MongoDB

Lead Salesforce Engineer responsible for the architecture, design, and evolution of critical Salesforce and CRM solutions. This role involves technical leadership, hands-on solution design, stakeholder partnership, people management, and leveraging AI-powered development tools to improve productivity and platform health within a SaaS organization focused on sales processes.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

This role is a Senior Solutions Architect for MongoDB, focusing on pre-sales and customer success. The role involves guiding customers in designing and building scalable systems using MongoDB's data platform, collaborating with sales teams, and acting as a trusted advisor. While the role mentions AI/ML projects and RAG/AI architectures as areas of learning and potential customer engagement, the core responsibilities are centered around the MongoDB data platform and pre-sales technical consulting, not direct AI/ML model development or deployment.

Solutions Architect for MongoDB's Application Modernization Platform (AMP) team, focusing on accelerating the adoption of MongoDB by modernizing legacy applications using GenAI and deterministic tools. The role involves supporting sales and delivery of modernization engagements, including analyzing legacy code, transforming code, automated test generation, and side-by-side testing.

Customer Success Manager for MongoDB, focusing on maximizing customer lifetime value and success for a portfolio of accounts. The role involves advising customers on best practices, managing account plans for retention and revenue realization, and collaborating internally to advocate for customer needs. The role also leverages AI-driven tools to streamline workflows.

This role is a Solutions Architect for MongoDB, focusing on pre-sales technical guidance for customers. While the company is involved in AI and mentions "cutting edge RAG and AI Architectures" and "generative AI journey", the core responsibilities of this role are guiding customers on MongoDB's data platform, designing systems, and supporting the sales process. The role is not directly building or shipping AI models or agents, but rather advising on how to integrate MongoDB with AI solutions. The role is classified as Product function as it's customer-facing and product-focused within the sales cycle.

Staff Technical Program Manager at MongoDB, responsible for leading complex, cross-functional engineering programs. This role partners with Engineering, Product, and Design to execute product vision, solve technical challenges, and provide data-driven insights. The role requires strong technical acumen, program management experience, and the ability to influence improvements in tools and operations. While the company enables AI applications, this specific role focuses on program management rather than direct AI/ML development.

Senior Customer Success Manager role at MongoDB, focusing on managing customer relationships, ensuring technical success, driving adoption, and acting as a liaison between customers and internal teams (Product, Sales, Professional Services). The role requires strong technical aptitude, account management skills, and the ability to build and improve customer success programs. It involves strategic advising, risk mitigation, issue resolution, and contributing to product feedback and roadmap development. Fluency in Italian and English is required.

Director, Global Process Owner – Quote-to-Cash responsible for the end-to-end Quote-to-Cash process architecture, designing and governing scalable processes, establishing global standards, and resolving design tradeoffs. This role acts as a Finance design partner to IT, Product, Engineering, Deal Strategy, and Go-to-Market teams, focusing on long-term process architecture, operating model design, and simplification. Requires 10+ years of experience in Quote-to-Cash or related functions within a high-growth public-company SaaS environment.

This role is for an Account Development Representative at MongoDB, focused on identifying and qualifying new sales opportunities. It involves working with sales and marketing, understanding the product, and generating leads. The role is positioned as a first step in a sales career, with significant investment in training and development.

This role is for a Senior Field Marketing Manager at MongoDB, focusing on driving marketing strategy and execution for the Israeli market. The role involves engaging with C-level decision-makers and upskilling developer communities to promote MongoDB as a preferred platform, particularly for AI-era applications. It requires a strong understanding of B2B SaaS marketing, business outcomes, and developer enablement within a technology company.

This role is a Senior Business Value Consultant responsible for engaging with clients in a pre-sales and post-sales capacity to articulate and validate the business and financial value of MongoDB's solutions. The consultant will work with sales teams, conduct business and financial analyses, build business cases, and translate technical concepts into business benefits for enterprise clients. The role requires strong business and financial modeling expertise, experience in technology strategy consulting, and a deep understanding of enterprise infrastructure and software development methodologies.

This role is for an Account Development Representative at MongoDB, a company that provides a database platform for the AI era. The ADR will identify and qualify new sales opportunities, work with sales and marketing teams on outbound campaigns, and build relationships with decision-makers. The role requires strong communication and sales skills, with a desire to work in a fast-paced tech environment. While MongoDB is an AI-focused company, this specific role is in sales/business development and does not involve building AI models or systems.

This role is for a Principal Partner Specialist at MongoDB, focusing on driving partner awareness and generating new business through SI Partners. The role involves prospecting, pipeline generation, building partner relationships, and collaborating with sales teams to meet bookings objectives. While MongoDB's technology is relevant to the AI era, this specific role is in sales and partner management, not directly building AI models or systems.

Relationship Account Manager role focused on driving long-term partnerships with mature customers, creating expansion and evangelism. Responsibilities include acting as the primary point of contact, leveraging the MongoDB ecosystem to drive expansion and retention, and managing a book of strategic, enterprise accounts. Requires quota-carrying experience, a proven track record of hitting sales targets, and the ability to articulate the value of complex enterprise technology. Prior exposure to database, cloud, and infrastructure technology is a plus. Native Arabic speaker is a plus.

This is an Account Executive role focused on new business acquisition and revenue growth within an assigned territory. The role involves prospecting, building relationships with technical end-users and leaders, and partnering with internal teams and external partners to close deals. While the company mentions AI and its database platform is for the AI era, the core function of this role is sales, not AI/ML development or research.

Senior Software Engineer for MongoDB Atlas Clusters Platform, focusing on building and designing features for a large-scale, distributed database-as-a-service offering that interfaces with major cloud providers. The role involves leading technical projects, collaborating with stakeholders, and participating in an on-call rotation.

The Senior Manager, Startup & Ventures Marketing will expand MongoDB's AI-native marketing strategy and strengthen its presence across the startup and VC ecosystem in London. This role focuses on ecosystem engagement, community building, and scalable startup programming, involving relationship building with founders, VCs, accelerators, and startup communities. The position requires designing and executing programs, events, and partnerships to increase awareness and adoption of MongoDB within the startup ecosystem, including hackathons, demo nights, and founder dinners. It sits at the intersection of partnerships, community, events, and content, requiring both strategic shaping and hands-on execution.

Manager for a Pre-Sales Solutions Architecture team at MongoDB, focusing on helping enterprise customers build solutions using MongoDB's database platform, which is positioned for the AI era. The role involves leading and developing a team of architects, partnering with sales, and driving business growth.

This role is for a Senior Enterprise Account Executive focused on new business acquisition and revenue growth within an assigned territory. The primary responsibilities include prospecting, pipeline development, closing deals, and building customer relationships. While the company (MongoDB) is involved in the AI space and aims to empower customers to unleash AI, this specific role is a sales position and not directly involved in building or researching AI/ML models or systems.

Account Executive for MongoDB's Atlas platform, focusing on acquisition and growth in India. The role involves full-cycle sales, from prospecting to closing deals with CTOs, Engineering/IT leaders, and technical end-users. MongoDB is positioned to power modern AI applications, and this role contributes to that growth by selling their database platform.

This role is for a Senior Director of Compensation within MongoDB's People team. The primary focus is on optimizing and scaling global compensation programs, including strategy, design, and implementation, to attract, reward, and retain talent. The role involves advising senior leaders, managing compensation initiatives, and leading a team of compensation partners. While MongoDB is an AI company, this role is in HR/People Operations and does not directly involve building or shipping AI/ML models.

Senior Developer Advocate role at MongoDB focused on empowering developers, building community engagement, and delivering technical resources in India and APAC. Responsibilities include conducting workshops, creating content, and collaborating with marketing and other teams. Requires 5+ years of experience in technical enablement and community building.

Solutions Architect role focused on guiding customers to design and build reliable, scalable systems using MongoDB's data platform. The role involves technical sales, consulting, and advising customers on architectures and best practices, with a focus on customer success and leveraging MongoDB's solutions.

