Senior Engineering Manager, Code Generation

MongoDB MongoDB · Enterprise · Palo Alto, CA · PTO App Modernization ENG

Senior Engineering Manager for a Code Generation team at MongoDB, focused on using GenAI to transform legacy applications into modern architectures. The role involves technical leadership, architectural decision-making, team mentorship, and collaboration with product management to deliver enterprise-grade AI-powered products.

What you'd actually do

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

Skills

Required

  • software development and operations experience
  • building platforms and distributable software infrastructure
  • leading, coaching, and mentoring a team of software engineers
  • building enterprise-grade analytics systems for data streaming or data tooling
  • relational and document data modeling
  • SQL database experience
  • document database experience
  • technical leadership
  • architectural decision-making
  • collaboration with product management

Nice to have

  • Using GenAI in building complex large-scale systems
  • knowing what GenAI is best suited to do

What the JD emphasized

  • 10+ years of software development and operations experience
  • 2+ years of experience leading, coaching, and mentoring a team of software engineers
  • 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)

Other signals

  • Leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.
  • building a complex product suite using GenAI capabilities.
  • 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.