Full-Time
Growth Marketing Manager
Posted on 8/25/2023
MongoDB
5,001-10,000 employees
Developer data platform and cloud database
No salary listed
Company Historically Provides H1B Sponsorship
Remote in USA + 3 more
More locations: San Francisco, CA, USA | Austin, TX, USA | New York, NY, USA
 Growth & Marketing |
|---|
- 4+ years of B2D or B2B experience in growth marketing, lifecycle marketing, or account-based marketing (ABM), ideally in SaaS/Self-Serve. Product-led growth and 2+ years of experience in marketing to a technical audiencedesired
- Past experience working on lead flow with human-assisted growth (Sales, Customer Success) and GTM operational teams are a plus
- Drive to provide the best possible experience to our users and understanding of how to drive customer engagement and product usage through value-based marketing
- Understanding of and appreciation for the big picture (market, customers, company) but also the details to successfully scale programs and how to objectively measure your efforts and make decisions based on data
- A collaborative mindset - you love working with others and incorporating relevant feedback in a highly cross-functional environment
- An owner mentality - you take complete ownership of your tasks and champion efforts to get them to completion even if it means challenging the status quo
- Flexibility and adaptability - you enjoy working in ambiguity. You are calm and effective under pressure and able to pivot quickly. You excel at task prioritization and proper evaluation of situational urgency
- Focus and drive - you know what matters and apply yourself with gusto. You have a growth mindset and continuously explore how you can learn and execute faster
- Partner closely with the Sales, Analytics, Marketing Operations and Product teams to create digital experiences for self-serve customers and assist with Sales and Monetization motions
- Support Sales in the lead flow process to help drive customers to value faster and develop effective campaigns, content, and initiatives for a seamless transition for customers to go from self-serve to sales-sold
- Design experiments and A/B tests to optimize user habit, retention and usage through digital and human-assisted motions
- Working collaboratively with our Sales, Customer Success and Product teams to align messaging and create compelling content and campaigns that drive customer engagement
- Perform strategic product, market, and customer analyses to identify new growth drivers or opportunities for improvement and uncover and leverage new emerging channels to accelerate growth and workload expansion
- Deeply assess our entire customer journey to identify, champion, and drive the cross-functional execution of optimizations that will yield greater leverage and scale in the business
- Monitor, analyze, and report KPIs to ensure marketing initiatives reach revenue objectives
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
Simplify's Take
What believers are saying
- Atlas reached a $2 billion annualized run rate in March 2026.
- Emergent Labs chose MongoDB Atlas over PostgreSQL for its $100 million ARR AI coding platform.
- The €74 million Ireland expansion adds about 200 roles by 2027, strengthening execution.
What critics are saying
- Conservative fiscal 2027 guidance of 16%-18% growth signals Atlas consumption deceleration.
- Self-managed search and vector search erode Atlas exclusivity and weaken premium cloud pricing.
- The securities class action and fiduciary investigation will drain management attention and raise settlement costs.
What makes MongoDB unique
- MongoDB Atlas unifies operational data, vector search, and full-text search in one platform.
- MongoDB 8.3 added automated Voyage embeddings and LangGraph.js memory for production agents.
- September 17, 2025 self-managed vector search expanded native AI features beyond Atlas.
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Growth & Insights and Company News
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↑ 0%The race to deploy AI agents is exposing a critical gap in enterprise data management. As AI agents demand real-time access to live, governed data, database lifecycle management has moved from a back-office task to a strategic imperative for enterprise infrastructure. The complexity of modern environments means developers can no longer afford to manage fragmented data silos manually, according to Ashish Mohindroo (pictured, right), general manager and senior vice president of Nutanix Inc. A new partnership with MongoDB Inc. addresses that problem directly, integrating MongoDB's document database capabilities into the Nutanix Cloud Platform to give organizations a single set of APIs for automating the entire database lifecycle - from provisioning to recovery - so teams can focus on building intelligent applications instead of managing infrastructure. "What we are doing with this partnership with MongoDB is really... hardening that platform to make sure that our customers can run enterprise scale systems without any disruption," Mohindroo said. "We have [Nutanix Database Service], which is our database-as-a-service platform, and we certify that with MongoDB so that we can run MongoDB in any configuration, whether it's replica sets or sharded clusters." Mohindroo and Olivier Zieleniecki (left), global vice president of partners at MongoDB, spoke with theCUBE's John Furrier and co-host Alison Kosik at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the hardening of the data layer, the Nutanix-MongoDB partnership and how unified database lifecycle management is accelerating the transition to AI-native architectures. (* Disclosure below.) Simplifying database lifecycle management across the hybrid data stack. The integration of Nutanix Database Service with MongoDB Ops Manager aims to help organizations simplify and accelerate operations across the entire deployment lifecycle, whether that be on-premises or the cloud, Zieleniecki noted. This co-designed approach ensures that joint customers can standardize their operations while maintaining the deep, MongoDB-specific intelligence their applications depend on. "The availability of this new solution, which is going to be a production-ready solution for our joint customers, really fills a gap in what we had, which was to be able... to have a managed service for that for the on-prem or for the hybrid customers," he said. "That's something that we already see a big demand [for] in the market." Underlying the partnership is a shared conviction that AI outcomes are only as good as the data infrastructure beneath them. Streamlining database lifecycle management - particularly business continuity and rapid recovery - emerged as one of the most critical benefits of running MongoDB on Nutanix Database Service, Mohindroo noted. "If you feed a system bad data, you're going to get bad outcomes," Mohindroo said. "If you can't have the systems up and running that are feeding that data, then you have a bigger problem - and that's where the two companies come together." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Nutanix .NEXT 2026: (* Disclosure: TheCUBE is a paid media partner for Nutanix .NEXT 2026. Neither Nutanix, the sponsor of theCUBE's event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
Nutanix has announced a certified integration between its Nutanix Database Service platform and MongoDB Ops Manager, combining infrastructure automation with database management to simplify MongoDB operations. The integration, now generally available in NDB 2.10, enables streamlined lifecycle management and data protection for business-critical environments. The integration allows automated provisioning of MongoDB sharded clusters in minutes, reducing processes that previously required multiday coordination. Key features include point-in-time recovery down to seconds, snapshot-based recovery workflows designed for faster outcomes, and comprehensive operational visibility across deployments. The solution is available for customers with a MongoDB Enterprise Advanced licence and supports MongoDB sharded cluster deployments. Nutanix serves more than 30,000 customers worldwide.
