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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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Define and lead the Financial Services vision and business strategy, developing multi-year strategic and financial plans, identifying growth opportunities, and aligning cross-functional execution.
Own the P&L, delivering on financial targets, managing budgets, and driving operational efficiency across the financial services portfolio.
Build and manage strategic partnerships by identifying, negotiating, and overseeing relationships with associations, banks, fintechs, insurers, and other financial institutions.
Oversee business operations to ensure compliance, governance, and excellence in execution across partner and operational processes.
Shape the customer and partner experience by delivering trusted financial solutions that strengthen engagement and retention across eBay’s marketplace.
Collaborate across eBay by working with product, engineering, legal, risk, and finance to scale and sustain financial services innovation.
Represent eBay Services externally with industry partners and stakeholders to advance eBay’s financial services presence and influence.
15-20 years of progressive leadership experience in Financial Services, Payments, or Business Development, ideally within a global technology or financial organization.
Proven success as a General Manager or Business Unit Leader with direct P&L accountability of over $1B.
Deep knowledge of payments, credit, lending, and insurance ecosystems.
Demonstrated success in strategic partnership management and large-scale negotiations.
Strong commercial, financial, and operational acumen.
Executive-level communication, collaboration, and influencing skills across complex organizations.
Experience building high-performing teams and driving measurable business results.
Bachelor’s or Master’s degree in Business, Finance, or a related discipline.
The base pay range for this position is expected in the range below:
$234,000 - $312,400These 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 .
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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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What you’ll be doing:
Design, develop and support CI processes of various products.
Collaborate with various teams across the globe to promote and improve CI practices.
Build infrastructure for effective, high quality, reliable development and release processes.
Be a part of an experienced team with a great atmosphere.
What we need to see:
B.Sc. (or equivalent experience) in Computer Engineering, Computer Science or related technical discipline
4+ year experience in Software development.
Solid experience with Linux operating system
Experience with Jenkins pipelines embedded with Groovy based libraries
Control of GIT SCM
Proven experience in Docker.
Excellent development abilities in python scripting language
Strong design, coding and debugging skills
High ability to focus on task execution with agility and multitasking
Great teammate
Ways to stand out from the crowd:
Proven background with design and implementation of complex CI/CD pipelines
Proven experience with GitLab and Gerrit SCM administration
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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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