Full-Time
Developer data platform and cloud database
No salary listed
Dublin, Ireland
Hybrid
Hybrid working model; candidates should be based in Dublin.
Bachelor's
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MongoDB provides a modern database platform for developers and businesses. Its main products are the MongoDB database and Atlas, a fully managed cloud database service, plus integrated services. The platform uses a flexible document data model and Atlas handles hosting, upgrades, backups, security, and global distribution to keep apps scalable and reliable. It monetizes through subscription and usage-based pricing across Atlas, on-prem licenses, and support, serving startups to large enterprises; its goal is to help teams build and deploy secure, scalable applications quickly with data available everywhere.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2007
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Family Support Programs
Flexible PTO
Fertility and Adoption Assistance
Employee Affinity Groups
Transgender Benefits and Support
Mental Health
Wellness Events and Programs
Global Mobility
Mainframe Modernisation with MongoDB as operational data layer. Blue Turtle Technologies is hosting a Mainframe Modernization event together with MongoDB. Mainframes continue to play a critical role in many organisations. As digital demands grow and the need for faster access to data increases, businesses are exploring how they can modernise their environments without disrupting the systems they rely on. Join Blue Turtle for a morning of practical discussion around mainframe modernisation and the role MongoDB can play as an operational data layer. Together, Blue Turtle'll explore a progressive approach to modernisation, allowing organisations to start with the right workload, demonstrate value and evolve over time, rather than taking on an all at once replacement programme. Event agenda - 7 october 2026. 09:00 - 09:30 | Registration, Breakfast and Networking 09:30 - 09:40 | Welcome and Event Introduction 09:40 - 10:40 | Why MongoDB for Mainframe Modernisation 10:40 - 10:55 | Coffee Break and Networking 10:55 - 11:55 | The Progressive Mainframe Modernisation Journey 11:55 - 12:25 | Technical Q&A and Open Discussion 12:25 - 14:00 | Lunch, Networking and Solution Discussions Event value proposition. Mainframe modernisation does not need to be an all-at-once replacement programme. organisations can start with a high-value workload and use MongoDB's operational data layer to reduce avoidable mainframe reads, contention, and consumption; consolidate duplicated read paths; and simplify access to operational data. That same layer can provide queryable, application-ready views for operational dashboards, reporting, and data products, enriched with web, mobile, and third-party context for near-real-time insight. By making current customer, account, product, and transaction context available through modern applications and services, MongoDB can also support AI use cases such as fraud detection, risk scoring, personalization, and next-best action. The event will show how to identify and measure value by workload or domain, not promise a blanket saving, and how MongoDB complements the wider enterprise warehouse, lake, data, and AI platforms. Attendees should leave with a clear understanding of where MongoDB fits, which workload could be a credible starting point, and how a measured first step can evolve into broader modernisation. MongoDB value proposition in this context. Cost savings * Reduce avoidable mainframe reads, contention, and consumption by serving eligible digital, API, reporting, and integration workloads from MongoDB. * Consolidate duplicated read paths and simplify integration around a scalable operational platform. * For migrated domains, reduce long-term dependency on mainframe data access and legacy data tiers. * Frame savings as measurable potential, not a blanket promise: the value depends on workload profile, architecture, platform costs, and successful decommissioning. BI and analytics * Provide a queryable, application-ready view of mainframe data for operational dashboards/reporting and data products. * Combine mainframe data with web, mobile, and third-party context to create richer customer, product, policy, or transaction views. * Support near-real-time operational insight without placing heavy analytical reads on the core mainframe. * Position MongoDB as the operational and low-latency layer that complements, rather than automatically replaces, enterprise warehouses and data lakes. * Make current customer, account, product, and transaction context available to AI-enabled applications and decision services. * Support low-latency retrieval for use cases such as next-best action, fraud detection, churn intervention, risk scoring, and personalization. * Provide an operational source for AI features and applications while fitting into the wider enterprise data, model governance, and AI platform. * For modernised applications, support capabilities such as vector search and retrieval-augmented experiences where they fit the target architecture.
