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Nicholas Moczarny shared thisNicholas Moczarny shared thisNew to MongoDB? Ever heard about MongoDB Query Language? Learn and practice side by side TODAY! 💡 #MongoDBBytes https://lnkd.in/ecqGbNeJ
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Nicholas Moczarny shared thisNicholas Moczarny shared thisMongoDB was named one of Glassdoor's Best Places to Work 2023! #GlassdoorBPTW #LifeAtMongoDBMongoDB Is A Best Place to Work in 2023, According to Our Employees on Glassdoor | MongoDB BlogMongoDB Is A Best Place to Work in 2023, According to Our Employees on Glassdoor | MongoDB Blog
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Nicholas Moczarny shared thisNicholas Moczarny shared thisWe are honored to be named a leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems. Read more. ⬇️ https://lnkd.in/gNcDx8DEMongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems | MongoDB BlogMongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems | MongoDB Blog
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Nicholas Moczarny shared thisNicholas Moczarny shared thisGet all the strategic and technical details of our recently announced partnership with Databricks.MongoDB Partners with Databricks for App-Driven AnalyticsMongoDB Partners with Databricks for App-Driven Analytics
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Nicholas Moczarny shared thisNicholas Moczarny shared thisMongoDB continues to keep growing, Q3 results were announced last night. 🍃 🚀 🔥 Total Revenue $333.6 Million, 47% YoY growth. 🌍 63% of total revenue is represented by MongoDB Atlas ☄ Customer Growth continues with a total of 39,100 customers We are far from being done and we are still hiring! ☀ https://lnkd.in/gHdCXKuz
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Nicholas Moczarny shared thisMongoDB 6.0 introduces a preview feature that pulls off the quasi-magical feat of allowing encrypted data to be used as the target of searches, without ever transmitting the keys to the database.
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Nicholas Moczarny shared thisNicholas Moczarny shared thisLooking for advice on setting attainable professional goals? Need help mapping your career growth to maximize success at your company? Join the MongoDB Women's Group on Jan. 20th for a virtual Women in Tech panel discussion! Hear how executive and C-Suite level leaders paved their paths to success, with the opportunity to participate in live Q&A with our panelists. Our panel includes: Lena Smart | CISO, MongoDB 🛡️Alyssa Miller | CISO, S&P Global Ratings Beverly Anderson | Board Director, Expedia Catherine Li | SVP, Head of Digital Enablement, Home Lending Technology, Wells Fargo Jeanette Gamble | Managing Director - Enterprise Computing Services, Morgan Stanley Register today! https://bit.ly/3398Rtt
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Nicholas Moczarny shared thisNicholas Moczarny shared thisTips from one of the best here at MongoDB! Check out How to Prepare for Your Engineering Interview at MongoDB by Bryan Spears !! https://lnkd.in/eJgK99zGHow to Prepare for Your Engineering Interview at MongoDB | MongoDB BlogHow to Prepare for Your Engineering Interview at MongoDB | MongoDB Blog
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Nicholas Moczarny liked thisNicholas Moczarny liked thisI've told my team so might as well share. Microsoft are offering a "voluntary retirement program" and I have decided to take it. I was planning on leaving within 2-3 years anyway, and this gives me more time to figure out what, if anything, is next. This year has been a whirlwind; I'm really proud of my team for blazing a trail in this new world of agentic AI. We were amongst the first to create custom agents for every part of our SDLC, building an adversarial code review tool that made the CTO of Github sit up and take notice, tools for agentic code merge, performance and architectural improvements, issue analysis, telemetry agents, and more. Our scope and velocity both grew even while the team did not. It's been exciting but also exhausting and thought-provoking. We went from "this AI stuff seems more of a PITA than anything" to barely writing any code ourselves since January, and I think the tools we built actually allowed us to drive up quality, even more than velocity. At the same time I share the real concern that AI will make us cognitively lazy and atrophy our skills. Will become so good it doesn't matter and we can roll around in our recliners like in Wall-E? I'm not sure. What I do know is I want to think about these problems in a slower and more deliberate way than the crazy pace that is happening at work. And I am also wondering - in a world in which perhaps many of us are going to be displaced from our jobs and will have to innovate to survive, what are the tools that can help us thrive? One way to figure this out is to put myself in the situation. If I am a one person software company - which may be common - how can I build a thriving business, balancing economy of AI usage, quality customer support, shipping quality software that I actually understand and can maintain, while keeping my sanity? Those are questions I am interested in exploring, and my current role isn't the best place to do so. Or maybe I'll just give up on that and take on other work, if its super-interesting. Or just go fishing and program synthesizers. We'll see! Its going to be nice to have options, at least :-) Anyway, its been a really fun ride. I have had a fantastically varied career, a good part of that thanks to Microsoft. I have worked on low-level network stacks, created one of the first Internet firewalls, invented cryptographic protocols, worked on early smartwatches, built the first local search app, built a WeChat long before WeChat (OneApp), briefly worked on robotics applications, invented large scale distributed machine learning algorithms, ran applied machine learning teams (at eBay), built tools for data scientists and developers, and lost count how many compilers and virtual machines I have implemented over the years (compilers were my early first love). I have got to work with luminaries like Guido van Rossum and Anders Hejlsberg. Much of my work has spanned R&D and product, which is a fun place to be. Feeling thankful!
