About the job
Redpanda is at the forefront of AI infrastructure innovation with its groundbreaking Agentic Data Plane (ADP). This pioneering technology streamlines and secures the connection between AI agents and enterprise data, enhancing operational efficiency. Built on a sophisticated multi-modal data streaming engine, Redpanda enables real-time reasoning and action for agentic applications with remarkable speed and precision.
Trusted by industry giants such as Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone, and two of the top five banks in the U. S., Redpanda processes hundreds of terabytes of data daily.
Supported by leading venture capital firms including Lightspeed, GV, and Haystack VC, Redpanda fosters a diverse, people-oriented culture with teams spread across the globe.
About the Role:
The Head of Revenue Systems is responsible for spearheading the strategy, architecture, and execution of the systems that drive Redpanda’s go-to-market operations. This pivotal role ensures seamless integration across Sales, Marketing, Customer Success, Finance, and Partnerships, establishing a unified, scalable, and trustworthy revenue systems framework.
In this role, you will design and manage an integrated revenue technology stack that accommodates self-service, sales-assisted, and enterprise models, while facilitating precise forecasting, data integrity, and streamlined workflows. This position combines technical expertise, business insight, and cross-departmental leadership.
You Will:
- Define and lead the comprehensive revenue systems strategy to align with company growth, product-led initiatives, and enterprise scaling.
- Develop scalable system architectures that support diverse product offerings, pricing structures, and global go-to-market strategies.
- Oversee the long-term systems roadmap, ensuring a balance between speed, scalability, and maintainability.
- Manage core revenue systems encompassing CRM, CPQ, billing/subscription management, marketing automation, customer data platforms, support tools, and data/BI layers.
- Conduct vendor assessments and proof of concept evaluations for new applications.
- Guide system implementations, migrations, and optimizations from discovery to deployment.
- Guarantee the reliability, documentation, security, and auditability of all systems.
- Design and implement AI/LLM-powered workflows for revenue operations and go-to-market teams.
- Collaborate closely with Sales, Marketing, Customer Success, Finance, Product, and Data teams to translate business needs into system capabilities.
