What are the responsibilities and job description for the Revenue & Sales Operations Lead position at FlowX.AI?
FlowX.AI is an engine for the next generation of cognitive enterprise systems - because we believe enterprise software is the software layer that our civilization relies on. Today, our AI-native development platform helps banks and insurance companies but also other industry players to easily build and deploy AI Agents and AI-enabled mission critical systems that are by default scalable, secure, have proper governance, and plug in easily into any existing systems, including legacy and heritage systems.
MissionWe’re looking for a Revenue & Sales Operations Lead to implement, run, and scale the infrastructure that powers our GTM teams.
Reporting to the CRO, this role is all about operational excellence - driving predictability, efficiency, and growth. This is a role for a strategic operator - someone that sees the big picture and can drive fast execution - focusing on operational excellence.
Your role is to 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.
What you will do on a daily basis- Set up and maintain a sales infrastructure and operating system to enable predictability, repeatability, and speed.
- Enable the sales team to sell faster & smarter through smart assets and processes.
- Improve pipeline velocity, sales data quality, and best practices adherence.
- Deliver predictable revenue insights and accurate forecasting.
- Have some experience or at least knowledge of the sales methodologies and frameworks that are foundational for our sales: Gap Selling (Keenan), MEDDPICC, BANT, and Challenger Sale.
- Have 3 years in Sales Ops & RevOps / GTM Ops (B2B SaaS preferred).
- Have CRM and revenue tools expertise, preferably with HubSpot.
- Have a proven track record improving forecasting, pipeline, and data quality.
- Are a detail-oriented and hands-on operator.
- 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.
- Competitive compensation with an early-stage equity package.
- Work alongside an ambitious leadership team driving category creation in enterprise AI.