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Nicholas Moczarny reacted on thisNicholas Moczarny reacted on thisBittersweet, but here goes: Leaving Rippling has been hard because I truly loved my time there. The leadership, the insane growth, the friendships — I’ll always be grateful for every moment. I’ll be cheering Rippling on from afar and can’t wait to see all the amazing things ahead. That said, this next step felt meant to be. I’m incredibly excited (and very lucky) to join Harvey as a Business Recruiter. I’ll continue to focus on GTM recruiting, helping build amazing teams, and diving into the work I love. Grateful for the past, energized for what’s next.
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Nicholas Moczarny liked thisNicholas Moczarny liked thisLights. Camera. Auction! 🎬✨ The future of shopping isn't just a transaction.......it’s a show! We are officially in the era of "Shoppertainment," and eBay is doubling down on this global expansion. I’m hiring a founding team of Business Development and Account Management experts to help identify and grow the sellers who will define this platform. Why join? ✅ High-growth global impact ✅ Blending social media vibes with e-commerce scale ✅ Massive investment & visibility within eBay If you love the thrill of a startup environment backed by the power of a global giant, let’s talk! Come work with the amazing Jacob Hunter and Jay Holanda! Check out the roles in the comments! 👇 #eBay #Shoppertainment #AccountManagement #BizDev #eBayLive #LiveCommerce #Hiring #SalesJobs #TechCareers
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Nicholas Moczarny liked thisNicholas Moczarny liked thisProud moment for our team. We started working on mongot back in 2018, and it’s grown into a codebase that now powers MongoDB’s text and vector search at massive scale. Over the years, it’s become one of the most significant and widely used Lucene-based engines in production, shaped by real workloads and hard engineering problems. Making the engine source-available feels like a natural next step, and we’re excited to see what the community builds with it. https://lnkd.in/gN6ZxNhcNow Source Available: The Engine Powering MongoDB SearchNow Source Available: The Engine Powering MongoDB Search
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Nicholas Moczarny liked thisNicholas Moczarny liked thisHuge milestone for the Search & AI team! mongot, the engine that powers MongoDB Search and Vector Search, is now source available. We've been hard at work building the best way to run search at scale, and I'm thrilled that this work can now be seen and built upon by the community. I kicked off MongoDB .local SF last week with a talk on the design principles behind the system, along with a look under the hood at how everything fits together. Check out the talk and our announcement article below. We're hiring Engineers and PMs in SF, NYC, and Toronto, so if this work excites you, take a look at the openings below! 🎥 https://lnkd.in/gGujeNNa 📄 https://lnkd.in/gJUw-WAt 💼 Open roles: - https://lnkd.in/gxbiHiQd - https://lnkd.in/g7np7wbS - https://lnkd.in/gvKU5TQF - https://lnkd.in/gaZEwF96 - https://lnkd.in/gArKkrk6 - https://lnkd.in/gjUjbRE7
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