Senior Manager, Software Engineering

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NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters.

NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team.

At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, 2024 list of Inc. Magazine’s 5000 Fastest-Growing Private Companies in America.

Other recent awards include:

Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune

Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine

Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being

Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility

Three-time winner (2024, 2023, 2022) Top Workplace Compensation Benefits

Two-time winner (2024, 2023) National Top Workplaces

Two-time winner (2024, 2023) Top Workplace Innovation

2025 Remote Work

2024 Technology Industry

NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day!

What You’ll Do

We are seeking a Senior Manager, Engineering to lead and scale our AI Search engineering

team as we build next generation intelligent search capabilities that transform how legal

professionals find and surface critical content. Your team owns the embedding models and

indexing pipelines that power semantic search, and partners closely with product and vertical

teams across NetDocuments to evolve those capabilities for different use cases and industries.

This is a broad AI search mandate. Your team will not work on a single product in isolation but

will serve as the core platform layer enabling semantic experiences across the NetDocuments

ecosystem. You will drive the engineering vision, mentor engineering leaders, and create an

environment where innovation and operational rigor go hand in hand.

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 search capabilities.

Drive Strategy Execution

Shape and execute the long term engineering strategy for the AI Search platform, with a

focus on embedding model quality, indexing pipeline reliability, and semantic relevance

across verticals.

Collaborate with Product, Architecture, and vertical engineering teams to translate

customer needs into scalable, production ready search capabilities.

Build and maintain a robust roadmap that balances platform investments in model

improvements and indexing infrastructure with cross team partnership commitments.

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 vertical product and engineering teams to understand domain specific search

requirements and adapt semantic capabilities accordingly.

Serve as the technical point of contact for AI Search capabilities, helping stakeholders

understand tradeoffs in relevance, latency, and model selection.

Present technical strategies, roadmaps, and progress to senior leadership in clear,

business focused terms.

Drive engagement and communication across distributed teams and business units.

Technical Leadership Oversight

Maintain strong working knowledge of embedding models, vector indexing, and semantic

retrieval while focusing on guiding teams rather than day to day coding.

Champion best practices for model lifecycle management, indexing pipeline design,

relevance evaluation, and scalable architecture.

Ensure AI Search solutions are designed securely and meet …