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.

The ideal candidate for this role should have

• 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
• Foster 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 the users in the Python community, formulate the vision and the 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, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

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. 

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.

Req ID: 4263289662

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.

This role can be based out of our Dublin office or remotely in Ireland.

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.

The ideal candidate for this role should have

• 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
• Foster 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 the users in the Python community, formulate the vision and the 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, you will have onboarded on the current MongoDB technologies & tools, and built an application with Python and MongoDB, putting it in public on Github; successfully triaged new issues with the engineering team, taken ownership of the existing roadmap and the product backlog; got to know the team (this team is globally distributed) and started building relationships inside the company
• In six months, you will have reviewed / refined existing user stories and JIRA issues, prioritized and started executing on them with your  engineering team; you will have also researched new and existing markets, identified some new trends and started their exploration in a methodical way
• In nine months, you have produced at least two GA releases of tier 1 drivers or integrations, several service releases, delighted users with new/improved experiences (you’ll need to define your metrics to measure customer success with your deliverables as well), identified new opportunities & refined your roadmap, contributed to other projects, presented to customers, user groups, and conferences, and gained strong support of your team and other stakeholders

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. 

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.

Req ID: 4263289662

What's the opportunity? 

As a Senior Finance Data Scientist, Existing Business, you will be the architect of the systems that predict Intercom’s revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals.

You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team.

The Impact You Will Have

• Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts.
• Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger.
• Architect Finance Data: Design and maintain curated datasets that serve as the single source of truth.
• Model Customer Value: Define and iterate on our LTV frameworks, providing a clear linkage between product engagement and long-term financial outcomes.

Drive Scalability: Build automated, code-based forecasting workflows that increase the speed, reliability, and granularity of our financial planning.

What will I be doing? 

Predictive Modeling and Forecasting Systems

• Build and own probabilistic and time-series models that project ARR performance across renewals and usage-based motions.
• Incorporate behavioral signals, such as product adoption, seat utilization, and feature engagement, into expansion propensity and LTV frameworks.
• Design models that account for cohort dynamics, seasonality, and product-led growth (PLG) signals.
• Evaluate model performance through backtesting and iteration, ensuring our "financial weather forecast" is constantly improving.

Data and Analytical Infrastructure

• Own the end-to-end data pipeline for finance, transforming raw product usage and billing data into curated, model-ready datasets in our data warehouse.
• Write and optimize production-quality SQL and Python to work with large-scale datasets and automate complex FP&A workflows.
• Ensure data integrity and consistency across all predictive systems and executive dashboards.
• Contribute to the long-term data strategy for how Intercom tracks and predicts Existing Business health.

Analytical Problem Solving

• Translate ambiguous business questions (e.g., "Which usage signals best predict a 2x expansion?") into structured data science projects.
• Connect ARR outcomes to underlying drivers like product adoption, customer health scores, and GTM activity.
• Perform scenario modeling and sensitivity analysis to help the business understand the range of possible outcomes for NRR.

Business Partnership & Communication

• Partner with Sales, Product, and Data Engineering to align our financial models with actual customer behavior and product roadmaps.
• Translate complex statistical outputs into clear, decision-oriented narratives for the CFO and executive leadership.
• Build executive-ready materials, including predictive dashboards and strategic presentations.

What skills do I need? 

• • 3+ years in Data Science, Strategic Finance, or Revenue Analytics, with a deep focus on SaaS or usage-based business models.
  • Advanced Technical Skills: High proficiency in Python (pandas, scikit-learn) and Expert-level SQL. Experience with forecasting libraries (e.g., Prophet, Nixtla) is a major plus.
  • System Design Mindset: Experience building scalable data pipelines and production-grade analytical tools, not just one-off spreadsheets.
  • SaaS Mastery: Strong understanding of NRR, LTV, Churn, and the relationship between product usage and revenue.
  • Communication: Ability to translate technical work into business insight and influence stakeholders through data-driven storytelling.
  • Business Judgment: A focus on accuracy and a "Product Sense" that allows you to see the human behavior behind the data points.
  • AI-Augmented Productivity: Proficiency in leveraging AI-native development tools (e.g. Cursor, Claude Code) to accelerate the development of data pipelines, model prototyping, and code documentation.

What Success Looks Like

• Automated forecasting models that are more accurate, granular, and less manual than previous iterations.
• A clear Propensity Score integrated into our planning that successfully predicts customer expansion and contraction.
• Scalable, code-based workflows that reduce the time-to-insight for the Existing Business team.

High confidence from leadership in our ability to predict the financial impact of changing customer usage patterns.

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid