Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
CRM @ 4
Communication @ 6
Data Structures @ 7
GenAI
Generative AI @ 4
ServiceNow @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an innovative technology-focused Customer Success Operations Manager to help scale its 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. You will work with Customer Success Strategy and Business Insights leads to assess processes, workflows, systems, and data models across NVIDIA and design, build, and operationalize digital customer journeys. The role includes developing workflows, prototypes, automations, and other digital assets while partnering with Engineering, Product, IT, Sales Operations, Tech Operations, and external partners to deliver production-grade capabilities.
Responsibilities
- Develop a deep understanding of customer and partner adoption processes, systems, workflows, and data structures to identify opportunities for scaling post-sales journeys.
- 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 on solutions requiring production development, including requirements, technical validation, user acceptance testing, deployment readiness, and continuous improvement.
Requirements
- Bachelor's degree or equivalent experience.
- At least 8 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.
Preferred Qualifications
- Background with NVIDIA AI technologies and platforms.
- Experience with ServiceNow or similar Customer Success workflow platforms.
- Master's degree in Computer Science or equivalent experience in a related professional background.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
- Applications will be accepted at least until August 4, 2026.
- NVIDIA uses AI tools in its recruiting processes.