Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

VAST Data

Full-time

Remote

Worldwide

📦 Product Marketing

📌 Core Information

🔹 Job Title: Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

🔹 Company: VAST Data

🔹 Location: United States (Remote)

🔹 Job Type: Full-time

🔹 Category: Software Development

🔹 Date Posted: 2025-05-28

🔹 Experience Level: 10+ years

🔹 Remote Status: Remote OK

🚀 Job Overview

Key aspects of this role include:

Developing and executing strategic go-to-market plans for the VAST AI Operating System (AI OS) tailored to AI Cloud Providers and Foundation Model Builders.
Crafting compelling messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers and organizations building Foundation Models.
Serving as a technical evangelist, translating complex features of the VAST AI OS into clear benefits for AI Cloud Providers and Foundation Model Builders.
Collaborating closely with product management and engineering teams to influence the VAST AI OS roadmap and direction based on market insights and unique requirements.

ASSUMPTION: This role requires a strategic mindset, strong communication skills, and a deep understanding of AI cloud services, large-scale data infrastructure, and the needs of AI Cloud Providers and Foundation Model Builders.

📋 Key Responsibilities

✅ Develop and execute strategic go-to-market plans for the VAST AI OS focused on AI Cloud Providers and Foundation Model Builders.

✅ Craft and deliver clear, compelling, and differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers and organizations building Foundation Models.

✅ 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 and Foundation Model Builders, emphasizing unified file and object storage, data protection, compliance, and security.

✅ Collaborate closely with product management and engineering teams to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights.

✅ 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 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.

✅ 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.

ASSUMPTION: This role requires a high level of collaboration, strong communication skills, and the ability to work effectively with cross-functional teams.

🎯 Required Qualifications

Education: Bachelor's degree in Marketing, Business, or a related field. A Master's degree would be an asset.

Experience: 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.

Required Skills:

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 and Foundation Model Builders.
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 Skills:

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

ASSUMPTION: Candidates with experience in AI cloud services, data infrastructure, or related fields will have a strong foundation for success in this role. However, a willingness to learn and adapt is crucial, as the AI landscape is constantly evolving.

💰 Compensation & Benefits

Salary Range: $150,000 - $200,000 per year (based on industry standards for a senior product marketing role in the tech sector, with experience level and location considered)

Benefits:

Health, dental, and vision insurance
401(k) plan with company match
Unlimited PTO
Flexible work hours
Home office setup allowance

Working Hours: Full-time (40 hours/week), with flexible hours and a remote-friendly work environment

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and the company's internal compensation structure.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically focused on AI and data infrastructure

Company Size: 501-1,000 employees, large enough to offer stability and resources, yet small enough for individual impact

Founded: 2016, with a history of rapid growth and innovation in the AI and data storage sectors

Company Description:

VAST Data delivers the first AI Operating System, natively unifying and orchestrating storage, database, and compute to unleash the true power of agentic computing and data-intensive applications.
Focused on cloud storage, data storage, flash storage, universal storage, deep learning, and software development.
Committed to delivering high-performance, scalable, and secure data infrastructure solutions for AI and data-driven applications.

Company Specialties:

Cloud storage
Data storage
Flash storage
Universal storage
Deep learning
All flash
QLC flash
NVMe
Data Center Architecture
File and Object Storage
Database
Software development

Company Website: https://www.vastdata.com

ASSUMPTION: VAST Data is a well-established company in the AI and data storage sectors, with a strong focus on innovation and customer success.

📊 Role Analysis

Career Level: Senior-level role, offering opportunities for growth and leadership within the product marketing team

Reporting Structure: This role reports directly to the Vice President of Product Marketing and works closely with cross-functional teams, including product management, engineering, sales, and marketing

Work Arrangement: Remote-friendly work environment, with flexibility for on-site collaboration when needed

Growth Opportunities:

Potential to lead and mentor junior product marketing team members
Opportunities to expand responsibilities based on performance and company growth
Exposure to a wide range of AI and data infrastructure technologies, fostering continuous learning and skill development

ASSUMPTION: This role offers significant opportunities for professional growth and development within a dynamic and innovative company.

🌍 Location & Work Environment

Office Type: Remote-friendly, with physical offices in VAST, New York, North Carolina, and California

Office Location(s): VAST, New York (240 37th St, New York, NY 11101), North Carolina (2510 Meridian Pkwy, Durham, North Carolina 27713), and California (33 N 1st St, Campbell, California 95008)

Geographic Context:

VAST Data's headquarters is in VAST, with additional offices in major tech hubs across the United States
The remote-friendly work environment allows for flexibility and work-life balance
The company's locations provide access to vibrant tech communities and networking opportunities

Work Schedule: Full-time (40 hours/week), with flexible hours and a focus on results and productivity

ASSUMPTION: VAST Data's remote-friendly work environment and strategic office locations enable employees to balance their personal and professional lives while collaborating with a diverse and talented team.

💼 Interview & Application Insights

Typical Process:

Initial phone or video screen with the HR team
Technical deep dive with the hiring manager and/or team members
Final interview with the Vice President of Product Marketing
Background check and offer extension

Key Assessment Areas:

Technical expertise in AI cloud services and data infrastructure
Strategic thinking and go-to-market planning
Communication and presentation skills
Collaboration and cross-functional teamwork
Adaptability and willingness to learn in a dynamic environment

Application Tips:

Tailor your resume and cover letter to highlight your relevant experience and skills for this role
Demonstrate your understanding of AI cloud services, large-scale data infrastructure, and the needs of AI Cloud Providers and Foundation Model Builders in your application materials
Prepare for behavioral and situational interview questions that assess your problem-solving skills, strategic thinking, and ability to work collaboratively in a fast-paced environment

ATS Keywords: AI Cloud Providers, Foundation Model Builders, AI Operating System, Go-to-Market Strategy, Product Marketing, AI Cloud Services, Data Infrastructure, Technical Evangelism, Market Analysis, Sales Tools Development, Content Development, Thought Leadership

ASSUMPTION: VAST Data's interview process is designed to assess candidates' technical expertise, strategic thinking, and cultural fit within the organization.

