Technical Account Engineer (SaaS)

Location: Remote, Australia

Company

hirify.global develops data governance and data intelligence solutions that help large organizations connect data with actionable insights.

What you will do

• Serve as the primary technical contact for a portfolio of Premium enterprise accounts, owning SLAs and support tickets end to end.
• Escalate complex issues to Engineering and specialist teams, prioritizing work according to business impact.
• Identify risks through ticket trend analysis, environment health monitoring, and release gap assessments.
• Advise customers on upgrade paths, release readiness, environment stability, and best practices.
• Deliver Knowledge Share Sessions, conduct Support Reviews, and prepare account briefings for QBRs.
• Collaborate with Engineering, Product, Account Executives, and Customer Engineering on bugs, feature priorities, adoption blockers, expansion signals, and churn risks.

Requirements

• 5+ years of experience in technical support, technical account management, customer engineering, or solutions engineering within enterprise SaaS.
• Hands-on experience with Java, REST APIs, SSO, LDAP, Kubernetes, virtual machine environments, SQL, and SSL.
• Experience with root cause analysis, systematic debugging, and integration architecture.
• Knowledge of data governance, data catalogs, data quality, or data management platforms.
• Experience managing complex technical relationships with enterprise customers and multiple stakeholders.
• Bachelor’s degree or equivalent relevant work experience; this position is not eligible for visa sponsorship.

Nice to have

• Experience using AI tools such as Claude, Gemini, ChatGPT, or Copilot to solve business challenges and streamline workflows.
• Willingness to travel for strategic or at-risk account visits.

Culture & Benefits

• Flexible benefits designed to support different personal needs, interests, and life situations.
• Competitive compensation, health coverage, and time off.
• Inclusive workplace focused on belonging, diversity, equity, and inclusion.
• Support for continuous learning and development in the data governance domain.