Senior Manager, Software Engineering

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

Our Platform persistence group provides a federated query engine as a service for higher layer applications to access data from external data sources. This shared service encapsulates the complexity of each external datasource while providing a simple, powerful, scalable, semantic context layer for customers and developers to build applications and for AI agents to integrate seamlessly. Depending on the nature of the data, the external datasource systems include relational databases, datalakes or even webservices. Our largest customers are always pushing the limits of data volume and scale of concurrent transactions. Performance, reliability and scalability is always at the core of our work. Platform persistence has always been in the center of most impactful projects for the business, such as farm wide primary database migration from MariaDB to ServiceNow PostgreSQL based homegrown database, RaptorDB, with near zero downtime, query access layer for ServiceNow Knowledge Graph and ServiceNow Workflow Data Fabric, Document Object Model for CSM Front Office. As a Senior Manager in platform persistence, you will be working with various business stakeholders and engineering leaders to drive strategic roadmaps. You will be working with other platform teams, application engineering teams, cloud services teams and support teams to deliver product end-to-end. Most importantly, you will be building and expanding a strong team to support business demands.

• Manage product development activities and oversee end-to-end engineering deliverables.
• Manage team of engineers, providing technical guidance, feedback, and career development.
• Work with product management, design, support, quality, and other dev teams to create high-quality solutions.
• Manage daily activities of the end-to-end development team, ensuring engineering excellence, code quality, and delivery velocity.
• Drive continuous improvement and innovation initiatives including designing testing strategies, driving test automation to enhance reliability, performance, and scalability of products and services.
• Solve difficult and sometimes ambiguous problems by fostering collaboration and applying structured decision-making.
• Manage departmental resources, staffing, mentoring, enhancing and maintaining a best-of-class engineering and quality team.
• Partner with cross-functional teams and stakeholders to align on priorities, communicate issues, and utilize best practices.

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This includes using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s impact on engineering practices.
• Typically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
• 5+ years of experience as a technical lead for technical teams
• Strong background in modern software engineering practices and technologies relevant to the role.