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Levelpath · 1 day ago

Revenue Operations

New York, NY

Full-time

Onsite

Senior Level

$150K/yr - $210K/yr

5+ years exp

Levelpath is a mobile-first platform revolutionizing the procurement software industry. As a member of the Revenue Operations team, you will architect and scale the operational backbone of the global go-to-market organization, collaborating with leadership across various departments to enhance growth and efficiency.

Artificial Intelligence (AI)ProcurementProductivity ToolsSaaS

Responsibilities

Design and implement the RevOps framework spanning sales process, forecasting, territory design, pipeline management, and GTM reporting

Own and optimize our GTM systems stack (CRM, automation tools, analytics platforms) to drive scalability and data integrity

Partner with Sales and Marketing leadership to define and refine funnel metrics, pipeline velocity, and attribution models

Lead AE capacity planning, quota setting, territory/account strategy, and annual planning cycles in collaboration with leadership

Build scalable reporting and dashboards for executive leadership and Board-level visibility

Develop and maintain data governance practices to ensure reliable insights for decision-making

Continuously identify process bottlenecks, design improvements, and implement automation to increase efficiency across the revenue engine

Qualification

Revenue OperationsHubspot CRMSales process optimizationData governanceGTM strategyOrganizedDetail-orientedFast-paced environment

Required

5+ years in high-growth B2B SaaS organizations, ideally in Revenue Operations, Sales Operations, or Marketing Operations

Proven ability to implement and scale sales tech stack that revolves around Hubspot CRM

Strong track record of partnering with executive leadership to operationalize GTM strategy

Detail-oriented, organized, and able to thrive in a fast-paced, constantly evolving environment

Demonstrated experience in day-to-day sales and marketing support, as well as working knowledge of forecasting, process optimization, and performance scaling