AI Operations Lead
Skills
BusinessBusiness OperationsData AnalysisIT EscalationManagementMarketingOperations
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
