What shipped last quarter?
Episode 2 of "Between Two Leaves" highlights significant quality-of-life improvements for enterprise operators and developers, focusing on observability, disaster recovery, and the .NET ecosystem.
đź“ş: https://mongodb.social/6175BBxk2L
Luce Carter Sabina Bates
This is who helps make MongoDB, MongoDB! đź’š
Featuring members of our MongoDB_API employee resource group for Asian American, Native Hawaiian, and Pacific Islander Heritage Month.
#LifeAtMongoDB
Before MongoDB.local London last week, our London team caught up with Erica Volini (Chief Customer Officer) and Ryan Mac Ban (Chief Revenue Officer) to discuss the future of MongoDB and our Go-To-Market leaders' plans for how we'll get there.
The main takeaway?
MongoDB is infrastructure for production AI. We'll continue helping customers move their most critical workloads to MongoDB's data platform, enabling them to build, launch, and scale next-gen applications. Along the way, we're focused on enabling our own teams to work more efficiently and find opportunities for learning and growth.
Want to be part of it? Find open roles on our careers site.
#LifeAtMongoDB
A lot was shipped at MongoDB.local London yesterday.
New capabilities, new integrations, new ways to build production AI.
If you weren't in the room, the livestream is on demand with everything you need to catch up.
Link in bio.
AI-native applications don’t stay in conference rooms. Neither did we 🚕
📸 Keep an eye out across London and tag us for a chance to be featured. #MongoDBlocal
Today at MongoDB.local London, we announced a suite of capabilities to help developers build production-ready AI apps faster and more reliably.
Swipe to see everything that shipped 👉
"My favourite part of working at MongoDB is the people. It’s the everyday interactions, the support, and the sense that you’re part of something bigger than just your role.
There were days when everything collided — a critical work deadline and a family emergency I couldn’t ignore. In the past, that would’ve meant choosing one and feeling like I failed at the other. But because of our flexible policy, I didn't have to choose. I stepped away when my family needed me, came back when I could focus, and still delivered what mattered.
This sense of ownership over my work and my time is what makes working at MongoDB unique.
I’ve learned to use office time for collaboration and energy, and home time for deep focus. That balance has made me more intentional, more productive, and honestly, more present in both spaces."
✨Aishwarya Agarwal, Senior InfoSec Analyst
To the kids, working at MongoDB looked like all fun and games. Between magic and reptile shows, cupcake decorating, photo booths, and arts and crafts, it’s easy to see why!
What they didn’t see?
The customer meetings, product roadmaps, and lines of code that power some of the world’s most innovative applications.
Take Your Child to Work Day was the perfect reminder that you can build serious technology and still have a lot of fun while doing it. đź’š
#LifeAtMongoDB
London, you ready? 🇬🇧
MongoDB.local lands next week.
We’re bringing product announcements, customer stories, and hands-on sessions designed to help you take AI from demo to production.
7 May. Old Billingsgate.
See you there.
New to MongoDB but have experience in SQL? Bridge your knowledge gap with our Relational to Document Model Skill Badge! đź’ˇ
Learn how to take the data modeling knowledge you already have and apply it to MongoDB’s document model: a structure optimized for modern, performance-driven applications.
Start earning now: https://mongodb.social/6179BBzXTS
What does it actually take to ship an AI assistant that users trust?
Liz Hill (Staff Product Designer) and Ben Perlmutter (Senior AI Engineer) built MongoDB's AI assistant and sat down to tell the full story. Here's what they cover:
🤔 Why they built the MongoDB AI Assistant in the first place
âť“ What actually happens when a user asks the assistant a question
🏗️ How Atlas, Vector Search, and Voyage AI fit into the architecture
đź’» What's unique about designing for genAI vs. traditional software
✨ What's next for AI assistants
Hear it from the people who built it. Full conversation on YouTube, link in bio