🛠️ Tools & Technologies

Microsoft Office Suite (Word, Excel, PowerPoint)
Google Workspace (Gmail, Google Docs, Google Sheets, Google Slides)
CRM software (e.g., Salesforce, HubSpot)
Marketing automation tools (e.g., Marketo, Pardot)
Project management tools (e.g., Asana, Trello)
AI and data infrastructure-specific tools (e.g., Jupyter Notebooks, TensorFlow, PyTorch)

ASSUMPTION: The tools and technologies required for this role are standard for the tech industry and can be learned or built upon with the right training and resources.

👔 Cultural Fit Considerations

Company Values:

Innovation: Embracing continuous learning and improvement
Collaboration: Working together to achieve shared goals
Customer-centric: Focusing on customer success and satisfaction
Integrity: Acting with honesty and ethical behavior
Accountability: Taking responsibility for one's actions and results

Work Style:

Dynamic and fast-paced, with a focus on results and productivity
Collaborative and team-oriented, with a strong emphasis on cross-functional teamwork
Adaptable and flexible, with a willingness to learn and grow in a rapidly evolving environment
Customer-focused, with a commitment to delivering exceptional customer experiences

Self-Assessment Questions:

Do I have a strong understanding of AI cloud services, large-scale data infrastructure, and the needs of AI Cloud Providers and Foundation Model Builders?
Am I comfortable working in a dynamic, fast-paced environment and adapting to change?
Do I possess strong communication and presentation skills, with the ability to articulate complex technical concepts clearly to both technical and business audiences?
Am I a collaborative team player, with a proven track record of working effectively with cross-functional teams?
Do I have a customer-centric mindset, with a focus on delivering exceptional customer experiences?

ASSUMPTION: VAST Data's company culture values innovation, collaboration, customer-centricity, integrity, and accountability, and seeks candidates who align with these core values.

⚠️ Potential Challenges

The AI landscape is constantly evolving, requiring continuous learning and adaptation
The role may involve working with multiple stakeholders, including AI Cloud Providers, Foundation Model Builders, and internal teams, which can be challenging to manage effectively
The fast-paced nature of the role may require working on multiple projects simultaneously, with tight deadlines and competing priorities
The remote-friendly work environment may present unique challenges in terms of communication, collaboration, and work-life balance

ASSUMPTION: These challenges can be overcome with strong communication, time management, and adaptability skills, as well as a willingness to learn and grow in a dynamic environment.

📈 Similar Roles Comparison

This role is unique in its focus on AI Cloud Providers and Foundation Model Builders, requiring a deep understanding of AI cloud services, large-scale data infrastructure, and the needs of these specific stakeholders
Compared to other product marketing roles, this position offers a unique opportunity to work at the intersection of AI and data infrastructure, with a strong focus on innovation and customer success
Career progression in this role may lead to leadership positions within the product marketing team or expanded responsibilities based on company growth and performance

ASSUMPTION: This role offers a unique opportunity to work at the forefront of AI and data infrastructure, with a strong focus on innovation, collaboration, and customer success.

📝 Sample Projects

Developing a go-to-market strategy for the VAST AI OS tailored to AI Cloud Providers, including messaging, positioning, and sales tools
Creating a whitepaper or case study that highlights the benefits of the VAST AI OS for Foundation Model Builders, focusing on accelerated training, reduced data management overhead, and faster iteration cycles
Designing and executing a targeted marketing campaign to drive awareness, leads, and adoption of the VAST AI OS within AI Cloud Provider ecosystems

ASSUMPTION: These sample projects illustrate the strategic, collaborative, and customer-focused nature of the role, with a strong emphasis on driving business impact and customer success.

❓ Key Questions to Ask During Interview

How does VAST Data support the professional growth and development of its employees?
What are the key priorities for this role in the first 30, 60, and 90 days?
How does VAST Data foster collaboration and communication in a remote-friendly work environment?
What are the most challenging aspects of working with AI Cloud Providers and Foundation Model Builders, and how can this role help address those challenges?
How does VAST Data measure the success of its product marketing efforts, and what key performance indicators (KPIs) are most important for this role?

ASSUMPTION: Asking these questions demonstrates a proactive approach to understanding the role, the company, and the industry, and shows a strong commitment to success in the position.

📌 Next Steps for Applicants

To apply for this position:

Submit your application through the VAST Data Careers page
Tailor your resume and cover letter to highlight your relevant experience and skills for this role, emphasizing your understanding of AI cloud services, large-scale data infrastructure, and the needs of AI Cloud Providers and Foundation Model Builders
Prepare for behavioral and situational interview questions that assess your problem-solving skills, strategic thinking, and ability to work collaboratively in a fast-paced environment
If selected for an interview, be prepared to discuss your approach to go-to-market strategy, market analysis, and technical evangelism, as well as your experience working with AI Cloud Providers and Foundation Model Builders
Follow up with the hiring manager or HR team within one week of your interview to express your interest in the role and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.

Apply now

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