Senior Forward Deployed Ai Engineer

Summary

Join MongoDB's newly created Field Engineering team as a Senior Application Modernization Engineer and play a key role in our extended R&D organization, bridging application modernization efforts with our Product and Engineering teams. This role, based in Berlin or remotely in Germany, focuses on leveraging Generative AI to accelerate application modernization projects. You will work alongside project teams, evaluating, building, and applying tools; facilitating tool usage across teams; identifying tooling deployment opportunities; selecting third-party tools; contributing to tooling prototypes; and shaping the product roadmap. The ideal candidate possesses extensive experience in field engineering, professional services, or full-stack development, along with expertise in enterprise-scale software architectures and database technologies. Success hinges on becoming a MongoDB expert, developing modernization engagement playbooks, effectively communicating technical proposals, providing insightful customer feedback, and building trusted advisor relationships.

Requirements

• 5+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients
• Proficiency in Javascript AND Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
• Expert level knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Deep experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
• Great communication skills (both spoken and written), within the team and in customer meetings

Responsibilities

• Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis; planning and design; data modeling; application code conversion, development, test and build; integration and release configuration, production operations, application optimisation, and best practices adoption
• Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product. Deliver concise feedback to the rest of the development organisation
• Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
• Personally execute well-defined, outcome-focused projects, POC, MVP and everything in between. POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products. These are often on premises at client locations
• Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
• Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
• Assist sales teams in evaluating opportunities with prospects and customers
• Willingness to work on site with customers for 7 days per month and to travel to Australia two weeks per year to collaborate with the Product development team

Preferred Qualifications

• Experience of using and developing with MongoDB and JSON based Document models is highly desirable
• Good understanding of Generative AI concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus
• And finally, a strong interest in how AI supported toolchains can improve application development

Benefits

From employee affinity groups, to fertility assistance and a generous parental leave policy