Principal Software Engineering Manager

Guides collaboration with stakeholders to confirm user requirements and leverages feedback channels for design improvements. Guides teams in creating test strategies, incorporating security testing, and leveraging AI tools for test automation. Guides development process, ensuring extensible, maintainable, and secure code using best practices. Guides experimentation, deployment, live site maintenance, and incident response, ensuring safe and efficient operations. Guides development tool selection and continuous integration in production. Ensures compliance with security and regulatory standards, mentors on learning and development, and advocates for best practices and security-informed engineering. Lead and develop the team. Coach engineers, support career growth, provide actionable feedback, and manage performance with clear expectations. Set technical direction. Own architecture discussions and guide design decisions for email semantic indexing, including content processing, embedding generation, index updates, and integration with retrieval systems. Evaluate technologies and make thoughtful tradeoffs across quality, freshness, scalability, resiliency, and cost. Deliver customer and business outcomes. Partner with product management and engineering stakeholders to clarify requirements, define success measures, and translate priorities into an executable roadmap. Lead planning, resource allocation, and dependency management, resolving cross-team issues to deliver end-to-end results. Drive engineering excellence. Guide the team in building extensible, maintainable, secure, and high-performance software. Establish rigorous design and code reviews, comprehensive test strategies, security testing, and automation across development and CI/CD pipelines. Own service health and operational readiness. Lead safe deployments, flighting, monitoring, incident response, and production debugging. Ensure clear live-site ownership, escalation paths, disaster recovery, and rollback plans. Use incident retrospectives to address root causes and prevent recurrence. Improve quality through experimentation. Establish telemetry and evaluation practices to understand indexing behavior and downstream retrieval impact. Use feature flags, controlled experiments, and production signals to validate changes and guide investment. Build security, privacy, and responsible AI into the platform. Apply least-access principles and ensure email content and derived indexes respect access controls and applicable data-handling requirements. Embed security monitoring, response readiness, AI safety, and compliance with privacy, accessibility, and regulatory requirements. Advance AI-assisted engineering. Lead disciplined adoption of AI tools for development, testing, debugging, and operational workflows. Measure their effectiveness, maintain human accountability for quality, and help the team continuously improve its engineering practices. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's degree AND 8+ years technical engineering experience OR Bachelor's degree AND 12+ years experience. 4+ years of people management experience.