Senior Engineering Manager, Code Generation

About the Application Modernization Platform (AMP) Team

The AMP team is addressing a critical industry challenge: using Generative AI to convert rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A key difficulty is ensuring the business logic equivalence of new applications, guaranteeing smooth and efficient operation with new MongoDB data ecosystems in a reliable and scalable manner. The CodeGen team develops essential tools to achieve this mission.

About the Role

We are seeking an experienced Senior Lead Software Engineer with a strong background in database ecosystems, reshaping complex large-scale services, and team leadership. You will lead a talented team in building a complex product suite utilizing GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role is based on the West Coast of North America and offers a hybrid working model.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant.
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs.
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset.
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence.
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary.

The Ideal Candidate Will Have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results.
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling.
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc.) and at least one document database (e.g., MongoDB).
• Experience using GenAI in building complex large-scale systems, and understanding its best applications, is a plus.
• Curiosity, a positive attitude, and a drive to continue learning.
• Excellent verbal and written communication skills.
• Excellent time and project management skills, including the ability to make realistic assessments of project cost and complexity.

Success Measures

Within the first three months:

• Fully ramped up on our architecture, business domain, and team processes.
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap.
• Begin mentoring team members and building strong collaborative relationships with your product counterparts.

Within six months:

• Successfully led the team to deliver a major feature or product release.
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams.
• Established a clear rhythm of execution and a high-performing culture within your team.

Within 12 months:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB.
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business.
• Played a crucial role in recruiting, hiring, and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and 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 over 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 personal growth and business impact, 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 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: 1273362479

Canada Salary Range: $191,000 - $265,000 CAD

Benefits (Canada): Compensation at the time of offer is unique to each candidate and based on factors such as skill set, experience, qualifications, and work location. 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.