- Job type
- Not listed
- Work mode
- Hybrid
- Level
- Not listed
- Department
- Sales
- Experience
- 4+ years experience
- Posted
- Aug 13, 2026
About the role
About the Role
We are looking for a Revenue Operations Manager to help Lightning AI’s go-to-market teams ramp faster, sell sharper, and operate with a shared AI forward playbook. The Revenue Operations Manager will help drive growth by shaping the strategy, systems, and processes that power our go-to-market organization. In this role, you’ll lead high-impact strategic and operational initiatives, driving improvements across systems, forecasting, pipeline management, territory design, analytics, processes, and other key revenue operations projects. This role is ideal for someone who combines strategic thinking with a hands-on approach to execution.
What You'll Do
- Own and drive key revenue operations initiatives, including systems, reporting, forecasting, process optimization, territories, and compensation.
- Own and optimize our GTM tech stack (custom objects, automations, etc.) and broader GTM tech stack – implementing new tools where needed.
- Reimagine Rev Ops for the AI era, translating that vision into scalable systems, processes, and strategies across both RevOps and GTM teams.
- Partner cross-functionally with GTM leaders and individual contributors across Sales, Marketing, Customer Success, Product, Finance, Legal, and our C-suite to proactively identify areas of opportunity and drive alignment.
Requirements
- 4+ years of Revenue Operations or related Operations role at a fast-growth venture-backed SaaS startup
- Strong understanding of Rev Ops best practices
- Highly analytical
- Hands-on experience managing a modern SaaS tech stack (e.g. Hubspot, Gong, Ironclad, Apollo, LinkedIn Sales Navigator, etc.)
- Proven experience partnering with Sales teams and presenting insights and recommendations to CRO
- Experience leveraging AI tools and automation
- Willingness to work in person at our office 3 days a week
Nice-to-Haves
- Experience with AI, cloud infrastructure, developer tools, data platforms,MLOps, or enterprise SaaS.
- Familiarity with MEDDIC/MEDDPICC, Command of the Message, Force Management, or similar enterprise sales methodologies.