The MongoDB Documentation team is a group of writers and engineers who develop and maintain the documentation for the MongoDB product family. Our goal is to help our readers, both humans and AI, successfully use MongoDB products by providing outstanding documentation. The MongoDB Documentation team is a part of the MongoDB Core Product organization and is tightly integrated with the engineering teams responsible for each product. 

The Docs team is responsible for documenting all aspects of the MongoDB data platform including the database, query language, Atlas, Vector Search, VoyageAI models, Full-Text Search, Stream Processing, client libraries, administrative tools, connectors, and more.

Your AI-forward mindset coupled with strong writing and technical skills will create clear reference docs and tutorials on high-complexity features. Your work, along with the other two MongoDB Docs teams, support AI agents, answer engines, and a large global community of new and experienced MongoDB users.

We are looking to speak to candidates who are based in Gurgaon for our hybrid working model.

Candidate Profile:

Candidates must have experience in a technical writing, technical communications, developer relations, or similar role in the software industry. Beyond industry experience, we are looking for someone who:

• Has experience writing technical documentation from scratch in English
• Possesses strong critical reading and writing skills
• Has hands-on experience using AI tools to accelerate documentation work
• Leverages sound editorial judgment to evaluate AI-generated content against source material for technical accuracy
• Has experience with cloud and database technologies
• Is able to read code for technical examples in at least one programming language (e.g., C++, C#, Java, Python, JavaScript)
• Has experience testing and validating documentable features and concepts

Position Expectations:

• Advocate for users in everything you write
• Work with technical and non-technical teams to meet the documentation needs of our users
• Research complex product features and validate with diligent testing
• Produce technically accurate and well-written documentation
• Contribute feedback to the team through copy review and planning discussions

Success Measures:

In 3 months:

• You'll be comfortable with our toolchain, AI tooling, and writing workflow
• You can implement small to medium complexity documentation requests
• You're getting to know our server engineers and are getting comfortable with participating in intra and inter team discussions
• You've completed the required technical training and courses required for MongoDB Engineering

In 6 months:

• You are getting comfortable doing deep dives into database architecture and technology as part of feature documentation
• You've got a working knowledge of the MongoDB data platform and know who to follow up with when you need to learn more
• You've adapted to our style of writing and your work demonstrates technical writing best practices
• You begin reviewing the work of your peers and learning from it
• You and your manager have discussed your career trajectory and growth opportunities
• You've helped the team improve and establish effective, well-vetted AI-assisted workflows for drafting and review

In 12 months:

• You're creating consistently high quality documentation for entire feature sets, complex tutorials, and high level concepts
• You know how much work you can manage and are contributing at a healthy pace
• You provide quality copy and technical reviews for your team members
• You provide best practices and coaching on AI-assisted workflows for your team members

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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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 - 3273561980