Manager, Revenue Operations

About the Role

We are seeking a technical (you will be hands on with SQL in the data) and analytical leader to drive operational efficiency and revenue insights across Traba’s go-to-market functions. You have to be able to derive incredible insights while also having the ability to effectively communicate those insights. Reporting directly to the Head of Revenue & Demand Generation, you will be responsible for aligning people, data, and processes across marketing, sales, and post-sales teams. This role is highly cross-functional, requiring close collaboration with stakeholders in finance, product, and operations to optimize revenue retention, expansion, and overall performance.

You will own the data and insights that inform key business decisions, proactively identifying opportunities to enhance sales effectiveness and customer lifecycle management. You’ll play a critical role in building and scaling our revenue infrastructure, ensuring our teams have the tools, processes, and incentives needed to succeed.

This is a high-impact role with visibility across the organization, offering the opportunity to shape Traba’s revenue strategy and scale operations for long-term growth.

About Us

At Traba, we’re not just another tech company - we’re revolutionizing an industry that’s been broken for decades. Staffing in the light industrial sector is outdated, inefficient, and filled with friction. We're fixing that by building a technology-driven marketplace that seamlessly connects businesses with reliable talent while giving workers more flexibility and better opportunities.

This isn’t just about staffing - it’s about unlocking new levels of productivity, earning potential, and growth for businesses and workers alike. And with the backing of top-tier investors like Founders Fund, Khosla Ventures, and General Catalyst, we have the resources, vision, and talent to scale fast and build something truly world changing. You’ll be working at the ground level of a high-growth company, shaping the future the supply-chain space.

If you’re excited about solving complex problems, moving fast, and driving real-world impact, Traba is where you need to be. Let’s build something game-changing together.

Responsibilities

• Work cross functionally to ensure collaboration and alignment between people, data, and processes

• Drive revenue insights for marketing, sales, and post-sales teams through deep data analysis

• Be the go-to person for trended customer insights for revenue retention, revenue expansion, costs, product adoption, and churn

• Understand and build cohort and segmentation analysis for various cuts of customer and prospect data from various sources

• Recommend sales & post-sales process improvements based on your own proactive analysis of quantitative data and qualitative insights

• Own end-to-end process building and tearing down for sales and post-sales to enable teams to scale

• Align incentives for sales development and growth operations teams through quota & target setting and commission & bonus analysis

• Build mastery of Salesforce and other go-to-market tools and improve our current use of our go-to-market tech stack

What You’ll Need

• 5+ years of experience

• 3+ years of experience driving revenue

• 2+ years of operational experience

• Basic SQL skills

• Fundamental finance knowledge (2+ years IB / PE experience preferred)

• Excel and GSheets master

• Analytical mindset with an ability communicate your findings back to the business

Benefits

• 📈 Start-up equity

• 💰 Competitive Salary

• 🩺 100% Paid health, dental & vision coverage

• 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees

• 🚍 Commuter benefit

• 🎤 Team building events

• 🏋🏽 Gympass Benefit

• 🌴 Flexible PTO

• ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health

Equal Opportunity Employer

Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristic