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Senior Staff, Forward Deployed AI Engineer

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

MongoDB is looking for an outstanding person to join our newly created Field Engineering team and take on a key role in our extended R&D organization. Field Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. 

Such transformations are very time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Field Engineering is responsible for exploring the possibilities of Generative AI  technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.

Application Modernization Field Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization  projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.

This role can be based remotely in the Europe Region.

Our ideal candidate will have

  • 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
  • Experience of using and developing with MongoDB and JSON based Document models is highly desirable
  • 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
  • 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

Position Expectations

  • 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

Success Measures

The Senior Forward Deployed AI Engineer will be successful in this role when they can execute the following strategic tasks/responsibilities:

  • Become an expert level user of MongoDB, and our tools current migration products
  • Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
  • Communicate complex technical proposals simply and convincingly to a wide range of audiences
  • Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
  • Gain the reputation as a trusted advisor with our field teams and customers
  • Contribute to the success of customer application migration initiatives that they support

Life at 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.

Average salary estimate

$140000 / YEARLY (est.)
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$120000K
$160000K

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What You Should Know About Senior Staff, Forward Deployed AI Engineer, MongoDB

Are you ready to take the lead as a Senior Staff, Forward Deployed AI Engineer at MongoDB? We’re on an amazing journey to help organizations worldwide modernize their applications and leverage the power of AI. In this newly created role within our Field Engineering team, you’ll be at the forefront of transformative technology, working closely with both customers and our dedicated R&D teams. Imagine the thrill of diving into the challenges that come with legacy applications and delivering innovative solutions that not only improve scalability but also enhance resilience and reduce development time. You’ll collaborate on application modernization projects that frequently utilize MongoDB's powerful tools, evaluating and building the necessary resources to navigate these transformations effectively. With your extensive experience of over 5 years, you will utilize your expertise in languages like JavaScript, Java, or C#, along with your profound understanding of enterprise software architectures and databases. Your communication skills will be crucial in advocating for client needs and providing insights to shape our product roadmap. You’ll also have the exciting opportunity to explore Generative AI technologies, enhancing our offerings and supporting your peers in overcoming complex technical challenges. Whether you’re working from home in EMEA or visiting our offices, you’ll find a culture that values collaboration, creativity, and personal growth. So, are you ready to join a company committed to empowering developers to create, transform, and disrupt industries? Your journey starts at MongoDB!

Frequently Asked Questions (FAQs) for Senior Staff, Forward Deployed AI Engineer Role at MongoDB
What are the responsibilities of a Senior Staff, Forward Deployed AI Engineer at MongoDB?

As a Senior Staff, Forward Deployed AI Engineer at MongoDB, your responsibilities will include contributing to customer application modernization initiatives, testing MongoDB migration products, and working closely with product and engineering teams to influence our product roadmap. You’ll also develop tooling prototypes and maintain a broad understanding of our product line to assist sales teams and deliver concise feedback for customer success.

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What qualifications are needed for the Senior Staff, Forward Deployed AI Engineer position at MongoDB?

To qualify for the Senior Staff, Forward Deployed AI Engineer position at MongoDB, candidates should have at least 5 years of experience in the field, proficiency in programming languages like JavaScript, Java, or C#, and a strong understanding of enterprise software architectures. Familiarity with MongoDB, relational databases, and experience with Generative AI tools are also essential to thrive in this role.

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How does MongoDB support employee growth for the Senior Staff, Forward Deployed AI Engineer?

MongoDB is dedicated to fostering an enriching culture that promotes personal growth and professional development for our employees. The company offers various resources like employee affinity groups, professional training, and generous parental leave policies to support our team members throughout their career journey.

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What technical skills are needed for a Senior Staff, Forward Deployed AI Engineer at MongoDB?

A successful Senior Staff, Forward Deployed AI Engineer at MongoDB should possess expert-level knowledge of enterprise software architectures, application development methodologies, and tools related to application modernization. Proficiency in JavaScript, Java, or C#, along with experience using MongoDB and relational databases, is crucial for effective problem-solving and delivering innovative solutions.

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What impact does the Senior Staff, Forward Deployed AI Engineer have on customer projects at MongoDB?

The Senior Staff, Forward Deployed AI Engineer plays a vital role in the success of customer application modernization initiatives by providing unique insights, evaluating tools for deployment, and actively communicating customer needs to our product teams. Their expertise and collaboration can significantly enhance project outcomes and customer satisfaction.

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Common Interview Questions for Senior Staff, Forward Deployed AI Engineer
Can you describe a project where you successfully led application modernization?

When answering this question, highlight your leadership role, the challenges faced, and the technologies used to modernize the application. Emphasize your approach to collaboration with various teams, the tools employed, and the overall impact on client operations.

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How do you approach problem-solving in complex technical scenarios?

Discuss your systematic approach to problem-solving, emphasizing collaboration with cross-functional teams. Provide examples of your analytical skills, creativity in finding solutions, and the importance of adapting to new technologies or tools.

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What experience do you have with Generative AI in application development?

Share any experience you have with utilizing Generative AI technologies in past projects, including how you implemented them, the outcomes, and your understanding of their benefits in application development.

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How do you maintain updated knowledge of emerging technologies relevant to your role?

Explain your strategies for keeping up with industry trends, such as attending conferences, participating in online classes, and following relevant publications or communities. Highlight how this knowledge has informed your work in the past.

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Describe your experience with MongoDB and its application in enterprise environments.

Provide specific instances where you've used MongoDB in enterprise settings, including challenges and successes in implementation. Explain the benefits you’ve seen in scalability and resilience and how you optimize its use.

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What are some key considerations when migrating legacy applications to modern platforms?

Discuss the importance of assessing current architecture, understanding dependencies, and planning for scalability. Share specific strategies you've employed to minimize risks and ensure a smooth transition during migrations.

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How do you prioritize and manage multiple customer projects simultaneously?

Discuss your organizational and time management strategies, including tools you use to track progress. Explain how you maintain communication with project stakeholders to ensure alignment and address any issues promptly.

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Can you give an example of a time you had to communicate complex technical information to non-technical audiences?

Share a specific scenario where you tailored your communication style to suit a non-technical audience. Explain the techniques you employed to make technical concepts accessible and engaging.

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What methodologies do you follow in application development and deployment?

Include your favored development methodologies like Agile or DevOps, specifying how they help streamline processes in application development. Highlight your ability to adapt to different methodologies based on project needs.

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What strategies do you use to ensure customer satisfaction during project implementations?

Discuss proactive communication, gathering feedback, and adjusting strategies based on customer needs. Provide examples of how you've successfully ensured client satisfaction in past engagements.

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MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.

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Full-time, remote
DATE POSTED
April 9, 2025

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