Gunjan Kumar appointed director-employee experience India, MongoDB. Kumar moves to the software development company from HSBC where he was VP-HR for almost 3 years After serving as vice president-human resources at HSBC for almost three years, Gunjan Kumar has now joined MongoDB as director-employee experience, India. Armed with a BTech in Electrical Engineering, Gunjan Kumar went on to complete a PGP in Human Resource Management from Management Development Institute in 2013. The initial few years of his career were spent as a manager-vendor development, at Tata Motors (from 2007 to 2011). He then interned with Tata Sons and SimplyHR Solutions before joining Indian Oil as human resources officer in 2013. Less than two years later he moved to Myntra.com where he served as human resources business partner for over a year. Amazon roped him in for the role of human resources manager (business partnering, HR compliance and ER), in June 2016. Over four and a half years into this role he was elevated to senior human resources business partner for over two years. Another promotion in January of 2023 made him regional leader-HR (ER). In this role, he led HR strategy and workforce governance for large-scale operations across the North & East regions. He also acted as senior HR partner to operations leadership on workforce planning, employee matters, compliance, and organisational stability during periods of rapid growth and change. It was in September of 2023 that he came to be associated with HSBC as vice president-human resources. He provided global HR business partnering support while leading business change / global transformation COE for HSBC's offshore infrastructure entities (GCCs/GSCs and Technology Centres) across eight countries. HRKatha wishes Gunja Kumar all the best as he prepares to drive employee experience in India for MongoDB, the global tech firm headquartered in New York with over 5000 employees worldwide.
Rosenblatt raises MongoDB (MDB) price target despite Atlas Growth concerns. Published on September 2, 2026 at 12:38 pm by ali ahmed in hedge funds, news. On September 2, Rosenblatt raised its price target on MongoDB, Inc. (NASDAQ:MDB) from $395 to $445 while maintaining a Buy rating. This update came after the company reported its second-quarter fiscal 2027 results. The company delivered stronger-than-expected revenue growth, improved profitability and raised its full-year outlook. MongoDB, Inc. (NASDAQ:MDB) reported second-quarter revenue growth of 30%, surpassing both Rosenblatt's estimate and consensus expectations by about 5%. However, the stock declined more than 12% in pre-market trading following the results, as investors focused on the pace of growth in the company's Atlas cloud business. The company's Atlas business grew 29% year-over-year and accounted for 73% of total revenue, with its run-rate surpassing $2 billion. This growth was ahead of Rosenblatt's estimate of 26%. MongoDB, Inc.'s (NASDAQ:MDB) non-Atlas on-premise business grew 36% year-over-year. Customer growth also remained strong as the company added a record 2,900 customers in the second quarter. The number of Voyage customers nearly doubled from the previous quarter. MongoDB, Inc. (NASDAQ:MDB) also reported a non-GAAP operating margin of 24%, up significantly from 15% a year ago, to beat Rosenblatt's estimate of 21%. The company nearly doubled its free cash flow year-over-year to $137.6 million, further highlighting the improvement in the financial performance. MongoDB, Inc. (NASDAQ:MDB) also lifted its fiscal 2027 revenue outlook by about 2% to a range of $2.99 billion to $3.03 billion, compared with the previous estimate of $2.96 billion. The company expects its operating margin to be around 21%. Bear Case: Investors Expected Faster Atlas Growth Despite the strong quarterly results and higher guidance, the stock fell sharply after the earnings report. CEO Chirantan "CJ" Desai said he was "surprised" and "disappointed" by the stock's decline, arguing that MongoDB, Inc. (NASDAQ:MDB) had delivered a strong quarter and raised its outlook despite concerns about Atlas growth. Mizuho Securities analyst Jordan Klein pointed out that major hedge funds had privately expected Atlas revenue growth of between 30.5% and 31%. Klein also noted that shares had gained 21.3% in the past month, leaving little room for disappointment. The company's reported 29% growth appears to have fallen short of some of the expectations already reflected in the stock. Desai defended Atlas' performance and said that the business continues to grow and add significant revenue. He said the main question for investors is when Atlas growth will begin to accelerate, adding that "it's not if, it's just when." In an interview with CNBC, the CEO said an inflection in Atlas growth "could be just a few quarters away." However, the company cannot determine the exact timing. It is worth noting that MongoDB, Inc. (NASDAQ:MDB) raised its full-year Atlas outlook by 300 basis points. Hedge Fund Interest Hedge fund interest in MongoDB, Inc. (NASDAQ:MDB) has also weakened recently. According to Insider Monkey's database, 69 hedge funds held positions in the stock in the second quarter of 2026, down from 74 funds in the first quarter. Investors continue to weigh the company's strong profitability improvements and higher guidance against concerns about the pace of growth for the company's cloud business. The sharp market reaction suggests that delivering strong results alone may not be enough if investors continue to expect an acceleration in Atlas growth.
