Rapid7 Innovation & Technology Culture

Tell us about your tech stack. What tools do you use to gather and organize data, and which tools do you rely on most in your daily work?

At Rapid7, I’m equipped with a tech stack that makes every stage of the sales process more strategic and efficient. I rely on Gong to guide both my outreach and deal execution, from building personalized cadences to analyzing call insights and buyer engagement signals across the funnel. 6sense helps me identify and prioritize accounts showing real intent, while ZoomInfo fills in the blanks with critical contact and company details. LinkedIn Sales Navigator keeps me informed of org changes and provides an avenue for warm, relevant outreach. I also use Sendoso to add a personal touch, like sending a timely gift or handwritten note to deepen relationships. These tools work together to ensure I’m spending time where it matters most, on the right accounts, with the right message, at the right moment.

How has data helped you close a deal? 

In a recent deal, I found out early that the prospect was using a competitor we frequently replace. I set up keyword tracking in Gong to notify me of mentions of that competitor across the sales org. This gave me direct insight into how they were positioning themselves and where customers were frustrated. I pulled win stories from similar accounts and adjusted my talk track to focus on the exact gaps we were hearing. It allowed me to be better prepared at handling objections and even get ahead of them. This level of insight helped the customer feel confident in making the switch to Rapid7. 

How does sales and customer data enhance Rapid7’s sales org? What data do you find most important in the sales process?

Sales and customer data is at the core of how our sales org operates at Rapid7. It drives how we prioritize accounts, tailor outreach and forecast with accuracy. Intent signals help us align teams around which accounts are actually in-market, while engagement data lets us see where to double down and where support may be needed. Competitive intel also plays a big role across the team. If we know an account uses a competitor we frequently displace, reps can adjust their strategy early in the cycle. Data also strengthens collaboration across functions, whether it’s syncing with marketing on target accounts or providing feedback to product teams. The result is a sales org that’s focused, agile and equipped to win with consistency.

Rapid7’s technology culture gives product designers the opportunity to shape meaningful innovation across a cybersecurity platform used to solve complex, high-stakes customer challenges. With an AI and platform-first mindset, designers help rethink core systems, embed smarter workflows and improve how users manage security at scale.

“We’re working on making big changes to our infrastructure regarding how we manage user roles and data access. I can’t give too much away just yet, but this progress represents a huge improvement for all users across the platform.”
 

Rapid7’s technology culture gives engineers the opportunity to work at the forefront of cybersecurity’s AI-driven evolution while staying grounded in rigorous engineering standards. As AI accelerates code generation and changes how threats emerge, engineers like Paul Hunter help build the systems, guardrails and verification practices that keep innovation secure, scalable and resilient.

“I treat AI-generated code like a third-party integration. I trust it, but we verify it aggressively against edge cases.”
 

Rapid7’s innovation is grounded in decades of cybersecurity research and a long-term commitment to building technology that helps customers stay ahead of evolving threats. With hundreds of granted patents and AI/ML capabilities built directly into its SOC, Rapid7 turns deep research into practical product advances that support faster detection, smarter prioritization and stronger customer resilience.

“Everything that Rapid7 does is backed by a 25-year obsession with research. We held over 300 granted patents at the end of 2025, with a massive chunk of those specifically representing the AI/ML technologies we’ve built directly into our SOC.”