Join to apply for the Senior Product Manager, Python Developer Experience role at MongoDB MongoDB’s Developer Experience organization is responsible for ensuring developers across every major language ecosystem can use MongoDB seamlessly, intuitively, and idiomatically. We build and maintain the rich set of client libraries and integrations that serve as the primary interfaces to the database, spanning more than ten programming languages and frameworks. We’re looking for a Senior Product Manager for Python Developer Experience who will champion MongoDB’s relationship with the Python community, ensuring Python developers and data scientists have the best possible experience using MongoDB. You’ll define the strategy and roadmap for our Python driver, integrations (such as with Django, Flask and FastAPI), and tooling, informed by the needs of the ecosystem. You’ll collaborate closely with a world‑class, globally distributed engineering team, but your focus is outward: understanding and serving Python developers where they are. You’re a strong fit if you have hands‑on experience building with Python and can translate developer pain points into clear, actionable product direction. You thrive at the intersection of code and product, care deeply about developer experience, and have a passion for learning, experimentation, and community engagement. You will own the strategic vision, product strategy, and roadmap for how MongoDB serves Python developers—defining how our portfolio of client libraries, framework integrations, and ecosystem partnerships should evolve to meet both current developer expectations and future trends in the Python ecosystem. Your work will shape how developers build with MongoDB, ensuring a seamless, idiomatic experience that balances short‑term developer needs with long‑term platform differentiation and secures MongoDB’s place at the center of modern Python stacks such as the FARM stack. You will collaborate closely with engineering, documentation, DevRel, and community teams to deliver a cohesive developer experience, and act as a champion for the Python ecosystem within MongoDB. You’ll stay ahead of trends, identify strategic opportunities, and make evidence‑based decisions that drive adoption and delight. As part of onboarding, you will build and document an application using MongoDB and a Python framework of your choice to gain firsthand insight into the developer experience. You’ll also engage directly with community forums, conferences, and open‑source contributors to deepen your understanding, validate direction, and build trust with developers. We are looking to speak to candidates who are based in Dublin for our hybrid working model. About the Team We are a highly collaborative team of Product Managers, Engineers, Product Analysts, and Product Marketers all working together to make the experience of working with data easy and enjoyable for developers. We are a distributed team; stretching from our offices in Dublin and NYC to other locations in Europe, the US and Canada. Every now and then, we all meet in one place for project kickoffs, workshops, and other team events. Ideal Candidate Profile 3-5 years of product management experience with a track record of shipping developer‑facing tools, integrations or APIs 3-5 years of commercial experience developing web applications in Python (the interviews for this position will include a live coding component meant to showcase your understanding of idioms, patterns, and evolving runtime environments) – including Django, FastAPI, and Flask Experience with or exposure to Machine Learning and Data Science concepts and tools, including familiarity with common ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data analysis libraries (e.g., Pandas, NumPy), as well as an understanding of data pipelines and model deployment Experience with AI development, including familiarity with Python AI frameworks and libraries such as Langchain, Langgraph, or LlamaIndex for deploying and managing AI solutions Ability to communicate sophisticated technical concepts simply and convincingly to a wide range of audiences Ability to distill customer use cases and requirements, write comprehensive business cases and execute on them Curiosity, a positive attitude, and a drive to continue learning Fosters an inclusive and respectful work environment according to MongoDB’s Core Values Position Expectations Explore the problem space, build connections with your customer‑base, interact with users in the Python community, formulate the vision and strategy, and maintain the roadmap for your area, keeping it aligned with the company’s strategic priorities Deeply understand all aspects of the business – your job is to ensure a business outcome, not just product definition! Work closely with the product marketing and engineering teams to design, architect, implement and ship new capabilities of the MongoDB developer experience to delight users Collect and analyze data that will drive product decisions Work with thought leaders from the respective language communities, establish credibility, and weigh in discussions Keep your pulse on software engineering trends across language communities and advocate for new languages, frameworks, etc. to be added to our portfolio Engage in various go‑to‑market activities such as collaborating on a marketing campaign, running a survey, or producing sales messaging Success Measures In three months: onboard on current MongoDB technologies & tools, build an application with Python and MongoDB, publish it on GitHub; triage new issues with engineering, take ownership of the existing roadmap and product backlog; build relationships within the globally distributed team In six months: review and refine existing user stories and JIRA issues, prioritize and execute them with engineering; research new and existing markets, identify new trends and initiate methodical exploration In nine months: deliver at least two GA releases of tier‑1 drivers or integrations, several service releases, delight users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables), identify new opportunities & refine your roadmap, contribute to other projects, present to customers, user groups, and conferences, and gain strong support from your team and stakeholders MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. #J-18808-Ljbffr
