NVIDIA

2 months ago

Senior Product Manager, AI Platform and Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead strategic AI platform initiatives across infrastructure, silicon, and developer experience. Define product vision and execution for AI observability, profiling, agentic automation, and AI-native developer workflows; partner with engineering, architecture, and design to deliver AI-powered capabilities that accelerate engineering velocity while ensuring performance and reliability across large-scale systems.

Location: Santa Clara, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps.
•Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities.
•Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities.
•Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact.
•Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience.

Pay and Benefits

Salary: USD 208,000 - 327,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
•12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale.
•Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences.
•Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance.
•Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations.

Experience:12+ yearsAI platformDeveloper platformsInfrastructureAI/ML systems

Education:Bachelor's

Tech Stack:AILLMAgentsObservabilityProfilingInferenceGPUDistributed trainingArchitectureSDLC tooling

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior Product Manager, AI Platform and Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Santa Clara, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps.
•Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities.
•Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities.
•Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact.
•Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience.

Pay and Benefits

Salary: USD 208,000 - 327,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
•12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale.
•Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences.
•Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance.
•Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations.

Experience:12+ yearsAI platformDeveloper platformsInfrastructureAI/ML systems

Education:Bachelor's

Tech Stack:AILLMAgentsObservabilityProfilingInferenceGPUDistributed trainingArchitectureSDLC tooling

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor