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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud business development and partnership management, with a strong focus on NVIDIA GPUs, capacity planning, and revenue growth strategies. Proven ability to lead negotiations, track GPU capacity, and drive conversion from trial to paid production.
Highest-signal resume keywords
Cloud Business DevelopmentNVIDIA GPU KnowledgeCapacity Planning SystemsRevenue Target ManagementPartnership Negotiation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Capacity AgreementsPipeline BuildingDemand ForecastingPerformance BenchmarkingCost Analysis
Soft Skills
Relationship ManagementNegotiation SkillsProblem Solving
Tools & Technologies
KubernetesInference Developer ToolsSales Playbooks
Certifications & Qualifications
MBAAdvanced Technical Degree
Industry Keywords
AI CloudGPU CapacityCommercial RelationshipsRevenue GrowthInference Demand
Tech Stack
Tools & technologiesCloudKubernetes
About the role
Key responsibilities & impact- Lead commercial relationships with participating NVIDIA Cloud Partners and other AI Clouds
- Verify technical readiness and reservation authority during onboarding
- Track available, reserved, and planned GPU capacity by type, count, region, price, and delivery date
- Reach inference service providers, model builders, AI startups, and ISVs to develop funded inference demand
- Verify budget owner, launch date, and minimum commitment before buyers enter the funnel
- Launch intake, routing, and partner-acceptance workflows with RevOps and Product
- Match buyers based on performance, residency, price, and timing
- Assign referrals owners and response dates, and reroute stalled opportunities
- Create partner-specific offers, sales playbooks, and technical workshops
- Run joint campaigns and co-sell with partner representatives and vCluster Sales
- Measure trial-to-paid-production conversion
- Forecast GPU usage by type, region, and month
- Advise AI Cloud executives on adding, reallocating, or deferring GPUs
- Lead negotiations on price, minimums, ramp schedules, service levels, and delivery risk
- Validate performance with Solutions Engineering
- Resolve launch blockers with Engineering
- Verify first billing and close the software order with the account executive
- Report partner offtake value, metered GPU-hours against commitment, and booked vCluster ARR separately
Requirements
What you’ll need- Personally sourced and closed at least two capacity agreements, with at least one reaching paid production
- 12+ years in cloud business development, partnerships, or infrastructure sales, or equivalent experience leading a business of comparable scope
- Carried a revenue target
- Built pipeline from scratch
- Grown usage or recurring revenue across providers or regions
- Access to inference buyers and people who can reserve GPUs
- Launched a capacity planning, partner referral, or workload placement system adopted by field teams
- Experience comparing demand forecasts with actual consumption and advising on capacity decisions
- Knowledge of NVIDIA GPUs, inference developer tools, and Kubernetes
- Ability to benchmark latency and throughput under peak traffic and size a reservation with a solutions architect
- Ability to explain cost per million tokens and provider margin changes to a CFO
- MBA or advanced technical degree is a bonus, or equivalent practical experience
Benefits
Comp & perks- Equity
- Commission
- Health, dental, vision, and life insurance for you and eligible dependents
- Flexible working schedule
- Workplace flexibility