Project Manager for the Office of the CFO at MongoDB, focusing on operational excellence, strategic execution, and program management within the FinOps organization. Responsibilities include content development for leadership meetings, managing cross-functional projects, supporting executive communications, and driving process improvements. Requires strong program management, communication, and content development skills, with financial fluency.

This role is an Information Security Risk Program Manager responsible for the operational execution of the internal risk program. The role involves executing risk assessments, identifying and evaluating controls, and managing the risk register. While the role monitors and flags AI-related risks, its core function is enterprise risk management and compliance, not AI/ML development.

Engineering Manager for MongoDB Atlas Clusters Security team in Dublin. This role involves managing a team of individual contributors, contributing to code/design/architecture, working with stakeholders on roadmap, fixing issues with customers/support, and fostering an inclusive environment. Requires 6+ years of software development and 3+ years of people management experience, with skills in large-scale distributed backend systems and cloud providers. Experience with security features is a plus.

This role is responsible for the operational execution of an internal risk program, focusing on the daily execution of strategy. The Program Manager ensures the 'production line' of risk assessment, processing raw signals into actionable risk decisions. The ultimate objective is the reduction of uncertainty by providing leadership with a clear view of enterprise risks. The role involves working with Engineering and Product teams, guiding stakeholders through the risk intake process, and ensuring quality by scoping and quantifying risks. Key responsibilities include risk identification and assessment, control identification and assessment, risk categorization, reporting, and stakeholder engagement, with a focus on data integrity and governance hygiene. The role also involves monitoring emerging risks, including AI-related risks.

This role is for a Principal Analyst on the GTM Operations team at MongoDB, focusing on improving operational efficiency and data-informed decision-making across customer-facing teams like Sales and Customer Success. The role involves owning complex, cross-functional initiatives, translating business problems into technical requirements, and driving improvements in key operational metrics. While MongoDB mentions AI and its database platform for the AI era, this specific role is in GTM Operations and does not involve building or directly working with AI/ML models.

Account Executive, Growth role at MongoDB, focusing on new business acquisition and revenue growth within an assigned territory in São Paulo. The role involves prospecting, building relationships, and closing sales for MongoDB's developer data platform, which supports AI-powered applications.

This role focuses on building the next generation of the internal Atlas development platform to enable hundreds of MongoDB Atlas engineers. The team empowers autonomous product teams by investing in systems, tooling, and education to drive the developer platform, aiming to elevate the engineering experience and promote operational excellence for highly available, secure distributed systems.

Associate Recruiter role focused on full-lifecycle recruiting and passive talent sourcing for both technical and non-technical roles within MongoDB, a company that provides a database platform for AI.

This is an Associate Commercial Growth Account Executive role at MongoDB, focusing on expanding the usage of MongoDB Atlas (a developer data platform) within existing accounts. The role involves identifying new workloads, articulating the value of MongoDB's features, supporting customers, and developing relationships to drive adoption and satisfaction. It requires sales experience, a quota-driven mindset, and native Arabic speaking ability.

This role is for an Account Development Representative at MongoDB, focusing on identifying and qualifying new sales opportunities. The role involves working closely with sales and marketing teams, developing sales and product knowledge, and setting introductory meetings for the sales team. While the company mentions AI-powered applications, this role is not directly involved in building or researching AI/ML models.

Senior Product Manager to own the end-to-end MongoDB-to-MongoDB migration experience. This role requires setting product vision, making prioritization calls, defining roadmaps, and building deep technical understanding of migration tools. The PM will represent product direction to senior stakeholders, stay close to customers and field partners, and own existing migration products. Success metrics, analytics, and proactive cross-functional execution are key. Requires 5+ years of PM experience on complex, infrastructure-level products, technical fluency, customer obsession, strong communication, and decision-making skills under ambiguity.

MongoDB is seeking an Engagement Manager in Seoul, a quota-carrying Professional Services Sales role focused on scoping, negotiating, and closing Professional Services opportunities to accelerate customer adoption of MongoDB technologies. The role involves cross-functional collaboration with Sales, Professional Services, and Customer Success, managing the Professional Services pipeline, articulating business value, and working with practice and delivery teams to ensure successful project outcomes. Requires a minimum of 5 years of experience in Professional Services sales or technology solutions at an enterprise software company, with general knowledge of databases and software architecture.

This role is for a Senior Partner Specialist at MongoDB, focusing on growing business through strategic partnerships with Cloud and System Integrators (SI) in the Japan market. The specialist will develop and execute partner strategies, identify new revenue opportunities, and work with sales teams to accelerate deals and expand partner capabilities. The role requires extensive experience in quota-carrying sales through various partner channels, strong communication skills in Japanese and English, and strategic thinking to build and sustain differentiated partnerships. While MongoDB's platform supports AI initiatives, this specific role is centered on sales and business development through partners, not direct AI/ML development.

This role is for a Senior Commercial Growth Account Executive focused on acquisition within an assigned territory. The primary responsibilities include prospecting, identifying, nurturing, and closing new business opportunities, managing forecasts, and supervising customer data. The role also involves working with internal teams and partners to drive sales velocity and build customer solutions. The company, MongoDB, is described as a database platform for the AI era, but this specific role is a sales position.

MongoDB is seeking a Staff Developer Advocate to join their Strategic Builder Relations team. This role focuses on enabling large and important customers to use MongoDB technology effectively, driving adoption, and guiding development teams in designing for new or replatformed workloads. The ideal candidate will have deep MongoDB expertise, strong public speaking skills, and experience consulting with developers on data-related challenges.

Manager, Technology Recruiting role at MongoDB, focusing on leading a team to drive critical hiring across technical functions. The role emphasizes strategic partnership, operational excellence, data-driven insights, and leveraging innovative recruiting tools, including AI-enabled strategies, to attract top talent during a scaling phase. Requires strong leadership, strategic influence, and a builder's mentality in a fast-paced, high-growth technology environment.

This role supports communication and engagement with the investment community, assisting senior executives with financial analysis, investor presentations, and strategic narratives. It requires strong analytical and communication skills, with experience in investor relations or a related financial function.

Senior Director, HR Business Partnering role at MongoDB, partnering with the Chief Revenue Officer Leadership Team to develop and execute people strategies that drive growth, market expansion, and leadership development. This role focuses on strategic partnership, talent management, leadership development, organizational design, and culture, requiring extensive HR experience and leadership capabilities in a high-growth technology environment. The company mentions its role in the AI era and its database platform's relevance to AI, but this specific role is not directly involved in AI/ML development.

This role is for a Senior Specialist in Revenue Operations at MongoDB, a high-growth enterprise software company. The position involves leading revenue operations processes, including month-end close, booking entries, sales transaction review, and revenue/deferred revenue reconciliations. The role requires knowledge of revenue operations, revenue recognition, US GAAP, ASC 606, and experience in a SOX-controlled environment. The candidate will analyze sales transactions, support revenue stream reviews, perform contract analyses, validate data for revenue recognition, and assist with audits and forecasting. This is a hybrid role based in Gurugram, reporting to the Manager of Revenue.

This role is a Senior Manager for Global Deal Strategy at MongoDB, focusing on enabling large, strategic sales opportunities. The position involves optimizing deal cycles, improving revenue and margins, and driving cross-functional collaboration. While the company mentions AI and deploying AI solutions, this specific role is in sales strategy and operations, not directly building or researching AI models. It requires people management and experience in software industry deal strategy, finance, or sales operations.

This role is a Senior Manager of Marketplace Operations at MongoDB, focusing on the end-to-end "Order-to-Cash" strategy for the company's cloud marketplace business. The role involves managing financial operations, ensuring billing accuracy, collections, and cash application across major cloud providers. It requires strategic leadership, process transformation, stakeholder management, and team development, with a strong emphasis on financial controls and compliance (SOX). While the company mentions AI and its database platform being for the AI era, this specific role is in finance operations and does not involve building or directly working with AI/ML models.

Product Manager for MongoDB's core database replication and storage engines, focusing on durability, availability, and performance for mission-critical workloads. Requires strong technical understanding of distributed systems and databases, ability to translate customer issues into engineering priorities, and experience shipping in complex technical environments.