The posting, in Rubrik's own words
archived Oct 7, 2026About the team:
Rubrik's mission is to secure and accelerate the world's AI transformation. IT is where we apply that to ourselves. We're moving Rubrik's own enterprise off a traditional application stack and onto an intelligent one. Our goal is what we call the Thinking Enterprise: applications that run the business instead of just recording it. They learn from our data, act through our agents, and improve with each decision. That work is already underway, and we'd like you to help build it. We build the internal products our Sales team and channel partners use every day, the tools that affect how productive sellers are and how fast deals close.
About the role:
In our approach to quote-to-cash, agents understand the portfolio, the pricing logic, and the deal in front of them, and they carry a quote from the first conversation through to booking. If you're someone who asks why a quote exists, works out what has to be true for a deal to be priced, configured, approved, and booked correctly, and drops everything else; who understands how configuration, pricing, discounting, approvals, and booking work in practice, and where multi-product and channel-led selling cause them to break; and who is excited about driving deal velocity by removing deal friction, then you're in the right place.
Read the full posting ↓
What you'll do:
Lead CPQ product strategy, drawing on a deep understanding of where quoting and pricing break at scale, and rebuild rather than patch. Bring an AI-first approach, introducing agents, evals, and automation into real revenue workflows with enterprise stakes. Apply first-principles thinking, breaking hard, ambiguous problems down to their fundamentals and building them back up properly. Own the vision and roadmap for next-generation GTM and CPQ capabilities (quoting, configuration, and pricing) as Rubrik expands its product lineup. Lead an agent-driven transformation of configuration, pricing, and quoting.Transitioning away from rigid rules engines toward autonomous agents while establishing key human-in-the-loop checkpoints. Optimize and simplify the quoting journey for internal sales teams and channel partners, eliminating operational friction and ensuring data precision to accelerate deal execution. Architect and streamline the end-to-end quote-to-cash ecosystem, managing cross-system handoffs and addressing complexities across multi-product portfolios and partner channels.