Ravio

Revenue Operations

• Support and scale Ravio’s revenue engine across sales, marketing, and customer success.
• Lead high-impact RevOps projects that unlock pipeline, improve conversion, and reduce churn.
• Turn data and signals into practical workflows that help our commercial team move faster.
• Own projects end to end, from scoping and analysis through to rollout and adoption.
• Focus project work on the biggest commercial opportunities, not just day-to-day support.
• Maintain infrastructure including scoring, enrichment, and key commercial workflows.
• Partner closely with Sales, CS, and Marketing to support high-priority revenue activities.
• Spot opportunities to use AI and automation to work more efficiently across operations.
• Help the commercial team get more from our tools through onboarding, guidance, documentation, and enablement sessions.
• Own and optimise our RevOps stack, including HubSpot, Clay, Cognism, Claude, and Looker.
• Build and maintain dashboards and reporting that give the commercial team clear visibility on performance, including regular pipeline updates, QBR support, and ad-hoc analysis.

Revenue Operations Analyst

Data Scientist

• Develop domain expertise: Understand the compensation landscape and the factors shaping pay across roles, organisations, and markets.
• Analyze complex datasets: Explore large, real-world datasets to uncover patterns, trends, and actionable insights.
• Build statistical and ML models: Design models that power Ravio’s compensation insights, ensuring accuracy, robustness, and interpretability.
• Own modelling pipelines end-to-end: Build, deploy, and maintain scalable pipelines as data and product usage grow.
• Collaborate cross-functionally: Partner with Product, Engineering, and Design to integrate data science capabilities into products.
• Communicate insights clearly: Translate complex findings into actionable recommendations for technical and non-technical audiences.
• Continuously improve: Refine models, methodologies, and data processes over time for better quality and impact.

Senior Data Scientist

Product Manager

• Shape and deliver the data product strategy, turning complex data into actionable insights
• Own key data-driven areas of the product to create customer-focused solutions
• Collaborate with Data Science, Data Engineering, and Product Engineering to design scalable data systems
• Establish best practices for experimentation and measurement across the product organization
• Partner with Sales, Customer Success, and other teams to align product roadmap to their business outcomes
• Take ownership of the product and influence the overall direction of the business.

Revenue Operations Analyst

Senior Data Scientist

Senior Data Product Manager