Revenue Operations & Strategy

The role

You will act as a force multiplier across the GTM organization by managing systems, analytics, and process design. You will work with sales, marketing, finance, and leadership to scale the revenue engine using an AI forward approach.

What you will do

• Administer and improve Salesforce objects, automation, validation rules, and data quality
• Own integration health across the GTM tool stack
• Maintain and improve reporting infrastructure and dashboards
• Build and maintain pipeline and forecast models, capacity plans, and performance dashboards
• Partner with sales leadership to prepare board- and leadership-level materials
• Analyze funnel and rep performance data to surface trends, risks, and opportunities
• Build the analytics layer that powers GTM decision-making
• Design and document processes and swim lanes for Sales, Marketing Ops, and Finance Ops
• Support go-to-market planning including territory design, account segmentation, and capacity modeling
• Support the design and administration of sales compensation plans

Required qualifications

• 7+ years of experience in Revenue/Sales Operations, Business Operations, or a related analytical role, ideally at a B2B SaaS company
• Deep hands-on Salesforce expertise
• Strong analytical and financial modeling skills
• Demonstrated ability to work independently across ambiguous, cross-functional problems
• Excellent communication skills
• Experience with a modern GTM stack (Salesforce plus tools like Clay, Clari, Gong, Apollo, or similar)

Nice to have

• Experience at an early-stage or high-growth startup, building RevOps processes from scratch
• Exposure to enterprise/strategic sales motions and long-cycle, multi-stakeholder deals
• Design and run structured experiments to test new GTM approaches

Benefits

• startup equity
• health insurance
• fertility benefits
• great tech setup stipend
• flexible time off
• in-office snacks
• team happy hours and outings
• annual company offsite

About the company

Traversal is the AI Site Reliability Engineer (AI SRE) for the enterprise. The company is backed by Sequoia Capital, Kleiner Perkins, Redpoint Ventures, and Khosla Ventures.