The hire of a VP Marketing is a particular kind of milestone for an early-stage technology company. It marks the point where the primary challenge shifts from building to communicating, and where the company commits organizational resources to defining its place in the market. Hud, the Runtime Intelligence company, has reached that point with the appointment of Shai Alani as Vice President of Marketing.
Alani joins from a background in high-growth B2B technology marketing, with prior roles as VP Marketing at Lightrun and marketing leadership positions at Coralogix and Aporia. At Hud, he takes responsibility for global marketing strategy, category creation, brand, and demand generation.
The Problem Driving the Appointment
Hud’s founding premise is that AI-native development has created a gap the current software stack does not adequately address. Engineering teams are shipping more code, faster, with increasing reliance on coding agents to generate and accelerate that output. When something fails in production, traditional observability tools confirm that a failure occurred but stop short of explaining it at the function level. Reconstructing what happened requires pulling together data from multiple sources, a process that is slow, incomplete, and heavily dependent on whether the right instrumentation was in place before the failure.
Coding agents face the same limitation in a more acute form. They can read a codebase and propose fixes, but they operate without access to runtime evidence of how that code actually performed under real production conditions. The gap between code structure and production behavior is precisely where debugging becomes expensive and inconclusive.
Hud addresses this with what it calls Runtime Intelligence: production behavior resolved to the function level, combined with forensic depth when failures need to be investigated.
Leadership on the Opportunity
“AI has changed the speed of software creation, but production is still where code proves itself,” said Roee Adler, Co-founder and CEO of Hud. “The next major category in the AI SDLC is Runtime Intelligence: production behavior resolved to the function level, coupled with deep forensics when things go wrong, so humans and agents can understand, fix, and validate software with confidence. Shai brings the experience we need to build that category and scale Hud into a defining company for AI-native engineering teams.”
Alani described the gap Runtime Intelligence is designed to fill in equally direct terms.
“Runtime Intelligence is the missing layer in the AI software stack,” said Shai Alani, VP Marketing at Hud. “AI has made it easy to generate code, but it has not made it any easier to stand behind that code once it is running in production, where reliability is actually decided. That gap is fast becoming one of the defining problems for AI-native engineering teams, and it is exactly the kind of category you build a company around. That is why I joined Hud, and it is the story I am excited to take to market.”
What Alani’s Background Brings
Alani’s prior stops at Lightrun, Coralogix, and Aporia each required building go-to-market strategy for technically grounded products sold to engineering audiences. These are buyers who evaluate tools on specifics and require messaging that earns credibility rather than assumes it. That experience translates directly to the task at Hud, where the audience is engineering organizations already navigating the shift to AI-native development and already experiencing the production challenges that Runtime Intelligence is designed to address.
Category creation is listed explicitly within Alani’s mandate, and that detail signals Hud’s intent. Runtime Intelligence does not yet carry the broad recognition of established terms like observability or APM. Making it the natural language that engineering leaders reach for when describing a gap they already experience is the long-term objective, and it is the kind of work that requires sustained, consistent communication to a specific and discerning audience.
The Market Hud Is Addressing
The engineering organizations Hud is targeting are already living with the consequences of the production gap. They are shipping AI-generated code at velocity, deploying coding agents as standard workflow components, and discovering that investigation tools built for earlier development practices do not scale to the pace AI has introduced. The problem is not theoretical. It shows up every time an incident drags because the right runtime data was not captured, or a fix addresses a symptom rather than a root cause.
With Alani in place, Hud is positioned to reach those organizations with a consistent, credible market narrative. Runtime Intelligence is the category. The appointment is the commitment to building it.