The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023, growing to roughly $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use daily. We are the leading developer data platform and the first database provider to IPO in over 20 years. MongoDB is at the forefront of the Generative AI revolution to help build innovative applications using the MongoDB platform. Join our team and be at the forefront of innovation and creativity.
MongoDB seeks an exceptional Staff Product Manager to join our Application Modernization R&D Product organization. Your role will be pivotal in shaping our future and contributing to our growth. We are particularly interested in candidates based in the United States, with a preference for those on the West Coast for our hybrid working model.
Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating costs, and inability to run on the cloud are common issues with these applications. Organizations are engaging in large transformational Application Modernization programs to address these issues. MongoDB is recognized as the developer data platform of choice for transactional and AI-powered systems that provide the best scalability, resiliency, and developer experience in the cloud and on-premises. Organizations continuously migrate workloads from these legacy applications to new platforms, often based on microservices, with MongoDB as the data platform.
Such transformations are expensive, time-intensive, and often risky. Generative AI promises to accelerate these transformations in a way never seen before, particularly in code conversion. Within the Application Modernization R&D team, this strategic role will lead the Gen-AI product capabilities that business analysts, developers, and functional users can use to convert their legacy business logic to the target of their choice as a part of the large-scale code transformation projects. You will develop AI and ML capabilities by working with our largest enterprise customers, our forward-deployed AI field engineers, and our professional services organization.
If hands on solutioning and developing AI-accelerated products on code generation and modernization space is exciting, this is the opportunity for you!

REQUIREMENTS

• 10+ years of Product experience working with enterprise-focused application development technologies and customers
• Excellent written and verbal communication skills with the ability to present to large executive audiences and key enterprise customers globally
• Demonstrated leadership skills to bring together diverse viewpoints and drive a strategic agenda forward; can-do attitude, optimism, humility, creative solutioning, asking complex questions, and willingness to embrace the unknown are all required to succeed
• Expert-level understanding of enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Deep experience developing enterprise applications using relational databases, particularly SQL and stored procedures with Oracle, MS SQL Server, Sybase, and PostgreSQL databases is a major plus
• Experience using and developing with MongoDB and JSON-based Document models is highly desirable
• Deep understanding of Generative AI concepts, tools, and services. A strong interest in how AI-supported toolchains can improve application development, particularly open-source technologies is highly desired
• Strong technical acumen—our Product Managers must be as technical as their engineering counterparts and have in-depth knowledge. They must also be comfortable speaking with authority on any of the technical aspects of the topics in their portfolio, such as Jira, Aha, AWS, GCP, AZURE, LLMs, Agentic Frameworks, and Prompt Engineering
  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

• Be the Senior Staff PM responsible for leading the vision, roadmap, and requirements for code conversion feature sets within MongoDB’s Application Modernization products such as Relational Migrator
• Drive strategic narratives and operational and tactical recommendations with customers and industry thought leaders on Application Modernization in collaboration with MongoDB’s Modernization Factory
• Regularly evangelize our products and recommendations on application modernization at industry conferences, trade shows, and with key partners and accounts
• Drive collaboration across Engineering, Customer Support, Marketing, Sales, Professional Services, Sales and the Executive Leadership Team
• Maintain an accurate and up-to-date roadmap across your ownership areas
• Deeply understand all aspects of MongoDB - to ensure a business outcome aligned with our broader product, customer, and company priorities
• Deeply understand the evolving landscape of Gen-AI powered code generations and serve as an industry liaison to share best practices and learnings between the leading AI players and MongoDB
• Define application modernization go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with sales leadership at regional and global levels
• Drive decision-making around prioritization, solutions, functionality, and pricing