Senior Revenue Operations Manager, Skydio

• 5+ years of experience in Revenue Operations, Sales Operations, Business Operations, Consulting, or a related field
• Proven track record of leading complex cross-functional projects and driving results across multiple stakeholder groups
• Strong program management skills and the ability to keep work moving in fast-paced, ambiguous environments
• Excellent analytical skills and comfort using data to identify issues, inform decisions, and measure impact
• Experience improving business processes and translating operational needs into scalable workflows and systems changes
• Strong communication skills, including experience presenting recommendations and updates to senior stakeholders

Desirable

• We’re looking for a Senior Revenue Operations Manager to lead high-impact cross-functional initiatives and scale AI-native operating workflows across Skydio’s go-to-market organization
• This person will partner across Sales, Marketing, Customer Success, Finance, and Business Systems to improve process execution, drive organizational alignment, and increase operating leverage across the revenue engine
• This is a role for a high-agency operator who can bring structure to ambiguity, move fluidly across teams, and turn business needs into scalable processes, workflows, and operational improvements
• You’ll help strengthen the operating mechanisms behind the revenue engine while identifying practical ways to embed AI and automation into day-to-day execution
• Lead high-priority cross-functional initiatives across the GTM organization, from problem definition through execution and rollout
• Improve core revenue processes and handoffs across Sales, Marketing, Customer Success, Finance, and Systems
• Design and scale AI-native workflows that reduce manual work, improve consistency, and accelerate decision-making
• Partner with business stakeholders to identify operational pain points and translate them into process, tooling, and reporting improvements
• Work closely with Business Systems and data teams to operationalize automation and improve workflow efficiency across the revenue engine
• Build structure around complex initiatives by defining goals, owners, success metrics, timelines, and risks
• Drive adoption and change management for new processes, tools, and ways of working
• Improve visibility and execution quality through scalable reporting, process discipline, and operational rigor