Engineering Operations

We’re excited to have Michal Ziso, Earth & Space Architect and Founder & CEO of The ZISO Creative Disruption Platform, back with us at the AI Masterclass. Her previous session was highly insightful - exploring how teams operate under extreme constraints, and what we can learn from space missions about managing time, focus, and decision-making. This is one you don’t want to miss - last Early Bird spots are still available!

🧠⚡ AI makes it easier to turn ideas into clear presentations and visual outputs. This week we focused on AI tools for visual content and presentations. Lesson 10 in the Technical Project Management in the AI Era course, in collaboration with העברית הכשרת מנהלים, explored how AI tools can be used to create visual deliverables, produce simple videos, and turn ideas into clear presentations in a fast and structured way, including hands-on work with Gamma. 👩🏻🏫 Led by Adi Retman, Gen AI consultant, the session demonstrated how to move from an initial idea to a polished output, and how AI tools can support clearer and more efficient communication. If you're a project manager looking to take the next step into tech Last spots are available for the program starting in the coming days.

We can generate code in minutes. So why does approval still take days? The pace of execution changed, but the way we work didn’t. It shows up in small moments. Sprints that don’t hold. Decisions that lag behind execution. Where do you start? With a few small experiments you can try this week - based on the Pulse methodology. They won’t transform your organization overnight, but they will help you start learning what actually works. If you’re navigating this shift as a TPM, we share practical tools, frameworks, and real use cases in our newsletter. Comment 'PULSE' to join out newsletter.

Stop the AI FOMO. It’s time for JOMO (Joy of Missing Out). As tech project managers, we're attacked from every direction with new AI agents and "must-use" tools. Even though we know that real success comes from focus and going deep- we still find ourselves tempted to try everything, and feeling constantly in FOMO. At our last meetup, Michal Dery Samana spoke about exactly this. She challenged us to break this cycle and shift our mindset from FOMO to JOMO. The goal isn't to "do more AI"; it's to master one specific operational flow. Here is a practical challenge for the next 30 days: 1. Pick one friction in your own workflow: Something you personally feel every day - writing updates, summarizing meetings, structuring tasks. 2. Choose one tool to support it: Not the best tool. Just one you’re willing to stick with. 3. Define what success looks like:  Less time spent? Clearer outputs? Fewer back-and-forths? 4. Use it consistently in your day-to-day work: Not as a side experiment - as part of your actual flow. At the end of the month, ask:  Did this actually change how I work? By focusing on a single point of impact, you can actually measure and understand how efficient this tool is for your specific workflow. Instead of guessing, you’ll have the data to know what truly works for you. What’s the one action you’re automating this month? 

We don’t start with tools. We start with problems. Many companies think they’re “doing AI” because they added tools and Licenses. But delivery didn’t change. In her talk at our latest AI Masterclass, Lihi Kab TPM at HiBob made it clear: the problem isn’t the tools, it’s the approach. AI shouldn’t be just another layer on top of the work. It should change the way the work itself is done. Think about a development team. If they’re working the same way, just with Copilot - nothing really changed. The shift starts when teams ask: Where are we getting stuck? What’s slowing us down? And then redesign their workflows around that using AI- that’s where real value begins. Lihi explained that at HiBob, AI wasn’t rolled out as a single company-wide initiative. Instead, each domain - engineering, product, design - was responsible for identifying where AI could create real impact within their own workflows. If you're still figuring out how AI should actually change the way your team works - this is exactly what we focus on. In our AI Masterclass this June, we go beyond tools -  breaking down how leading companies redesign workflows, measure real impact on delivery,  and integrate AI into day-to-day execution. 🎯 Early Bird spots are almost gone. All the details are in the first comment. #EngineeringOps #TechnicalProgramManagement #AIOperations

We can't solve 2026 processes with 2010 methodologies . Scrum was designed for a world where "trying" was expensive and slow. Today, "trying" is nearly free, but deciding has become the bottleneck.When a PRD that took hours is restructured in seconds, and a "complex" feature is built in a single afternoon- the system has to change. Our ritual, Planning, Reviews, Dailies, still run on an old logic. Often, they exist simply because "that’s what the book says." We call this Ceremony Debt. Swipe through the carousel to see how this shows up in the small, everyday moments inside your sprint. This is exactly why we introduced Pulse Methodology- It’s time to move from managing tasks to managing the impact. In our latest ProjCast episode, Gabriela Nir and Michal Dery Samana go deeper into this shift and break down how teams can start adapting their way of working to match the speed of AI-driven development. 🎧 Link to the episode in the first comment. #EngineeringOps #TechnicalProgramManagement #TechPodcast #Scrum #AIOperations

The way you define goals and metrics directly shapes how your project is managed. 🧠⚡This week we focused on metrics and OKRs, and how they guide execution in real project environments. Lesson 12 in the Technical Project Management in the AI Era course, in collaboration with העברית הכשרת מנהלים, explored how to define meaningful goals and metrics- and how to translate them into day-to-day management. 👨🏻🏫 Led by Keren Hacohen Zada, VP of Engineering at Nanit. The session combined hands-on work with building and analyzing OKRs, alongside a real-world case study that demonstrated how measurement directly impacts management decisions. What we worked on: 🧭 Defining clear and meaningful goals 📊 Building and analyzing OKRs 🗂️ Translating metrics into daily management practices 📘 Understanding the impact of measurement through real case examples It wasn’t just about defining KPIs- it was about using them to guide decisions, alignment, and execution. If you're a project manager looking to take the next step into the tech industry- last spots are available for May cycle!! https://lnkd.in/d3T3nPZ2

“I wanted to start implementing things the next day.” When we designed the workshop, the goal was simple: to create a practical space where technical project managers can experiment with AI and learn from real implementations. After seeing the impact of the previous sessions, we decided to open another round this June. If you want to learn how AI can actually support the way your teams operate, and start building practical solutions- join us! 💥 We’re in the final days of early bird registration, with a limited number of spots available!! Registration via the link in the first comment 👇🏻

A brilliant new employee joins your team- talented and knowledgeable, but unfamiliar with your organization. The first step is obvious: onboarding. The exact same thing happens when organizations start working with AI. On the surface, AI looks like a very talented “employee” with an enormous amount of knowledge. But like any new hire, it doesn’t know your product, your codebase, or the way your organization thinks and operates. In our latest ProjCast episode, Adi Retman offers a different way to look at it. For AI to succeed, it needs onboarding- context, guidance, and an understanding of how things actually work in your organization. Adi shares six golden rules for implementing AI in organizations, helping make sense of how to “onboard” the tool: how to start small, build trust across the organization, and turn the technology into a real working tool. If you need a small break from the news- all the ProjCast episodes for technical project managers are waiting for you here 👇 #Podcast #TechnologyProjectManager #TPM #AI #Delivery

כנגד ארבעה תפקידים דיבר ה-Delivery... 🍷 רק שאצלנו כולם חכמים וכולם יודעים לשאול. כל אחד שואל שאלות אחרות, כל אחד רואה את המערכת מזווית אחרת. בפועל לעיתים הגבולות מטשטשים ואדם אחד הוא קצת מכולם. אז רגע לפני שאתם ממשיכים - איזו קושייה מתוך הארבע היא באמת שלכם? אם אתם עדיין לא בטוחים איזה מבין האחים אתם- מוזמנים לחזור לפוסט הקודם שלנו ולגלות מי אתם בדילברי (הלינק בתגובה הראשונה 👇) חג דליברי שמח ומאורגן!