Senior Product Marketing Manager (AI Inference)

Location: U.S. Remote; must be located in North America. Ability to travel up to 25% is required.

Company

hirify.global provides AI data and memory infrastructure through the NeuralMesh software platform, supporting AI training, inference, and agentic workloads.

What you will do

• Define positioning, messaging, value propositions, priority use cases, and competitive differentiation for AI inference across the NeuralMesh portfolio.
• Build the proposition for AI clouds and service providers, including multitenancy, Kubernetes-based operations, and cross-cloud capabilities.
• Find, recruit, and support design partners and early adopters while bringing customer and market evidence into product decisions.
• Quantify inference economics across GPU utilization, time-to-first-token, throughput, concurrency, tokens per GPU, and cost per token.
• Turn benchmarks and production deployments into proof, content, launches, sales plays, enablement, and customer stories.
• Represent the inference proposition with customers, analysts, press, and industry audiences while measuring product-market fit and target-segment traction.

Requirements

• 6+ years of experience in product marketing, product management, solution marketing, or a related enterprise technology role.
• Experience taking a new product, category, market proposition, or business from early stage to traction.
• Working knowledge of AI inference infrastructure, accelerated computing, model serving, GPU memory, data infrastructure, and production performance and cost dynamics.
• Ability to understand infrastructure architectures and benchmarks and translate them into value for technical and executive audiences.
• Experience building quantified TCO, ROI, or cost-per-unit arguments and creating high-quality product marketing content.
• Bachelor's degree in a relevant technical or business field, or equivalent practical experience; ability to work as a senior individual contributor in an ambiguous, fast-changing environment.

Nice to have

• Experience marketing to AI-native companies, ML/AI platform teams, cloud or service providers, or enterprise infrastructure buyers.

Culture & Benefits

• Accountable, brave, collaborative, and customer-centric working principles.
• Close collaboration with Product, Engineering, Sales, Solutions Engineering, Alliances, Marketing, and technical and partner product marketers.
• Direct work with early customers and design partners running inference at scale.
• Remote work from the U.S. with up to 25% travel.
• Inclusive workplace with equal employment opportunities.