Director of Revenue Operations

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision.

Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI.

That’s Rasa. That’s our message.

Join us and add yours.

We’re looking for a Director of Revenue Operations to join our Go-to-Market team. This role will be responsible for driving operational efficiency across sales, marketing, and customer success teams, ensuring alignment with the overall go-to-market strategy. You will work closely with senior leadership and cross-functional teams to optimize revenue processes, improve forecasting accuracy, and create scalable systems that support the business's growth objectives.

You will be reporting to the VP of Finance.

The role is:

• Full-time, 100% Remote (with travel, as needed)
• Location:
  East Coast, USA
• Rasa can not provide work sponsorship for USA-based positions.

As the Director of Revenue Operations, you will build and scale the operating system that powers our global GTM engine across Sales, Marketing, Customer Success, and Partnerships. Your work will drive clarity, consistency, and execution excellence, ensuring our teams operate with speed and precision. Reporting to the VP of Finance, you’ll partner closely with GTM and Finance leadership to translate strategy into systems, processes, and insights that accelerate revenue growth.

With an AI-first mindset, you will design and refine workflows that put the right tools and data in the hands of our reps at the exact moment they need them—enabling one person to deliver the output that once required a larger team. This includes turning business goals into clear AI use cases, embedding them into daily workflows in collaboration with Sales Ops, Marketing Ops, and CS leaders, and ensuring every AI-driven process is explainable, auditable, and aligned with revenue objectives.

This is an opportunity to join a mission-driven AI company and play a key role in shaping how we sell, measure, and win globally.

• Advise GTM and Finance leadership on strategy, planning, and execution—owning annual and quarterly cycles that align headcount, quota, and budget across global teams.
• Build an AI-powered GTM operating system that boosts pipeline, speeds deals, and strengthens retention while keeping data quality and accountability tight.
• Streamline revenue processes end-to-end, including forecasting, pipeline management, deal execution, territory design, and customer lifecycle workflows.
• Define ICP, segmentation, and GTM motions across enterprise, partner, and self-serve channels to create commercial clarity and focus.
• Deliver high-impact dashboards, forecasts, and attribution models that highlight leading indicators, pipeline health, win rates, and retention trends.
• Own the full GTM tech stack—driving automation, system governance, data integrity, and adoption across such as Salesforce/Hub Spot, Gong, Clay, Unify, Default, marketing automation, and integrations.
• Activate signal-based workflows that surface buyer intent in real time and help teams act with speed and precision.
• Lead and grow a global Rev Ops organization, driving readiness, incentive design, and a culture of continuous improvement and experimentation.

• Bachelor’s degree in Business, Marketing, Operations, or related field; MBA preferred.
• 7+ years in Revenue Operations, Sales Operations, or GTM Strategy, preferably in B2B SaaS or technology.
• Proven success in driving revenue growth and scaling processes in high-growth organizations.
• Advanced GTM expertise across multiple motions (Demand Gen, ABM, Partner, etc.) in CRM tools (Salesforce preferred) and marketing automation platforms (e.g., Hub Spot, Marketo).
• Strong data analysis skills, including proficiency in Excel, BI tools (Tableau, Looker), and basic SQL.
• Experience in revenue forecasting,…