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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in enterprise software and infrastructure sales, particularly within the cloud provider ecosystem. Proven ability to build executive relationships, manage complex sales cycles, and develop business cases that drive revenue and operational efficiency.
Highest-signal resume keywords
15+ Years Of Enterprise Sales ExperienceDeep Understanding Of AI InfrastructureProven Hunter Track RecordWorking Fluency In KubernetesExperience Selling Into Cloud Provider Ecosystem
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales Cycle ManagementBusiness Case DevelopmentAccount PlanningForecastingComplex Transaction ManagementSolution ShapingCommercial NegotiationPipeline ManagementTechnical EvaluationsMulti-Tenancy
Soft Skills
Executive PresenceCredibility With Business LeadersRelationship BuildingCustomer Feedback IntegrationCollaboration With Solutions Architects
Tools & Technologies
SalesforceMEDDPICCNVIDIA Cloud Partner ProgramOpen SourceInfrastructure Automation
Industry Keywords
AI Cloud ProvidersGPU-as-a-ServiceInference Service ProvidersHyperscalersManaged Service ProvidersNeocloudsSovereign AITelco InitiativesRegional Cloud InitiativesSeven-Figure Transactions
Tech Stack
Tools & technologiesCloudKubernetesOpen Source
About the role
Key responsibilities & impact- Prospect, open, and close new logos among AI cloud providers, NCPs, neoclouds, GPU-as-a-service providers, and inference service providers, focusing on the Bay Area
- Use an existing executive network to secure meetings with CEOs, CTOs, VPs of Infrastructure, heads of platform engineering, and product leaders
- Own the full sales cycle, including territory and account planning, discovery, solution shaping, business case development, commercial negotiation, and close
- Build and manage a qualified pipeline with accurate forecasting in Salesforce using a disciplined methodology such as MEDDPICC
- Position k0rdent AI around provider business outcomes such as faster time to revenue, higher GPU utilization, multi-tenancy, and managed inference services
- Partner with solutions architects and product management on technical evaluations and proofs of concept
- Bring customer feedback into the product roadmap
- Work with NVIDIA, OEM, hardware, and channel partners to co-sell, source opportunities, and shape joint offerings
- Represent Mirantis at AI and cloud infrastructure events and local ecosystem communities
- Help define the segment playbook, including ideal customer profile, pricing input, and reference stories
Requirements
What you’ll need- 15+ years of enterprise or strategic software and infrastructure sales
- Experience selling into the cloud provider ecosystem, including hyperscalers, service providers, managed service providers, or neoclouds
- Existing, active relationships with decision-makers at AI cloud providers, NCPs, and inference service providers
- Proven hunter track record with consistent quota attainment on new-logo deals
- Multiple complex, seven-figure transactions
- Deep understanding of AI infrastructure and applications, including GPU clusters, model training versus inference workloads, LLM serving, and GPU capacity pricing and packaging
- Working fluency in Kubernetes, containers, open source, multi-tenancy, and infrastructure automation
- Ability to build a CFO-level business case around utilization, time to revenue, and operating cost
- Executive presence and credibility with technical founders and business leaders
- Based on the west coast of the US; San Francisco Bay Area highly preferred
- Able to travel as needed
- Prior sales experience at NVIDIA, a GPU cloud, a server OEM, or an AI infrastructure software company preferred
- Familiarity with the NVIDIA Cloud Partner program and reference architectures preferred
- Experience selling open-source-based or platform software to service providers preferred
- Exposure to sovereign AI, telco, or regional cloud initiatives preferred
- Experience as an early seller in a new product line or startup-style business unit preferred
Benefits
Comp & perks- Collaborate with a world-class, distributed team committed to openness and technical excellence
- Shape the product narrative and influence go-to-market success
- Work directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Full-time employment
