AI Operations Lead

Skills
BusinessBusiness OperationsData AnalysisIT EscalationManagementMarketingOperations
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 3–6 years in operations product operations business operations revenue operations strategy technical program management solutions automation data or similar roles
  • Hands-on experience using AI to build ship automate or improve work
  • Strong fluency with modern AI tools such as ChatGPT Claude Cursor Claude Code or similar
  • Comfort with low-code no-code tools workflow automation SQL BI tools APIs scripting or systems integrations
  • Strong operational empathy and ability to build solutions teams adopt
  • Excellent communication skills for documentation trainings and change enablement
  • Analytical data-driven approach to prioritization measurement and improvement
  • High ownership urgency and comfort with ambiguity
  • Strong product judgment on prototyping automation and escalation to Engineering
  • Bias toward hands-on building over strategy-only work

Nice to have

  • High agency
  • Builder mindset
  • Operational empathy
  • Strong judgment
  • Ambiguity tolerance
  • Data-driven
  • Hands-on

Day to day

  • Partner with Product Sales Customer Success Marketing Operations and Support to uncover manual workflows and bottlenecks
  • Build and launch AI-powered automations copilots and agentic workflows using low-code no-code and AI tools
  • Measure adoption quality time savings and business impact then iterate based on feedback and performance data
  • Train teams create documentation and coach internal champions to embed AI into daily work
  • Work with Engineering when deeper integrations productization or technical support are needed

Hiring process

  • Submit application
  • Interview process with recruiter and team