$184,000 - $345,000 USD yearly
Originally posted 17 August 2026 by the employer.
About the role
This role involves managing relationships with service providers and telecom operators to implement NVIDIA technologies, architectures, software, and ecosystem capabilities at scale.
What you'll do
- Build and manage relationships with telecom operators, service providers, model builders, and ISVs.
- Define and drive go-to-market strategies with strategic partners to deploy AI Cloud infrastructure, AI inference services, and Enterprise AI solutions.
- Develop new business models and tokenomics frameworks spanning open weight AI models, Sovereign AI, and Token-as-a-Service.
- Identify and uncover Land-Power-Shell opportunities to develop Token factories and AI infrastructure capacity.
- Engage the NVIDIA ecosystem to connect supply and demand across the AI infrastructure stack.
- Present and evangelize AI infrastructure opportunities to technology and business executives.
What you'll need
- 12+ years in business development, partnerships, or go-to-market roles within cloud, infrastructure, or technology.
- Technical proficiency in data center, cloud, and AI infrastructure.
- Proven ability to engage both engineering teams and C-suite executives.
- Experience operating effectively in large, cross-functional global organizations.
- Track record of building and scaling partner ecosystems.
- Bachelor's degree or equivalent experience.
- Willingness to travel approximately 40%.
Nice to have
- Extensive knowledge of AI token economics including inference performance, cost per token, GPU utilization, pricing, and Tokens-as-a-Service business models.
- Experience with AI GPU Neocloud providers or hyperscalers.
- Background in semiconductor, service provider, and/or telecom industries.
- Familiarity with the NVIDIA software and platform stack.
- MBA or Master's preferred; equivalent experience considered
Skills: Business Development Manager, AI Infrastructure, Service Providers, Telco, go-to-market strategies
This role has been open 59 days — well above the 43-day median for Product Management roles.
Product Management · AI ML Hardware
|
Open roles in category
70
|
Median days open
43 d
|
Median salary
$248k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (70 roles · 22 employers) |
|---|---|---|
| Open roles in this specialty | 22 | 70 |
| Median days open | 31 d | 43 d (−12 d vs this employer) |
| Median salary (USD postings) | — | $248k |
Skills observed across this category: Business Development Manager, AI Infrastructure, Service Providers, Telco, go-to-market strategies
Who's hiring in this category
- NVIDIA (this employer) · 22 open roles · median 31 d
- Qualcomm · 10 open roles · median 65 d
- AMD · 8 open roles · median 50 d
- NXP Semiconductors · 4 open roles · median 16 d
- Analog Devices · 3 open roles · median 35 d
- SambaNova · 3 open roles · median 37 d
How we counted: 70 open Product Management (AI ML Hardware) roles from 22 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.