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Dublin for our hybrid working model. As an ideal candidate, you will have: 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle A Bachelor’s degree or equivalent work experience You may also have: Experience developing, deploying, or supporting applications with any of the major cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message A MongoDB Certification A Cloud Provider Certification What you do at MongoDB: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events Foster strong customer relationships, build champions and ensure customer success and satisfaction Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends What you will learn: MongoDB Product Suite Mastery: Core Database Server: Master the fundamentals and advanced features of MongoDB's core database Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies: Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Modern Architecture Design: Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space Sales Techniques and Soft Skills: Effective Communication: Master presentations, demonstrations, and whiteboarding Client Interaction: Develop strategies for discovery and objection handling Industry Insights: Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. #J-18808-Ljbffr
A global technology company is seeking a Pre-Sales Solution Architect in Dublin. This role involves guiding customers in designing reliable systems using the company's data platform, collaborating with sales teams to enhance customer success, and leveraging modern technologies. Candidates should possess strong technical skills, customer-facing experience, and a Bachelor's degree. This hybrid position offers a unique opportunity to work with various enterprise customers while contributing to innovative solutions. #J-18808-Ljbffr
A leading cloud database company is seeking a Senior Engineer to join their Migration Services team. This position involves designing and building scalable data migration solutions and collaborating with multiple teams to enhance product features. The ideal candidate will have over 5 years of backend engineering experience and be skilled in distributed systems. This role offers flexibility to work from the Dublin office or remotely in Ireland and promises opportunities for professional growth and mentorship within an innovative environment. #J-18808-Ljbffr
MongoDB is seeking a Senior Software Engineer to join the Education AI Team. Our team works on the cutting edge of modern generative AI technology to understand and empower builders that use AI. Our work is used both internally and externally by thousands of learners and builders. We own and operate the system that powers MongoDB’s AI Assistant, which supports natural language Q&A as well as agentic tasks in MongoDB’s products including Atlas, Compass, technical documentation, and more. We also analyze usage and accuracy across internal and external AI systems to ensure that MongoDB developers have access to correct information wherever they are. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Has built and shipped a modern agentic application Understands foundational technologies like LLMs and search Is proficient in modern AI engineering practices like context engineering (chain-of-thought, few shot, etc.), evaluation, and retrieval-augmented generation Has a deep understanding of TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has at least 5 years of experience as a software engineer At MongoDB, you will Build new features for the MongoDB Assistant Orchestrate the integration of the MongoDB Assistant into MongoDB’s products Create and maintain robust evaluation suites for key MongoDB topic areas Analyze user behavior and model performance to identify knowledge gaps Have opportunities to speak and write about our work in the AI space Work with some of the best and brightest engineers in the industry who thrive on collaboration, technical excellence and mutual respect Show curiosity, collaborative thinking, and intellectual honesty Are product-minded and customer-obsessed Are excited by modern AI and agentic applications Are adaptable and keen to experiment Have excellent written and verbal communication skills About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 4263293336 LATAM/CANADA/EMEA/APAC/MEXICO Voluntary Demographic Questions At MongoDB, we believe in fostering an environment where diverse perspectives can grow and thrive. We are committed to creating a culture of inclusion and a sense of belonging by seeking and valuing employees from different backgrounds. One of our core values as a company is to Embrace the Power of Differences. In the spirit of inclusion, we invite candidates to self-identify as to their gender. The information collected through this voluntary demographic survey is used in aggregate only. Candidate responses to this question will help us to identify areas for improvement in our recruiting processes. If you choose to self-identify, your response will not be used in any hiring or subsequent employment decisions. You are not required to provide this information and you may select "I don't wish to answer". Declining to provide this information will not subject you to adverse treatment or retaliation. All of your personal information, including your gender, should you choose to provide it, will be collected, stored and processed in accordance with MongoDB’s Privacy Notice. Please see our Privacy Noticehere . To all recruitment agencies: MongoDB does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or MongoDB employees. MongoDB is not responsible for any fees related to unsolicited resumes. Please note that we will only communicate with our job applicants by using @mongodb.com and @greenhouse.io domains. We will never contact applicants from any other email address, including @gmail addresses. You may always view the most current and accurate job postings at MongoDB by visiting our website at https://www.mongodb.com/careers . #J-18808-Ljbffr
We are seeking a Senior Engineer to join our Migration Services team, which ownsAtlas Live Migration . This diverse group of engineers is responsible for architecting, deploying and managing fully automated, low-downtime data migration services at cloud scale. Our tooling is built directly into our cutting edge, multi-cloud database service, MongoDB Atlas, and is critical for migrating enterprise workloads into Atlas. As a Senior Engineer on this team, you will design and build new solutions to address our scalability, performance, and usability challenges. This role can be based out of our Dublin office or remotely in Ireland. Responsibilities Work closely with product, design, and engineers across the organization to collectively build features that our customers love Stay up to date on the latest advancements in Cloud computing and software development to bring them into our product Solve difficult technical problems in a distributed environment Own the planning and delivery of major features from ideation through design and implementation Define your top priorities and focuses, then communicate and execute against them Mentor and contribute to the growth of team members Candidate Profile 5+ years of hands-on experience in software engineering, primarily focused on backend systems Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Comfortable working across the stack of a modern web application (e.g. React, TypeScript, Enzyme) Experience with at least one major cloud provider technology (AWS, Azure, GCP) Led the launch of new features and maintained them in production Curious, collaborative, empathetic and intellectually honest Motivated to solve tough problems and continually expand their knowledge Excellent written and verbal communication skills Success Measures In three months, you are developing a deep understanding of MongoDB and our migration tooling. You will have shipped code into production and collaborated with the team to solve tough problems In six months, you are reviewing new feature designs, with an active role in the design and implementation of a major project, while leading development of smaller performance enhancements In twelve months, you are leading the design and development of major new features, and will be mentoring new engineers. You’ll have a strong familiarity with the products the team owns and can work across the codebase About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. #J-18808-Ljbffr
A leading database company is seeking a Senior Software Engineer to join its Education AI Team in Dublin or remotely. You will develop features for an AI Assistant and integrate it across products, requiring proficiency in TypeScript and modern AI practices. With a commitment to innovation and collaboration, you will analyze user behavior and enhance their access to AI tools. This is an exciting opportunity to work with a top engineering team in a pioneering AI environment. #J-18808-Ljbffr
A leading database technology firm is seeking a Senior Software Engineer for its Education AI Team in Dublin. This role involves building features for their AI Assistant and integrating it with their products. Candidates must have at least 5 years of experience and a strong proficiency in TypeScript. The position embraces a hybrid working model, allowing for collaboration in a cutting-edge AI environment, among a team that values curiosity and excellence. #J-18808-Ljbffr
MongoDB is seeking a Senior Software Engineer to join the Education AI Team. Our team works on the cutting edge of modern generative AI technology to understand and empower builders that use AI. Our work is used both internally and externally by thousands of learners and builders. We own and operate the system that powers MongoDB’s AI Assistant, which supports natural language Q&A as well as agentic tasks in MongoDB’s products including Atlas, Compass, technical documentation, and more. We also analyze usage and accuracy across internal and external AI systems to ensure that MongoDB developers have access to correct information wherever they are. This role can be based out of our Dublin office or remotely in Ireland. Has built and shipped a modern agentic application Understands foundational technologies like LLMs and search Is proficient in modern AI engineering practices like context engineering (chain-of-thought, few shot, etc.), evaluation, and retrieval-augmented generation Has a deep understanding of TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has at least 5 years of experience as a software engineer At MongoDB, you will Build new features for the MongoDB Assistant Orchestrate the integration of the MongoDB Assistant into MongoDB’s products Create and maintain robust evaluation suites for key MongoDB topic areas Analyze user behavior and model performance to identify knowledge gaps Have opportunities to speak and write about our work in the AI space Work with some of the best and brightest engineers in the industry who thrive on collaboration, technical excellence and mutual respect Show curiosity, collaborative thinking, and intellectual honesty Are product‑minded and customer‑obsessed Are excited by modern AI and agentic applications Are adaptable and keen to experiment Have excellent written and verbal communication skills About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud‑native platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 4263293336 #J-18808-Ljbffr
A leading data platform provider in Dublin is searching for a Pre-Sales Solution Architect. In this role, you will help design scalable systems, work closely with clients to understand their needs, and collaborate with sales teams to win business. Ideal candidates should have 5-8 years of industry experience, strong communication skills, and expertise in modern programming languages. This position offers a hybrid working environment and the chance to be part of a dynamic team dedicated to customer success. #J-18808-Ljbffr
