Solutions Engineer (AI Infrastructure)

Location: New York, United States. The posting also specifies a U.S. base salary range for this full-time role in San Francisco.

Salary: $150,000–$300,000 OTE annually, plus equity and benefits.

Company

hirify.global develops AI-native infrastructure software that autonomously understands, diagnoses, fixes, and prevents incidents in complex enterprise production environments.

What you will do

• Lead technical discovery and demo conversations with engineering teams evaluating the platform.
• Translate complex infrastructure problems into tailored, high-impact pilot evaluations.
• Build and maintain demo environments, technical guides, and internal tools supporting the sales process.
• Partner with product and engineering teams to scope integrations, relay customer feedback, and influence roadmap priorities.
• Support customer onboarding and implementation to drive early wins and long-term adoption.
• Track SRE workflows, observability trends, and developments in the AI infrastructure ecosystem.

Requirements

• 3+ years of experience in Solutions Engineering, Forward Deployed Engineering, Solutions Architecture, or relevant engineering roles with strong customer instincts.
• Strong background in backend systems, developer tools, cloud infrastructure, or observability platforms.
• Excellent communication skills and the ability to explain complex technical concepts to varied audiences.
• Experience building proofs of concept, leading demos, or owning technical parts of a sales cycle.
• Ability to coordinate multiple stakeholders, lead recurring meetings, and drive pilots through completion.
• Enterprise experience with complex sales cycles involving discovery, POV/POC, security, legal, procurement, and production deployment.

Nice to have

• Familiarity with SRE workflows or observability tools.
• Hands-on experience with Terraform, Kubernetes, or similar infrastructure and deployment systems.
• Experience creating technical enablement content and scaling early sales motions.
• Interest in AI infrastructure and agentic systems.

Culture & Benefits

• High-ownership, high-velocity startup environment focused on meaningful technical problems.
• Competitive compensation, startup equity, and health insurance.
• Fertility benefits, a technology setup stipend, and flexible time off.
• In-office snacks, team events, outings, and an annual company offsite.
• Regular opportunities for collaboration, learning, and professional growth.