
Senior Customer Success Operations Manager
Santa Clara, CAFull-time$176–276K/yrPosted 2 days agoStill listed today
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At a glance
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Job overview
NVIDIA seeks a Senior Customer Success Operations Manager to scale its Customer Success operating model through digital solutions that improve customer and partner adoption and value realization. The role leads Digital Customer Success solutions, translating strategy into workflows, automations, and digital experiences. It partners across Customer Success, Engineering, Product, IT, Sales Operations, and external teams to design and operationalize capabilities, including production-grade solutions and emerging AI-enabled tools.
Skills & qualifications
Skills
Qualifications
Full job description
We are seeking an innovative Senior Customer Success Operations Manager to help scale NVIDIA's Customer Success operating model through digital solutions that improve customer and partner platform adoption and value realization.
In this hands-on role, you will serve as the technical lead for Digital Customer Success, translating strategy into scalable operational solutions that accelerate platform adoption. Working closely with Customer Success Strategy and Business Insights leads, you will assess processes, workflows, systems, and data models across NVIDIA to design, build, and operationalize digital customer journeys. You will develop workflows, prototypes, automations, and other digital assets where appropriate, while partnering with Engineering, Product, IT, Sales Operations, Tech Operations, and external partners to deliver production-grade capabilities that enhance customer and partner adoption and engagement.
What you'll be doing:
- Develop a deep understanding of Customer and Partner adoption-related processes, systems, workflows, and data structures throughout NVIDIA to find opportunities for scaling post-sales journeys.
- Partner with Customer Success Strategy and Insights leads to convert post sales adoption strategies and insights into scalable digital solutions, workflows and technical requirements.
- Determine how enterprise systems, data, and adoption signals can be leveraged to enable and automate digital customer journeys.
- Partner with Sales Operations, IT, Product, and other teams to design and deploy Customer Success workflows and digital capabilities across enterprise systems.
- Build and deliver digital Customer Success experiences and assets, including videos, prototypes, lightweight automations, and self-service resources.
- Evaluate and help operationalize digital solutions using AI agents, automation, and other emerging capabilities, to improve onboarding, adoption, engagement, and value realization.
- Partner with Engineering, Tech Operations, and external partners to drive solutions requiring production development, including requirements, technical validation, UAT, deployment readiness, and continuous improvement.
What we need to see:
- BS degree or equivalent experience
- 12+ years of experience in Customer Success, Customer Success Operations, Solutions Consulting, Product Operations, Business Systems, or similar roles.
- Strong understanding of sophisticated business processes, enterprise platforms, operational procedures, and data architectures, with the ability to translate them into scalable digital solutions.
- Hands-on experience designing and implementing scalable Customer Success or post-sales workflows, automations, and technology-enabled experiences.
- Experience partnering with Engineering, Product, IT, Sales Operations, and implementation teams on enterprise technology initiatives.
- Experience with Generative AI, AI agents, workflow automation, CRM, APIs, integrations, and enterprise SaaS platforms.
- Excellent communication, partner coordination, analytical, and problem-solving skills!
Ways to stand out from the crowd:
- Background with NVIDIA AI technologies and platforms.
- Experience with ServiceNow or similar Customer Success workflow platforms.
- MS in Computer Science or equivalent experience in a related professional background.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 176,000 USD - 276,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
How this job compares
Set against the 3,890 open Customer Success jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This posting$176–276K/yr
- California median$150–200K/yr474 salary ranges
- US median$110–178K/yr2,825 salary ranges
This range's midpoint, $226K, is 31% above the California median midpoint ($173K) — in the top quarter of Customer Success salary ranges in California.
- Openings
- Olive Jobs lists 631 open Customer Success jobs in California and 3,890 across the US. 16% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Amazon29 open
- Intuit11 open
- Salesforce11 open
- Experience
- This posting asks for at least 12 years of experience — more than three in four Customer Success postings that state a minimum ask for (median 5 years, across 2,989 postings).
- Education
- 708 of the 3,890 open Customer Success jobs (18%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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