VAST Data · 1 month ago
Product Marketing Manager for AI Cloud Providers and Foundation Model Builders
VAST Data is one of the fastest-growing infrastructure companies, focusing on building enterprise software infrastructure for AI. The Product Marketing Manager will drive go-to-market initiatives for the VAST AI Operating System, targeting AI Cloud Providers and organizations building large-scale Foundation Models.
AI InfrastructureArtificial Intelligence (AI)DatabaseSoftware
Responsibilities
Develop and execute strategic go-to-market plans tailored to AI Cloud Providers and Foundation Model Builders for the VAST AI OS
Craft compelling, differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers (product management, service architects, business development) and at organizations building Foundation Models (AI researchers, MLOps engineers, data scientists, infrastructure leads)
Conduct market analysis, identifying trends, threats, and opportunities in the AI cloud services, large-scale AI model development, and underlying data infrastructure landscape, relevant to the VAST AI OS
Translate complex technical features of the VAST AI OS into clear benefits for AI Cloud Providers (service differentiation, revenue opportunities, TCO) and for Foundation Model Builders (accelerated training, reduced data management overhead, faster iteration cycles, scalable deployment)
Serve as an expert resource on architectures for AI cloud services and large-scale model development, including multi-tenancy, service orchestration, distributed training, high-performance data pipelines, and how the VAST AI OS underpins these for AI-as-a-Service and Foundation Model lifecycles, emphasizing unified file and object storage, data protection, compliance, and security
Collaborate closely with Product Management and Engineering to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights for AI services and model development
Create high-impact sales tools, presentations, reference architectures, product demonstrations, webinars, and training materials for the VAST AI OS that effectively communicate technical and business advantages to and through AI Cloud Providers, and directly to organizations building Foundation Models
Support partner development, sales teams, and direct engagement efforts with strategic responses to AI Cloud Provider opportunities, Foundation Model initiatives leveraging the VAST AI OS, and joint RFI/RFPs
Engage regularly with AI Cloud Providers and key players in the Foundation Model ecosystem to capture insights, validate VAST AI OS positioning, and foster advocacy and joint marketing opportunities
Produce influential content for the VAST AI OS including whitepapers, case studies, solution briefs, blogs, and FAQs tailored to AI Cloud Provider and Foundation Model Builder audiences and their respective customers or users
Partner with demand generation and partner marketing teams to design and execute targeted marketing campaigns driving awareness, leads, and adoption of the VAST AI OS within AI Cloud Provider ecosystems and among organizations focused on Foundation Models
Represent VAST Data as a thought leader in industry events, panels, webinars, and through editorial contributions focused on the AI Cloud Provider and Foundation Model development space, highlighting the role of the VAST AI OS
Qualification
Required
8+ years of proven experience in product or solution marketing within cloud services, AI/ML platforms, large-scale data infrastructure, data storage, operating systems, or related fields, with a strong understanding of 'as-a-Service' GTM models and/or the needs of large-scale AI research and development
Deep understanding of infrastructure for cloud service providers and/or large-scale AI training/inference clusters, including multi-tenant architectures, service orchestration, distributed computing, virtualization, containers, and unified file/object storage solutions at petabyte to exabyte scale
Familiarity with modern AI/ML data pipelines, the lifecycle of Foundation Models (data ingestion, pre-processing, training, fine-tuning, inference), and analytics workloads, and how they are delivered as cloud services or built in dedicated environments
Strong expertise in aligning complex technical solutions like the VAST AI OS with business-driven objectives for both AI Cloud Providers (e.g., service differentiation, new revenue streams, TCO reduction) and Foundation Model Builders (e.g., faster time-to-model, research breakthroughs, efficient scaling, optimized resource utilization)
Exceptional communication skills, with proven ability to articulate technical concepts clearly to both technical and business audiences
Demonstrated success developing and executing impactful marketing strategies and campaigns
Highly collaborative with a proactive approach to managing cross-functional projects
Willingness to travel for customer engagements, industry events, and internal meetings
Preferred
Knowledge of enterprise compliance frameworks and security standards (e.g., GDPR, HIPAA) relevant to cloud service offerings and large-scale data handling
Experience working in fast-paced startup environments or rapidly scaling technology companies
Proven experience working with or for Cloud Service Providers (CSPs), AI platform providers, or organizations heavily involved in building or using Foundation Models (e.g., AI research labs, large enterprises with dedicated AI teams)
Understanding of cloud marketplaces, co-sell motions with CSPs, and/or the ecosystem and GTM for large language models and other foundation AIs
Company
VAST Data
VAST Data offers a unified data platform that integrates storage, database, and compute capabilities into a single software platform.
Funding
Current Stage
Late StageTotal Funding
$381MKey Investors
FidelityTiger Global ManagementN47
2023-12-05Series E· $118M
2021-05-04Series D· $83M
2021-03-01Series Unknown
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-09
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