Delivery Layer

LinkedIn's seniority algorithms are mindbogglingly wrong. My first 10 "Entry Level" connections have an average of 20 years experience: 1. Head of R&D - 20 years experience 2. Research associate - 20 years experience 3. Ted Merz, CFA - 33 years experience 4. Fractional CMO - 25 years experience 5. COO - 21 years experience 6. Data & AI Solutions Architect - 5 years experience 7. Principle GenAI at AWS - 30 years experience 8. Head of AI & Analytics at an insurance company - 20 years 9. Head of data management - 23 years experience 10. Developer Relations - 10 years experience And it doesn't get any better... Out of my first 50, none were truly entry level, and there were only a few with 5-8 years of experience. Here are a couple other friends & connections who are categorized as entry level on LinkedIn: Jon Stainer, Dan Entrup, Ravit Jain, Sandeep Kella, Leah Tharin, Heidi Lanford, Barak Eilam, Jimmy Adams, Qun Wei, Alina Vandenberghe, Aliisa Rosenthal, Dave Kellogg, 🦾Jepson Taylor, Schuyler Brown, Benjamin Rogojan, Auren Hoffman 📚, Joay K. Singhal I discovered this because as a data person, I've always hated the extremely limited analytics we get from LinkedIn. What does it mean that 12.3% of my audience is entry level? So, I decided to dig in and you can see the results.... p.s. Not surprised this hasn't come up before, because who searches for entry level people on Sales Nav??? 😂 p.p.s. If you have Sales Nav, you too can let your extremely senior friends know that their decades of success just weren't enough for LinkedIn... Just choose Seniority: "Entry Level" and Connection: "1st" as your only two search filters. Tag your most senior friends in the comments 😀

For the past two years, I've made a very stupid mistake. I built a huge audience, but none of you actually know what Delivery Layer does... I take full responsibility - the website was confusing, there were no video demos etc... So, I switched things up. I made it extremely clear what we do: We Build Customer Facing Analytics Applications... For Free! I also made two different video demos. A quick 5 minute demo to see an actual example of what we build. And an in-depth 50 minute demo. For people who want all the details and answers to frequently asked questions like "How can you afford to build these applications for free?" Check out the new homepage: https://lnkd.in/g3hPSuDB

With traditional software you can "set it and forget it," but sadly data products rarely just keep working after you build them. You need to set it, regularly retrain it, fix the data pipelines, create new features, adjust the model when you add a new option to the onboarding survey, etc... Maintaining data products is as challenging as building them. One of the most important parts of product management for data products is preparing your company for when this happens.

Check out this episode of the Delivery Layer Podcast with Solomon Kahn! Solomon made this such an easy-going conversation, I loved it! One of the highlights for me was a quote Solomon shared: "Everyone hates the way things are, and the only thing they hate more is change!" So true! We talked about how disruptive data and AI transformations can be, differences at legacy data companies versus digitally native ones, and many other great topics. Listen to the full podcast here: https://lnkd.in/gkukQF3v

Heidi Lanford and I had a great chat about data transformation in legacy data companies, as well as how data orgs are shifting as leadership expects AI capabilities from their legacy organizations. Check out the latest episode of the Delivery Layer (or Top Data People now?) podcast! https://lnkd.in/ec-cfjaw

Got the chance to sit down with Solomon Kahn of Delivery Layer to talk all things data. No matter how well you know a market, the process and the pain points - there are sadly no shortcuts when it comes to the sales process. https://lnkd.in/e3UyMGap

People are shocked when they find out I was the one that built Delivery Layer. No contract devs, just me and my ten fingers... There's a widespread belief that to become an executive you have to sacrifice your tech skills to the point they eventually go to zero. When experienced executives start a company, nobody expects them to actually do the coding. Doubly so for a technically complex product like Delivery Layer, where it's essentially a: 📊 BI tool 💻 API platform 🌐 Website builder 🔒 EXTENSIVE permissions system All wrapped up into one. Well, it's just not true. You can be an exec and keep your tech skills. Now, I won't say something ridiculous like spending a decade in meetings will let you be at the same level as if you spent that decade coding. But you CAN keep your skills as long as you put the effort into keeping them. Reading code, staying across code reviews, and doing an occasional side project go a long way. And this is before all the LLM coding assistants, which will make it even easier to keep your skills. Don't buy the all-or-nothing. You can keep your tech skills. And it will make you far more valuable if you do.