MongoDB just delivered a beat and raise quarter - so why is the stock falling? The cloud-native database specialist delivered everything shareholders expected. Turns out they wanted more. Key points. * MongoDB's results beat analysts' consensus estimates by a wide margin, but that wasn't enough. * The company delivered revenue that grew at its fastest pace in years. * Investors have difficulty rectifying MongoDB's premium valuation and its tepid Q3 guidance. * 10 stocks The Motley Fool, LLC like better than MongoDB" Investors simply don't know what to make of MongoDB (MDB -4.23%). The cloud-native database specialist has been caught up in the popular narrative that artificial intelligence (AI) will eliminate the need for most enterprise software, thereby spelling the end for software-as-a-service (SaaS) companies - including MongoDB. That's an intriguing story, but largely false, as reality is much more complicated. Expectations were high heading into the company's quarterly financial report, as investors sought insight into MongoDB's future. Unfortunately, despite delivering a beat-and-raise quarter, confidence remained elusive, and the stock was down roughly 14% in after-hours trading (as of 8:05 p.m. ET). Let's take a look at the numbers, how MongoDB performed, and why investors panned the results. Beat and raise. For its fiscal 2027 second quarter (ended July 31), both sales and profit growth came in ahead of expectations. MongoDB delivered revenue that climbed 30% year over year to $772 million - marking its highest rate of growth in several years. The results were fueled by subscription revenue that grew 31% to $747 million, while services revenue climbed 29% to $24.6 million. At the same time, the company expanded its gross profit margin to 74%, up from 71% in the year-ago period. The bottom-line results were equally impressive. MongoDB generated an adjusted net income that climbed 86% to $163 million. This resulted in adjusted earnings per share that jumped 90% to $1.90. For context, analysts' consensus estimates called for revenue of $734 million and adjusted EPS of $1.61, so MongoDB surpassed both benchmarks with ease. Where to invest $1,000 right now. When its analyst team has a stock tip, it can pay to listen. After all, Stock Advisor's total average return is 978%* - a market-crushing outperformance compared to 213% for the S&P 500. They just revealed what they believe are the 10 best stocks for investors to buy right now, available when you join Stock Advisor. *Stock Advisor returns as of September 2, 2026. The company continues to add customers to its fully hosted database-as-a-service solution - Atlas - which grew revenue by 29% year over year and now represents 73% of the company's total sales. Helping power the results was MongoDB's robust customer growth. The company added 2,900 customers during the quarter, bringing the total to 70,600, up 18% year over year. Perhaps more importantly, MongoDB's most valuable customers - those spending more than $100,000 or more in annual recurring revenue (ARR) - climbed to 2,999, up 17%. Moreover, customers deploying AI on Atlas grew to 30% of ARR. A robust forecast. For the upcoming third quarter, MongoDB is forecasting revenue of $759 million and adjusted EPS of $1.59, representing growth of 21% and 20%, respectively, at the midpoint of its guidance. Management also raised MongoDB's full-year forecast following its robust performance. The company is now guiding for revenue of roughly $3 billion, representing growth of 22% at the midpoint of its guidance, which the company says is mainly due to the strength of Atlas. There was a corresponding increase in its profit outlook, with EPS guidance of roughly $6.49, also at the midpoint. The forecast came in well ahead of analysts' consensus estimates for revenue of $2.96 billion and adjusted EPS of $6.13. Premium Feature Moneyball Superscore ( -4.23 %) $ -19.16 Current Price Key data points. Market Cap Day's Range $ 430.52 - $ 448.68 52wk Range $ 215.68 - $ 473.10 Gross Margin Why is the stock down? While most of the numbers were good news, investors