Surge AI Revenue Operations Manager at Surge AI responsible for building systems and processes behind the go-to-market strategy. This role involves defining funnel stages, managing CRM strategy, and enabling account-based marketing.
Responsibilities
We're looking for a Revenue Operations Manager to build the systems and processes behind Surge’s go-to-market. You’ll work closely with Marketing, Business Development, Operations, and Finance to help us scale with clear processes, reliable data, and reporting leaders use to make decisions.
This is a foundational role. You’ll have broad ownership and the chance to shape how we go to market as we grow.
Build the go-to-market foundation. Define funnel stages, lead routing, and follow-up processes so every opportunity is handled consistently.
Own our GTM systems. Lead CRM strategy, implementation, and administration, and shape the broader revenue tech stack.
Enable account-based marketing. Partner with Marketing on target account strategy so campaigns focus on the accounts that matter most.
Measure what drives revenue. Build attribution and pipeline reporting that connects marketing activity to opportunities and closed revenue.
Run the operating cadence. Support pipeline reviews, forecasting, and recurring business reporting for leadership.
Partner with Finance. Make sure commercial data flows reliably from deal to contract to revenue.
Qualification
Experience in revenue operationsStrong systems thinkingThe ability to work across MarketingMeticulous attention to detailExperience at a B2B tech or AI company
Required
Experience in revenue operations, sales operations, or marketing operations, preferably at a B2B tech or AI company, including hands-on CRM selection and implementation.
Strong systems thinking: you can define funnel stages, design lead routing, and turn messy data into reporting that teams actually use.
The ability to work across Marketing, BD, Ops, and Finance, influence without authority, and follow through until the work is done.
Meticulous attention to detail, paired with comfort in a fast-paced, high-ambiguity startup environment.
Deep interest in AI systems - direct AI/ML experience valued but not required.
