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
Communication @ 7
GPU @ 4
Hiring @ 4
Leadership @ 4
Machine Learning
Prioritization @ 4
Reporting @ 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’s DGX Cloud organization builds and operates AI infrastructure supporting generative models, autonomous systems, and large-scale research. The Business Operations Technical Program Manager will establish data-driven planning, reporting, fiscal, and personnel mechanisms that help leadership make clear decisions and enable the organization to operate at scale.
Responsibilities
- Lead DGX Cloud’s business operating rhythm, including planning cycles, executive reviews, decision forums, and follow-through on actions and decisions.
- Build executive-ready dashboards and reporting covering capacity, program delivery, business performance, spend, budget, headcount, and organizational health.
- Partner with Engineering, Product, Operations, Finance, FinOps, HR, and Technical Program Management teams to define shared benchmarks, planning assumptions, data sources, and performance targets.
- Support headcount planning and hiring-plan tracking, including workforce-capacity analysis, prioritization, forecast accuracy, and leadership reporting.
- Drive high-priority cross-functional initiatives by establishing achievements, dependencies, risks, decision paths, accountable owners, and executive involvement when needed.
- Convert complex operational, technical, financial, and workforce data into clear executive insights, recommendations, and required decisions.
- Improve the quality and speed of business operations through automation, AI-assisted workflows, reliable source-of-truth data, and scalable planning mechanisms.
- Identify organizational bottlenecks, data-quality issues, and process gaps, and drive durable improvements across planning, reporting, and execution.
Requirements
- More than 12 years of experience in business operations, technical program management, strategy and operations, finance, analytics, or comparable technical or business roles.
- Strong analytical and quantitative skills, including experience building dashboards, defining important metrics, developing planning models, and translating data into executive recommendations.
- Experience leading headcount planning, workforce-capacity analysis, hiring-plan tracking, and organizational planning in partnership with HR and functional leaders.
- Demonstrated ability to lead complex cross-functional programs involving technical, operational, financial, and organizational dependencies.
- Experience establishing operating rhythms, including executive reviews, planning cycles, decision forums, performance tracking, and leadership-ready reporting.
- Working knowledge of cloud infrastructure, AI/ML platforms, large-scale services, or technical operations.
- Strong written and verbal communication skills, with the ability to turn complex data and program status into clear risks, trade-offs, and decisions.
- Bachelor’s or Master’s degree in Business, Finance, Engineering, Computer Science, Analytics, or a related field, or equivalent experience.
Preferred Qualifications
- Experience supporting business operations for AI/ML infrastructure, GPU capacity, cloud services, or large-scale technology organizations.
- Track record of building data products, executive dashboards, or automated reporting systems that became trusted sources of truth.
- Experience connecting headcount, budget, capacity, and program-delivery data to improve investment and prioritization decisions.
- Experience applying AI or automation to improve planning, reporting, forecasting, or operational follow-through.
- Ability to operate as a trusted partner to senior leaders while independently driving clarity, accountability, and execution across a complex organization.
Compensation and Benefits
- Base salary range of $200,000–$322,000 USD for Level 5.
- Base salary range of $240,000–$379,500 USD for Level 6.
- Eligibility for equity and benefits.
- Applications will be accepted at least until August 16, 2026.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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