We’re seeking a Manager, Engineering to lead and scale our Transformers team as we build next-generation, intelligent products that transform how our clients work. You’ll guide teams responsible for developing and delivering scalable, secure, and innovative cloud-based systems that are the heart of NetDocuments’ Document transformation, OCR, and text extraction capabilities
In this strategic leadership role, you’ll drive the vision and execution of our Transformers initiatives, ensuring alignment across product, engineering, and business goals. You’ll play a key part in defining our technical roadmap, mentoring engineering leaders, and fostering an environment of innovation, collaboration, and accountability
This position reports to the Director of Engineering - Platform and will partner closely with peers across Product, Architecture, and Data Science to ensure cohesive delivery of enterprise-grade capabilities
Shape and execute the long-term engineering strategy for Transformers initiatives, aligning technology direction with business priorities
Collaborate with Product and Architecture leaders to translate customer needs and emerging technologies into scalable solutions
Build and maintain a robust roadmap for the Transformers engineering organization, balancing innovation with operational excellence
Oversee delivery execution across multiple teams to ensure high-quality, on-time releases
Manage and mentor Engineers and Technical staff, fostering a culture of trust, collaboration, and continuous improvement
Guide hiring, performance management, and career development to build diverse, high-impact teams
Create an environment that attracts top engineering talent and empowers them to deliver their best work
Maintain strong working knowledge of technologies such as C#, React, microservices, AWS, and containerized deployments—but focus on guiding teams rather than day-to-day coding
Champion best practices for architecture, reliability, and scalability across engineering and platform systems
Ensure Automation solutions are designed securely and meet compliance, performance, and privacy standards
Promote experimentation and responsible adoption of emerging AI technologies