Revenue & Sales Operations Manager

About the role

FlowX.AI is an agentic AI platform for large-scale, mission-critical applications. We started in regulated industries, banking and insurance, and have successfully landed major deals in government and defense. We're now expanding into new verticals, including logistics, manufacturing, healthcare, and construction. Our platform enables large organizations to deploy, run, and monitor mission-critical AI agents at scale. We provide the governance layers and robustness that AI agents need to operate reliably across the most important business processes.

We're looking for a Revenue & Sales Operations Manager to help implement, run, and scale the infrastructure that powers our GTM teams. Reporting into executive leadership, this role is all about operational excellence: driving predictability, efficiency, and growth. This is a role for an experienced, strategic operator who sees the big picture, executes quickly, and takes full ownership of key operational work streams. You'll help design, set up, optimize, and scale the infrastructure and processes that power our entire go-to-market, enabling competent sales teams, strong lead generation, and fast closing.

Responsibilities

• Build and maintain the sales infrastructure and operating system that enable predictability, repeatability, and speed.
• Own and optimize our CRM and revenue tech stack, keeping data clean, workflows efficient, and reporting reliable.
• Enable the sales team to sell faster and smarter through smart assets and processes.
• Improve pipeline velocity, sales data quality, and adherence to best practices.
• Deliver predictable revenue insights and accurate forecasting to GTM leadership.

Requirements

• Hands-on experience with sales methodologies and frameworks: Gap Selling (Keenan), MEDDPICC, BANT, and The Challenger Sale.
• 5+ years in Sales Ops, RevOps, or GTM Ops (B2B SaaS preferred).
• Deep expertise in CRM and revenue tools, preferably HubSpot.
• Proven track record of improving forecasting, pipeline health, and data quality.
• Detail-oriented, hands-on operator who can work independently and own projects end to end.

Pay

Competitive salary of $160k–200k depending on experience with an early-stage equity package.

Benefits

• Help build the operational go-to-market backbone of a fast-scaling AI company.
• Direct impact on how the company scales and delivers multi-million-dollar enterprise transformation deals.
• Work alongside an ambitious leadership team driving category creation in enterprise AI.