Jaffrey Ali
Chief Product Officer
What I do at Aquiva Labs
As Chief Product Officer (CPO) at Hapi, I lead the company’s global product strategy and innovation initiatives. Key responsibilities include:
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Strategic Product Vision: Driving the evolution of Hapi's hospitality data connectivity platform from basic data integration toward real-time operational decision-making and actionable intelligence.
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Scaling Capabilities: Designing and delivering product-driven features that scale across the industry, helping major hotel brands and technology providers maximize the value of their operational and guest data.
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Cross-Functional Leadership: Partnering directly with the CEO and executive leadership to align product milestones with business growth, while scaling high-performing product and technology teams.
Why Aquiva Labs
If you are a builder, and you want the things you build to actually reach customers at scale, Hapi is worth a serious look. Here is why.
A lot of the hard, foundational work is already behind us. Most companies in enterprise SaaS and data spend years just trying to make their pipelines and connectivity reliable. We have spent nine years doing that for hospitality, and the world's largest hotel brands rely on what we have built. That work does not get marketed much, but it is the reason the next chapter is interesting.
The next chapter is where things get fun. We are moving from data integration into real-time operational decision-making and AI applications that sit on top of the connectivity layer. You will not be maintaining legacy systems. You will be shaping how an entire industry uses real-time intelligence.
We run lean. That means speed, intellectual curiosity, and autonomy matter more than process. If you have a good idea and the data to back it up, you will get the room to ship it.
My view of leadership is simple. Clear roadblocks. Give the team space to do their best work. Mistakes are how we learn. The people you would work with are sharp, generous with their thinking, and care about the craft.
We are in a rare spot. The depth and stability of an established industry leader, paired with the velocity of a startup with a real greenfield ahead of it. If you want your work to matter and to scale, this is the place.
Who am I?
I have spent over 20 years at the intersection of complex data environments, enterprise SaaS, and artificial intelligence. My career has been defined by a repeating passion: taking complex, fragmented data structures and building products that make that information actionable and highly valuable in real time.
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The Analytical Foundation: I started with an academic background in Economics (earning my BA from the University of Texas and a Master’s from the University of North Carolina). This gave me a structural lens for analyzing complex systems and macro-level data, which naturally translated into tech product strategy.
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Building Mission-Critical Platforms: Over the years, I held product leadership roles at companies like Norkom Technologies, Spring Global, and Haystax Technology. Working across diverse verticals; including financial intelligence, risk management, and cybersecurity, I focused on building highly differentiated product offerings and securing patents in AI and machine learning technologies.
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Scaling Enterprise AI: Prior to joining Hapi, I served as Chief Product Officer and Chief AI Officer at FranConnect. There, I led a global product organization, established an AI Center of Excellence, and launched our enterprise AI suite (Frannie AI) to drive intelligent automation across multi-location businesses.
What Motivates Me (And Why I’m at Hapi)
I am fundamentally motivated by the transition from reactive data access to proactive operational action.
Many companies get stuck on the first major hurdle: simple data connectivity. What drew me to Hapi is that the team has already masterfully built and scaled that connectivity foundation over the last nine years. The next great frontier and what gets me excited every day is transforming that foundation into scalable, real-time operational decision-making tools.
As a leader, I lean heavily on lean start-up principles to move fast, empower teams, and build products that genuinely shift an industry forward. If you love solving massive, complex data problems and putting those solutions directly into the hands of users right when they need them, that is exactly the culture and product team we are building here.
Advice for prospective candidates
If you are interviewing with us, my goal isn't to trip you up. The interview is a two-way working session. I want to see how we think together and whether we are likely to do good work side by side. Here is what tends to stand out.
Talk about outcomes, not just outputs. A list of features you shipped tells me very little. Tell me why you built them, what problem they solved, and what changed for the business or the user as a result. The "why" is where the signal is.
Show your thinking under ambiguity. We work with hospitality data that is large, complex, and not always tidy. I don't expect you to have answers in the first conversation. I want to see how you break a hard, vague problem into smaller pieces you can test and ship. The framework matters more than the answer.
Be biased toward shipping and learning. We move fast and iterate. Tell me about times you put something useful in front of customers before it was perfect, learned from what came back, and adjusted. I value candidates who treat misses as information rather than failures.
Come prepared. Read about Hapi, our customers, and what is happening in hospitality data. When it is your turn to ask questions, ask the hard ones. About the roadmap, the tech stack, what is funded, what is still uncertain. The candidates who probe show they are already thinking like part of the team.
A note on authenticity. Don't tell me what you think a CPO wants to hear. Be honest about what you are good at, where you want to grow, and the environments where you do your best work. Both sides waste time when the answers are scripted. We want the real you, even when the real you has rough edges.