We're hiring a Lead Full Stack Engineer to work with the Recast application engineering team for our marketing mix modeling platform. What you might do in your first 6 months: - Build, test, troubleshoot, and integrate front-end elements into our application using Ruby on Rails, modern javascript frameworks and vanilla js, and styling with CSS and frameworks like Tailwind - Help us develop new features and functionality to allow our customers to better serve the information they need when they need it. - Add self-serve reporting and data visualization features so that our clients can dig in and build their own reports - Lots of interacting with your colleagues to overcome challenging and new problems to solve. We work very collaboratively and need colleagues who aren’t afraid to jump in and help in whatever way they can! Things you have experience in: - Full-Stack web-development experience with Ruby on Rails or other similar web frameworks (Django / Flask / MVC) - Front-End experience with JS frameworks and libraries such as React, Vue, Svelte, etc. - Styling for the web using either plain CSS or libraries like SASS, LESS, Tailwind, etc. - You have decent design-sense and can take an app from idea to MVP quickly and independently - Working with javascript plotting libraries like D3, cube.js, or plotly - Experience working with other engineers on your team to teach them using different techniques - pairing, mobbing, reviews, etc. - Working directly with a product team to ensure that the vision and the technical execution needs match up. - Estimating both how difficult technical projects will be, and also how long they may take given different inputs. - Working at a fast-paced SaaS startup Things that should excite you that might scare off other folks: - Working directly with data scientists to productionize their code - Taking ideas that might start out vague to some, and helping to turn them into concrete implementations collaboratively with colleagues both inside and outside Engineering - Working with lots of complex data structures and pushing-the-limits visualizations - Teaching others on your team and learning just as much from them - we are all student-teachers - Building tools that interface with JAX & other ML-like libraries *Please note salary ranges are estimated for US-based employees. Candidates from other geographies may have the salary range adjusted based on their local markets.

• Build and ship customer-facing product experiences. • Deliver polished features across both frontend and backend. • Ensure changes are reliable, accessible, and performant. • Own work end-to-end. • Take ownership from discovery and technical design through implementation, testing, release, and iteration. • Leverage AI. • Stay current with AI-enabled coding approaches. • Creatively apply AI to all aspects of your work. • Raise engineering quality. • Improve patterns, reduce tech debt, strengthen testing, and contribute to a healthy codebase through reviews and thoughtful refactoring. • Collaborate and communicate in a remote team. • Support the team through mentoring and feedback.

• Build and ship customer-facing product experiences. • Deliver polished features across both frontend and backend. • Ensure changes are reliable, accessible, and performant. • Own work end-to-end. • Take ownership from discovery and technical design through implementation, testing, release, and iteration. • Leverage AI. • Raise engineering quality. • Collaborate and communicate in a remote team. • Support the team through mentoring and feedback.

Join the MongoDB Networking & Observability team and help build the core of a distributed database ! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features. Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently we’ve worked on POCs and performance tests for new architectural directions in our networking stack, and are integrating OpenTelemetry to accelerate investigation of issues and integrate with a wider ecosystem of observability tooling. Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together. Note: This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile - 3+ years of experience building distributed systems - Passionate about delivering and deploying a product with cross-team stakeholders - Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture - Hands-on experience with building production-level code. Experience in C++ is required - Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability - Solid verbal and written communication skills and highly motivated to collaborate with colleagues Position Expectations - Understand and improve the current functionality of the MongoDB networking and observability codebase - Lead medium sized projects related to our networking code or observability frameworks from technical design to delivery - Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery) - Own our leadership principles, and exemplify them in your work - Continue to learn and be curious in growing your career Success Measures - In one month, you'll have fixed a few bugs in a minor version of our latest release series - In three months you’ll have contributed to the development of a project slated for the next major version - In six months, you’ll have taken on primary code review responsibilities and are involved in reviewing the design for new features - In twelve months, you’re making significant contributions to the development of a new major features 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: 1273376223 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD