Sales Engineer (AI Infrastructure)

Location: Santa Clara Office; hybrid work arrangement

On-target earnings: $250,000–$300,000 annually, plus equity and commission.

Company

hirify.global develops massively parallel storage solutions for demanding data workloads in AI research, drug discovery, autonomous vehicles, financial modeling, and scientific computing.

What you will do

• Partner with customers to understand data challenges across finance, pharmaceuticals, education, research, and physical AI.
• Architect storage solutions for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads.
• Design reliable, resilient, secure, and scalable systems while balancing performance and data protection.
• Create bills of materials, system architectures, technical proposals, and responses to complex RFPs.
• Conduct live demonstrations, proofs of concept, and performance benchmarks.
• Integrate storage with GPU clusters, Kubernetes, cloud platforms, and AI frameworks while sharing field insights with Product and Engineering.

Requirements

• Strong understanding of SAN, NAS, object storage, parallel file systems, and data architecture.
• Knowledge of S3, POSIX, NFS, SMB, TCP/IP, InfiniBand, and RDMA protocols.
• Ability to communicate technical concepts to engineers and executives and translate requirements into business value.
• Entry-level candidates: 0–3 years of experience, a relevant bachelor's degree or equivalent experience, and exposure to storage or systems through coursework, internships, or projects.
• Experienced candidates: 3–8+ years in pre-sales, solutions architecture, or technical consulting, with experience designing enterprise storage or infrastructure solutions.
• Curiosity about massively parallel technologies such as Lustre, GPFS, and Exascaler, plus an aptitude for AI workloads.

Nice to have

• Experience with AI/ML infrastructure, HPC, or other high-performance workloads.
• Background in enterprise storage, research computing, university HPC, national laboratories, cloud architecture, platform engineering, or related infrastructure roles.
• Experience managing complex technical sales cycles.

Culture & Benefits

• Work on infrastructure supporting cancer research, autonomous vehicles, AI breakthroughs, and scientific discovery.
• Develop expertise in AI infrastructure, parallel computing, and next-generation storage.
• Access training, certifications, conferences, and career progression from Sales Engineer to Senior Sales Engineer and Principal Architect.
• Collaborate with experienced engineers and architects in a culture focused on technical excellence and customer success.
• Receive competitive compensation, bonuses, stock options, benefits, and flexible work arrangements.