took issue with MongoDB's Q3 guidance. After turning in a quarter with sales and profit growth of 30% and 90%, respectively, its forecast of roughly 20% growth was something of a letdown. Enterprise software companies have been under scrutiny lately, driven by the aforementioned AI-related concerns. As such, investors were looking for reassurance that this quarter wasn't a one-off, and MongoDB's Q3 guidance did little to quell those fears. While that issue certainly bears watching, I think the after-hours sell-off is overdone. That said, even after the decline, MongoDB stock is still pricey, at 59 times next year's expected earnings. It's difficult for investors to justify a premium valuation when the company is guiding for 20% growth. Should you buy stock in MongoDB right now? Before you buy stock in MongoDB, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now... and MongoDB wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of its recommendation, you'd have $437,097!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of its recommendation, you'd have $1,355,077!* Now, it's worth noting Stock Advisor's total average return is 978% - a market-crushing outperformance compared to 213% for the S&P 500. 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MongoDB names Richard Scott Head of Asia Pacific and Japan as enterprises move AI from pilot to production. Former Salesforce, Microsoft, and SAP leader joins as Senior Vice President to accelerate growth and adoption in the region. MongoDB, Inc. today announced that Richard Scott has joined the company as Senior Vice President, Asia Pacific and Japan (APJ). Based in Sydney, Scott will lead MongoDB's regional strategy as organisations move AI from pilot projects into production at scale. MongoDB's intelligent data platform is trusted by leading companies across the region - including enterprise leaders like LGU+, Cathay Pacific, Samsung, and Woolworths - as well as fast-growing and AI-native companies like Heidi, Zomato, Canva, Grab, and Emergent. With thousands of customers and more than 1,200 employees in APJ, MongoDB is investing heavily throughout the region. In May the company opened a new office in Kuala Lumpur and will be opening a new Tokyo office in September, with increased investment in Japan in the coming months. Large engineering teams in India and Australia continue to expand, and in June MongoDB for Academia announced it will upskill 2 million developers in India by 2030 with vital data and AI skills. Scott will focus on accelerating the company's growth and adoption across the region. MongoDB helps customers move AI into production by bringing real-time data, vector search, hybrid search and AI capabilities like Voyage AI embeddings and reranking together on one platform. This means enterprises and builders can speed up innovation, reduce complexity, and improve accuracy for their AI applications. Scott is a senior technology executive with more than 25 years of experience helping organisations transform. Prior to joining MongoDB, Scott was the Senior Vice President for APJ at Salesforce. He has also held senior leadership roles at Informatica, Microsoft, SAP and IBM. "Richard joins at a pivotal moment. Our customers across the region - from Sydney to Seoul to Mumbai - are moving past experimenting with AI, and are looking to us to help them run AI in production," said MongoDB Chief Revenue Officer Ryan Mac Ban. "His 25 years building enterprise businesses in Asia Pacific, combined with his strategic vision and customer-first mindset, gives him the experience and credibility to accelerate that transition." "Solving the data layer is going to be the defining technology question for organisations in the AI era," said Richard Scott, Senior Vice President, MongoDB APJ. "MongoDB is already loved by developers and trusted by market leaders but we are still only at the beginning of a massive shift in how technology is built and used. My focus is to align our partners, community, and regional teams to help customers modernise and deploy AI applications with speed and confidence."