Jon Loyens

Commerce & Revenue Optimization ​ Today, recommendations are the default in commerce—guests expect relevant options, not generic offers. Onboard is no different. ​ ​ Ascendion helps cruise lines use AI-driven personalization to make it easy for guests to discover, explore, and buy—whether it’s dining, retail, or excursions. With predictive offers and tailored recommendations, every interaction has the potential to increase spend and satisfaction. ​ ​ When commerce feels natural and helpful, it becomes part of the experience, rather than a distraction. ​ ​ Learn more: https://lnkd.in/guDUnmNc ​ ​ #CruiseLine #Ascendion #FutureOfWork #EngineeringAI #DigitalCommerce ​

23

1 Comment

Seemingly small features can have a huge impact. With the new AI powered help chat, IT admins can get detailed insights on how to use PDQ Connect to accomplish their goals - all without needing to leave the product. Proud of what the team has delivered here!

25

Seth Levine nailed it! The concentration problem isn't just a GP pain point... it's choking innovation. When capital pools around the same 20 funds, emerging managers and founders get shut out. Love that he's using his platform to call this out. Foundry has backed 50+ emerging managers. That's the diversification the ecosystem needs. This is exactly why Carta exists — making capital allocation visible and accessible. Capital Evolution hits at exactly the right moment. Thanks for having us Daniel Dart. Team Carta loves the community of FUTURE TITANS you have built 🚀

41

6 Comments

CPTO Revolution: Why SaaS Companies Are Merging Product and Tech Leadership I’ve lived the pain of siloed leadership and the inefficiencies it creates many times. And I’ve also seen how tightly integrated product and tech can transform not just delivery, but outcomes. Traditional org charts are no longer keeping up. The most competitive SaaS companies aren’t hiring separate CTOs and CPOs anymore - they’re bringing both roles under one roof with CPTOs. This isn’t about headcount optimization. It’s about reducing friction and moving faster in a world where complexity is climbing and customer expectations evolve by the week. Here’s the core issue: when product and engineering leadership are separate, you’re always playing a game of telephone. Product defines what’s needed. Engineering estimates and negotiates. Product pushes. Engineering pushes back. Handoffs everywhere. Every step is a delay. A CPTO owns the entire journey - from insight to shipped product. One person accountable. One vision. One continuous flow. And it works. Companies running this model are seeing up to 40% faster go-to-market. Less tech debt. Clearer priorities. Higher team velocity. What Actually Changes 1. Aligned Metrics You stop optimizing for isolated outcomes. Product isn’t chasing adoption while engineering shields uptime. Both roll into shared business goals. 2. AI Gets Strategic With unified leadership, AI isn’t a bolt-on. It becomes core to how you design, build, and validate products - through data, feedback loops, and automation. 3. Developer Experience Matters Platform engineering gets the attention it deserves. Internal tools align with product delivery, and suddenly teams aren’t waiting - they’re shipping. UX maturity, platform architecture, technical scalability - all of it becomes a single continuum. You’re not just improving “process”; you’re aligning every decision to what users need and what’s feasible to build. The CPTO Skillset This isn’t a hybrid role - it’s an integrated one. You need the technical depth to guide architecture and the product judgment to say no to overengineering. You talk to engineers about latency and reliability, and to the board about market traction and differentiation. As AI accelerates software development, what matters is orchestration—of systems, teams, and strategy. You need to see the whole board. Cloud infra spend is growing ~10% yearly, mostly due to AI. That spend needs direction. CPTOs are the ones who can match innovation speed with platform efficiency. Companies clinging to the old CTO/CPO split are playing a slower game. Integration is no longer optional - it’s a competitive advantage. So—what’s keeping your org from making the leap?

15

U.S. energy demand is surging — don’t get left behind. New gas projects and large industrial loads are reshaping power markets at breakneck speed. In this high-stakes landscape, timely and accurate data is essential. Halcyon’s Data Products, powered by a regularly updated authoritative data catalog of 4.5+ million documents from all 50 public utility commissions, ensure you always have the latest energy market intelligence. Download this guide to see how AI can help power sector stakeholders find new growth opportunities first.

6

New thoughts from me on building durable and sticky systems in the era of agents and why Linear is poised to win and Loom looks shaky. https://lnkd.in/gr3Ehhs7

3

Excited to share what I've been building — launching Telemetry Insights, an AI-powered IoT company delivering end-to-end solutions from sensor to cloud. We're building systems that think, decide, and act — turning raw telemetry data into intelligent business outcomes. Follow our company page for updates on our Q2 2026 launch!

77

10 Comments

It's a big day at Honeycomb! We're announcing major advancements in Honeycomb Telemetry Pipeline that unlock a new era of observability—one without tradeoffs. 🔥 Over the past several years, conversations around observability have revolved around challenging tradeoffs: retention versus fidelity, availability versus speed—and always, the constant pressure of cost. With the rise of OpenTelemetry shifting telemetry ownership from vendors to engineering teams, it was no surprise to see telemetry pipelines quickly emerge as essential infrastructure. Yet—as standalone solutions—these pipelines reinforce divisions between the producers and consumes of telemetry data (but this time, more toxically, often within the same organization). Honeycomb is committed to a different approach: deeply integrating telemetry pipelines into the observability experience itself. ✨Enhance✨ is the first step toward this vision, eliminating the traditional tradeoffs in data management. Teams now retain easy, cost effective access to all their telemetry, even (especially! 💥) the bits they didn’t expect to matter. By aligning telemetry data management directly with data usage patterns, we're able to foster positive feedback loops across engineering teams and lay the groundwork for a more integrated, insightful, and collaborative future. Welcome to an era of true lossless observability. It's gonna be exciting. 🚀 Learn more from our press release: https://lnkd.in/dqgCZDyy

103

2 Comments

Over the last few months, been seeing more and more non-technical champions really looking to peel back the curtain with questions like “how do vector embeddings work”, “what’s your chunking strategy”, “how should we structure our content to optimize for indexing”, etc It’s really cool to collaborate at this interface with customers because everyone’s looking to learn. I’m enjoying bringing customers along the AI development process as design partners, as this is super critical for retention / expansion. Our customers need to feel empowered to sell internally. For example, if a customer deeply understands how a vendor’s vertical AI solution works then they can sell our vertical AI solution to the CFO when annual budgets come into play. And when the CFO inevitably asks “well we have Copilot or Gemini – why do we need this vertical AI solution too?”... we want our customers to have the same understanding (and ultimately confidence) that our revenue team has when selling. Even though everyone acts like they know everything, understanding and communicating about AI is really f*cking hard. I really appreciate our customers’ vulnerability along the journey with us. #AIPM #ProductStrategy #Sales #CustomerSuccess #EnterpriseAI

11

1 Comment