Solutions Engineer (AI/ML)

TL;DR

Solutions Engineer (AI/ML): Supporting enterprise customer acquisition by researching technical needs, leading product demonstrations and proofs of concept, and creating qualified sales opportunities with an accent on AI/ML workloads, network automation, and technical value positioning. Focus on translating complex infrastructure into business outcomes, engaging senior decision-makers, and building pipeline across AI-focused customers.

Location: Remote, US West Coast

Salary: $170,000–$180,000 annually, plus equity and commission

Company

hirify.global develops open-source and commercial products for network source-of-truth management, network observability, and network automation.

What you will do

• Research prospects’ pain points, use cases, roles, and business objectives.
• Position hirify.global solutions for AI customers and lead technical demonstrations and proofs of concept.
• Translate technical environments and product capabilities into business value and technical-win strategies with Sales.
• Pre-qualify prospects through inbound and outbound campaigns and build pipeline by securing meetings with qualified users and senior decision-makers.
• Collaborate with Sales, Marketing, Solutions Engineering, and leadership to refine targeting and sales strategy.
• Maintain accurate prospect data in HubSpot.

Requirements

• 4–5 years of experience selling enterprise SaaS or open-source SaaS solutions to AI companies or customers seeking AI solutions.
• 2+ years of experience in a fast-paced startup environment.
• Strong communication, listening, presentation, time-management, and project-management skills.
• Ability to explain complex technical subjects, work autonomously, and consistently exceed goals.
• Experience with HubSpot, Salesloft, LinkedIn Navigator, Seamless.ai, or similar sales tools.
• Familiarity with AI/ML infrastructure and workloads, including NVIDIA GPUs, training and inference, and Kubernetes.

Nice to have

• Knowledge of NetBox, network engineering, or network automation use cases.
• Experience with Python, Ansible, and aligning AI technologies with enterprise IT.

Culture & Benefits

• Remote work for candidates based on the US West Coast.
• Equity and commission are offered in addition to base compensation.
• Open-source contributors, users, customers, and employees are treated as one community.
• Culture emphasizes attention to detail, simplicity, clear communication, and collaborative problem-solving.
• Equal opportunity employment with accommodations available throughout the hiring process.