Sr Enterprise Systems Engineer (AI Productivity)

Location: Remote within the United States; occasional travel for offsites, team meetings, and customer or industry events may be required.

Annual base salary: $123,000–$172,000 USD, plus benefits, equity, and applicable incentive programs.

Company

hirify.global develops cybersecurity and unified access management products that help businesses securely use applications, SaaS tools, and AI technologies.

What you will do

• Design, configure, and maintain centralized AI and automation platforms for secure, scalable enterprise use.
• Build and maintain AI-powered workflows that reduce manual effort and improve operational efficiency.
• Use APIs, connectors, and low-code/no-code tools to deliver practical technical solutions.
• Partner with technical and non-technical stakeholders to translate workflow challenges into effective solutions.
• Develop documentation, standards, and best practices for enterprise AI and automation.
• Provide technical guidance and training, while measuring improvements in workflow times and operational overhead.

Requirements

• Experience in IT systems, automation engineering, or enterprise productivity enablement.
• Experience designing and implementing solutions with APIs, connectors, and low-code/no-code tools.
• Experience building and maintaining workflow automations.
• Ability to collaborate with technical and non-technical stakeholders and deliver reliable, scalable enterprise solutions.
• Must be based in the United States.

Nice to have

• Experience with AI-enabled productivity platforms, workflow automation tools, or integration frameworks such as Glean, Dust, or Workato.
• Experience integrating Slack, Notion, Google Workspace, Zoom, or Asana.

Culture & Benefits

• Remote-first work environment with in-person engagement and travel for most roles.
• Health, dental, retirement matching, and generous paid time off.
• Maternity and parental leave top-up programs.
• RSU program for most employees and a free hirify.global account.
• Paid volunteer days and peer-to-peer recognition.
• Collaborative culture focused on transparency, feedback, simplicity, honesty, and continuous learning, including AI best practices.