AI Adoption Engineer

Location: Remote; the compensation section specifies a full-time, in-person role in New York, United States.

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

Company

hirify.global builds an AI SRE platform that performs root cause analysis and incident resolution with causal reasoning inside enterprise workflows such as Slack and ServiceNow.

What you will do

• Own activation, scaling, optimization, and value realization for a portfolio of enterprise accounts through renewal.
• Maintain customer-specific 30/60/90-day adoption roadmaps and lead kickoffs, enablement sessions, product feedback calls, executive syncs, and QBRs.
• Engineer custom integrations and prompts, debug edge cases, and maintain customer-owned accuracy tracking.
• Identify failure modes through power-user sessions and translate customer feedback into product roadmap items.
• Coordinate platform issue resolution with engineering and drive integration into customer service-launch and compliance workflows.
• Publish usage-based leadership updates and contribute to the cross-account customer community and enablement materials.

Requirements

• 5+ years in a technical customer-facing role such as solutions engineering, solutions architecture, technical account management, or customer success engineering at an enterprise software or infrastructure company.
• Technical depth in logs, distributed-systems failures, and evaluating incorrect AI-agent root causes.
• Experience driving adoption of a complex technical product across multiple customer stakeholders.
• Ability to lead both executive-level and engineer-level customer conversations.
• Strong written communication, comfort with ambiguity, and a builder’s mindset.
• Role location is described as an in-person position in New York, United States.

Nice to have

• Background in observability, AIOps, ITSM, or incident management.
• Experience as an SRE or Field Deployment Engineer.
• Experience with Slack-based enterprise workflows, ServiceNow, or Splunk.
• Familiarity with consumption-based or credit-based SaaS pricing models.
• Exposure to prompt engineering or AI product configuration.

Culture & Benefits

• Startup environment with meaningful product ownership and flexibility to move quickly.
• Competitive compensation, startup equity, and health insurance.
• Flexible time off and company-provided technology setup.
• Small, high-impact team focused on building a new infrastructure-software category.