Why did I choose Resolve AI as my next chapter?

Over the past decade, I have seen one pattern repeat itself: when software breaks, business slows. Deals stall. Customers churn. Teams lose precious time and momentum.

I experienced this firsthand at Grafana, where we scaled 40x, and later at Windsurf, where we pushed the boundaries of AI inside the IDE. Both journeys showed me how critical it is for engineering teams to keep systems running smoothly and how costly it is when they cannot.

Here's what I've realized: we're building software faster than ever, but we're at an inflection point where the next big challenge is keeping all of it running. That's exactly what Resolve AI is solving, and why I joined as VP of Worldwide Sales.

Where is the current bottleneck?

AI is helping us write code faster than ever. AI tools for tasks like code generation, intelligent IDEs, and automated testing became ubiquitous. We're now writing 10x more code, faster than ever. Expectations rose and the pressure on engineering teams has never been higher: ship faster, fix faster, scale infinitely, do it all with fewer people.

On the flipside, we're still running, and troubleshooting production systems with outdated, manual workflows. Manual dashboards and tribal knowledge of a few engineers debugging our production systems. These workflows drain time, energy, and focus at the very moment when teams need them most: during on-call and incident response.

This mismatch is creating a new bottleneck. The bottleneck has shifted from writing code to running production systems, and it is choking engineering velocity at scale.

Why Resolve AI?

Resolve AI is built from the ground up for AI-native engineering teams, designed to solve the operational bottleneck that every company building with AI will face.

The mission is to keep the world’s software running by enabling engineers with AI-first tooling for on-call and incident response

The results speak for themselves. Teams using Resolve are seeing a 75% boost in engineering productivity, 80% faster issue resolution, and 20+ hours back per on-call engineer every week. These aren't incremental improvements. They're transformational shifts that give engineering teams their nights and weekends back.

The team: What sealed the decision was the people. Spiros and Mayank didn't stumble onto production systems as an interesting AI application. They lived this problem.They co-created OpenTelemetry, built and exited two observability companies together and co-created OpenTelemetry. Now they're on a mission to simplify how we work with our production systems using AI Agents. From the engineers building category-defining technology to the incredibly talented sellers already in place, Resolve AI is filled with people who care deeply about solving one of the hardest and most important problems in software.

The road ahead

We have the opportunity to reshape how engineering teams operate in the AI-native era. Resolve AI is tackling a problem that touches every company that runs on software, which is to say, every company. It is a rare chance to help build the next legendary AI company, and I could not be more fired up.

From a go-to-market standpoint, we are focused on building and scaling a world-class GTM team. Our mission is to partner with many of the largest and most strategic customers in the world. These are organizations where reliability and uptime are not optional. We will help them keep shipping reliable software, maintain the availability their businesses depend on, and eliminate the toil of manual troubleshooting that slows teams down.

Scaling this team will be about more than hiring. It will be about bringing together people who are passionate about solving a problem that matters to every company, and who thrive at the intersection of AI, software engineering, and customer success.

We are hiring across sales, marketing, SEs, and customer success. Every role matters. If this mission excites you, let’s build something legendary together.