Senior Manager, Software Engineering - Document Automation

NetDocuments•Lehi, UT

3h•Hybrid

About The Position

We’re seeking a Senior Manager, Engineering to lead and scale our PatternBuilder product focused engineering 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 integrate cutting-edge automation and AI into the NetDocuments platform. In this strategic leadership role, you’ll drive the vision and execution of our Document Automation 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 - AI and will partner closely with peers across Product, Architecture, and Data Science to ensure cohesive delivery of enterprise-grade AI-powered capabilities.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).
7+ years of software engineering experience, including 3+ years in engineering management roles.
Demonstrated success managing multiple teams or a group of 7+ engineers and leaders.
Proven ability to define and execute a technical vision in alignment with business strategy.
Strong experience leading distributed, cloud-based product development (Azure or AWS).
Deep understanding of modern engineering practices—CI/CD, microservices, and scalable architectures.
Excellent stakeholder management and executive communication skills.
Ability to synthesize complex technical information and present it effectively to leadership and cross-functional audiences.

Nice To Haves

Background in Operating Systems or Compilers.
Strong technical foundation in software engineering with the ability to mentor across technical domains.
A history of building high-performing, engaged teams that deliver impactful software.

Responsibilities

Drive Strategy & Execution
Shape and execute the long-term engineering strategy for PatternBuilder Document Automation 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 PatternBuilder engineering organization, balancing innovation with operational excellence.
Oversee delivery execution across multiple teams to ensure high-quality, on-time releases.
Lead & Develop High-Performing Teams
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.
Cross-Functional Collaboration & Stakeholder Management
Partner with Product Management and Design to define priorities and ensure strategic alignment across departments.
Present technical strategies, roadmaps, and progress to senior leadership in clear, business-focused terms.
Serve as a bridge between technical and non-technical stakeholders—translating complex technical concepts into actionable business insights.
Drive engagement and communication across distributed teams and business units.
Technical Leadership & Oversight
Maintain strong working knowledge of technologies such as Ruby on Rails, C#, React, microservices, Azure, 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.
Culture & Innovation
Foster a growth mindset, continuous learning, and experimentation within the engineering organization.
Cultivate a collaborative engineering culture that values quality, innovation, and transparency.
Encourage contributions to open-source and knowledge sharing across the company.