IT Staff Engineer - AI Enablement & Automation (Remote, US)
Openly - Remote - United States
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Growth-stage From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
IT Staff Engineer - AI Enablement & Automation (Remote, US) Remote - United States JOB DETAILS We are looking for a proactive Staff IT Engineer to lead technical enablement for Openlyʼs AI adoption program. This role will help accelerate enterprise-wide AI usage by building practical automations, integrating AI tools with internal systems, and turning high-value business problems into reliable internal solutions. This person will sit at the intersection of IT, security, infrastructure, and platform engineering. The role will own and improve the technical foundations for AI enablement, including tool rollout, integration patterns, MCP connectivity, workflow automation, and the operational standards required to scale adoption safely. The right candidate will be hands-on, product-minded, and able to move from rapid prototype to supportable internal solution. KEY RESPONSIBILITIES - AI solution development: Build and deploy AI-enabled tools, workflows, and internal automations that improve productivity and reduce repetitive work across the company. - Integration and enablement: Connect AI agents, tools, and automations with enterprise systems such as Okta, Google Workspace, Slack, Notion, Jira, and other applications, ensuring reliable interoperability. - MCP and platform ownership: Build, maintain, and improve MCP connections and supporting infrastructure, including standards for configuration, reliability, monitoring, and lifecycle management. - Process automation: Identify manual or fragmented workflows and design durable automation solutions using Python, Go, or no-code tools. - Office hours and intake support: Partner in weekly AI enablement sessions and help turn identified use cases into repeatable, supportable workflows, or tools. - Security and governance partnership: Work closely with Security
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