Product Marketing Engineer (High Performance Computing)

Location: Remote in the United States

Company

hirify.global builds an enterprise software platform that unifies storage, databases, messaging, virtualization, and AI pipelines for AI factories, autonomous agents, large-scale model training, and modern data platforms.

What you will do

• Develop product documentation, videos, webinars, presentations, FAQs, sales sheets, blog posts, and other customer-facing content.
• Evangelize product and solution value propositions with key customers and partners.
• Lead go-to-market initiatives and campaigns across marketing and sales.
• Build product narratives and outbound messaging with copywriters.
• Define customer stories and value testimonials, and conduct customer research.
• Define target KPIs and monitor, analyze, and report marketing performance.

Requirements

• 5+ years of product marketing, solution marketing, or similar experience, preferably with Big Data and/or HPC solutions.
• Fluency in HPC workload trends, terminology, concepts, and technologies.
• Working knowledge of AI/ML market trends and emerging technologies, with the ability to adapt value propositions and content to customer concerns.
• Excellent written, oral, communication, and presentation skills, including creating and delivering effective presentations.
• Ability to build end-to-end plans and manage execution across cross-functional teams.
• Collaborative approach with the ability to build relationships with key stakeholders.
• Experience defining and executing marketing programs and campaigns.
• Ability to communicate with technical and business audiences.
• Ability to travel for industry conferences, customer visits, team offsites, and partner and sales meetings.

Nice to have

• Bachelor's degree in Computer Science, Business, Marketing, or a related discipline.
• 5+ years of software subscription or SaaS sales or marketing experience with enterprise or service provider customers.
• MBA preferred but not required.

Culture & Benefits

• Full-time remote position based in the United States.
• Work in a fast-paced, collaborative environment with cross-functional teams.
• Opportunity to contribute to a growing enterprise software startup defining an AI infrastructure category.