Harmonic, an AI startup co-founded by Robinhood CEO Vlad Tenev, has raised $120 million in a Series C round led by Ribbit Capital, valuing the company at $1.45 billion. Sequoia and Kleiner Perkins participated, with Emerson Collective joining as a new backer. The pre-revenue company is developing Mathematical Superintelligence, an AI system that eliminates hallucinations by requiring outputs as verifiable code in Lean4 programming language. Its Aristotle model achieved top-level performance at the International Mathematical Olympiad alongside Google and OpenAI. Founded in 2023, Harmonic has raised $295 million across three rounds in 14 months. The funding will support computing power for model training. The company offers Aristotle via free API and targets commercialisation in safety-critical sectors like aerospace and finance.
MongoDB to focus on select partners with APAC program. 31 Mar 2026 2 mins Targeting businesses with deep local expertise. MongoDB has rolled out the Asia Pacific (APAC) Strategic Partner Program, which will be invite-only, to push the transition towards AI-driven applications. The APAC Strategic Partner Program was built to locate and invest a select group of partners that hold deep architectural expertise, local knowledge and key relationships to increase the uptake of AI. It will also run alongside its existing partner program. Prioritising deep local expertise, the program offers two examples of the level of specificity in question being sovereignty laws in Singapore and financial regulations in India. The benefits of the new program include preferential access to specialised Architect and Application Delivery certifications, co-marketing toolkits, ready-to-use assets, and best-practice playbooks. According to MongoDB the goal of the APAC program is to strive for intentional engagement, rather than simple tactical or transactional support. The vendor is also making other investments into its channel initiatives in the region, including plans to "significantly" increase the size of its APAC partner team and to quadruple its partner ecosystem in region by the end of its fiscal year. "We have successfully built a first-class partner ecosystem across the region. However, the complexity of generative AI deployment and legacy modernisation demand an evolved partner engagement model focused on deep, strategic alignment," said MongoDB APAC vice president of partners Bidhan Roy. "We are identifying partners who have outstanding local capabilities and investing heavily in their success to create an ecosystem of force multipliers across the Asia Pacific region. For our joint customers, this initiative aims to reduce delivery risk, reduce time-to-market, and provide access to trusted advisors who can pull together all the necessary elements - technology, skills, and strategy - to make AI a reality." Don't miss a thing From its editors straight to your inbox. Get started by entering your email address below. Sasha Karen is a nationally recognised highly commended senior journalist at ARN. With a decade's worth of experience, Sasha serves the local channel community with news and inspiration about channel partners.
Mongodb Inc (NASDAQ:MDB) gets Outperform rating. Mongodb Inc (NASDAQ:MDB) stock fell 4.17% (As on March 24, 11:24:48 AM UTC-4, Source: Google Finance) after Mizuho upgraded the company to Outperform from Neutral with a price target of $325, up from $290, citing durable growth drivers with an AI tailwind. The firm sees a "compelling" share setup post the company's fiscal Q4 report. Analysts led by Siti Panigrahi said MongoDB's growth profile has inflected meaningfully: record fiscal year 2026 net customer adds of 10.7K (up 60% year-over-year), net revenue retention, or NRR, improving from 118% to 121%, and headcount growing just 1% against 23% revenue growth signal a business entering a new phase of efficient, durable growth. The analysts added that new CEO CJ Desai's retooled go-to-market combines deep Fortune 500, or F500, relationships with a renewed developer focus, supported by platform expansion well beyond the core document database. The company see AI as a structural tailwind, with vibe coding expanding application creation and AI-enabled apps requiring more database workloads per application. The company view the FY27 guide as deliberately conservative and its bottom-up work models FY27 revenue upside of $3.07B (25% growth) vs. Street at $2.90B (18%), with meaningful margin upside. The post-FQ4 dislocation (sold off ~24% vs. IGV flat) represents a favorable entry point," said Panigrahi and his team. Meanwhile, at its flagship MongoDB.local San Francisco event, MongoDB announced the integration of its core database with industry-leading embedding and reranking models from Voyage AI by MongoDB. This integration creates a unified data intelligence layer for production AI, allowing developers to build sophisticated applications at scale with reduced hallucination risk and no requirement to move or duplicate data. MongoDB has also introduced a set of new AI capabilities designed to simplify how intelligent applications are built and operated. The launch included five new embedding models from Voyage AI by MongoDB (including the Voyage 4 series), Automated Embedding for MongoDB Community Vector Search, and new embedding and reranking AI model APIs for Atlas. Additionally, MongoDB launched an AI-powered data operations assistant for MongoDB Compass and Atlas Data Explorer. In addition, MongoDB announced an expansion to its MongoDB for Startups program; a reciprocal partner ecosystem that gives AI-first startups a production-ready data foundation and integrated stack from day one. MongoDB for Startups members now represent more than $200 billion in aggregate valuation, and MongoDB is increasing its Bay Area investment to deepen engagement with high-growth AI founders and drive long-term AI workloads on MongoDB.