Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders – VAST AI OS This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. In this role, you can expect to grow both your skills & work experience significantly. This is a great opportunity to be a part of one of the fastest-growing startups of all time. THE ROLE We are seeking an experienced and strategic Product Marketing Manager to drive go-to-market initiatives focused specifically on AI Cloud Providers and Foundation Model Builders for the VAST AI Operating System (AI OS). Your primary objective is to position the VAST AI OS as the foundational data infrastructure for AI Cloud Providers and organizations building and operationalizing large-scale Foundation Models. This involves enabling these entities to leverage the VAST AI OS for efficiently training, refining, deploying, and managing massive models and the data that fuels them, whether for offering AI services or for direct model development. RESPONSIBILITIES: Product Marketing Strategy & Leadership

• 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.

Technical Evangelism

• 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.

Partner & Ecosystem Enablement & Engagement

• 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.

Content Development & Thought Leadership

• 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.

Requirements:

• 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 QUALIFICATIONS:

• 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

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