurable value across the industrial value chain.
Requirements
Inside Solution Engineer - Edge AI and Advanced Compute Practice
The Inside Solution Engineer provides remote technical support to HP's field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements. serving as a technical liaison between the field and the Global Business Unit (GBU).
Compensation
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Responsibilities
Provide remote technical assistance with solution design, product capabilities, configurations, and deployment considerations for Edge AI and Advanced Compute engagements.
Support demonstrations, proofs of concept (POCs), pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
Serve as the field technical liaison to GBU product management, engineering, and support teams for product questions, defects, compatibility gaps, and solution limitations.
Requirements
Nice to have: HP compute platforms
Nice to have: Linux
Nice to have: Windows
Nice to have: Kubernetes
Nice to have: APIs
Inside Solution Engineer - Edge AI and Advanced Compute Practice
The Inside Solution Engineer provides remote technical support to HP's field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements.
Compensation
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Responsibilities
Provide remote technical assistance with solution design, product capabilities, configurations, compatibility, and deployment considerations for Edge AI and Advanced Compute engagements.
Support demonstrations, proofs of concept (POCs), pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
Serve as the field technical liaison to GBU product management, engineering, and support teams for product questions, defects, compatibility gaps, and solution limitations.
Director, AI Infrastructure & Strategic PartnershipsSingleStore · US
Inside Solution Engineer - Edge AI and Advanced Compute PracticeHP · Remote, US