AI Operations Specialist

LogicGate•Chicago, IL

10d•Hybrid

About The Position

As LogicGate scales as the leading AI GRC platform for the Enterprise, driving internal operational agility and productivity is critical to our continuous growth. As our first dedicated internal AI builder, you will bridge the gap between complex operational bottlenecks and scalable, AI-driven solutions. Reporting to the VP of AI Transformation & Operations, you will partner cross-functionally across RevOps, Customer Success, Finance, People, and Product & Technology to discover, prototype, and operationalize high-leverage workflows. Your work will empower internal teams to automate manual processes, elevate team performance, and embed AI capability directly into our daily operations.

Requirements

3-5 years of progressive experience in business technology, systems analysis, process automation, business intelligence, or workflow optimization.
Demonstrated curiosity and practical experience building solutions using low-code/no-code platforms (e.g., Zapier, Make), LLM APIs, prompt engineering, or modern AI agent frameworks.
Exceptional communication skills with a proven track record as a trusted internal consultant - confident in navigating competing priorities, managing cross-functional stakeholders, pushing back and maintaining firm boundaries when needed.
Sharp analytical instincts with a track record of evaluating process ROI, prioritizing high-impact initiatives, and taking ownership of end-to-end delivery.
Background in creating internal enablement content, technical documentation, or change management programs.
Demonstrated capability to communicate and collaborate seamlessly across distributed teams, with the flexibility to travel as needed for key team offsites, company events, and customer meetings.

Nice To Haves

Prior experience operating within B2B SaaS, enterprise technology, or Governance, Risk, and Compliance (GRC) environments.
Familiarity with data analysis (SQL, Python basics), evaluation frameworks, or observability for internal AI systems.

Responsibilities

Partner cross-functionally with department leaders to identify repetitive, judgment-light processes and evaluate high-impact opportunities for automation and AI integration.
Build and deploy AI-augmented workflows and agents using modern tooling such as Zapier, Claude, LLM APIs, and Model Context Protocol (MCP) servers.
Redesign complex operational workflows to streamline cross-departmental handoffs, eliminate operational friction, and drive measurable efficiency gains.
Develop clear, reusable internal playbooks, documentation, and self-service templates that empower functional teams to sustain and build upon automated solutions independently.
Instrument deployed solutions to track key operational metrics, including adoption rates, hours reclaimed, and cost savings, while transparently monitoring risk.
Contribute to company-wide AI usage standards and operational frameworks to ensure automated workflows operate safely, securely, and consistently across the enterprise.