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NetDocuments

Senior Manager, Software Engineering - AI

Lehi, Utah, United States; Remote - US; Remote - USRemote · United States
Manager · Engineering
POSTED 12 JUNVERIFIED 1D AGO
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Role
149 days opentrue age
Posted 12 Jun
Pay
$78k–$148kno pay posted
Market p25–p75
$78k–$148k
Salt Lake City · n=21 · 365d to 4 Nov
CompanyNetDocuments →
18open roles
Opened · 30d
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Closed · 30d
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1,857open · Manager Software engineering
Opened · 7d
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All software engineering
75,075open
All tracked boards · live 9 Nov · n=1,857
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Checked 9 Nov

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.

About NetDocuments

At NetDocuments, we're shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That's why we're building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge.

Our team is redefining what's possible for legal technology. NetDocuments is the trusted intelligent document management platform for legal professionals and the company behind the industry's first and only legal context graph—a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls.

Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you're building products, serving customers, or supporting the business, your work helps shape the future of one of the world's most trusted legal technology platforms.

That commitment to our employees and customers has earned us recognition as one of the nation's top workplaces, including:

  • Four consecutive appearances on the Inc. 5000 list of America's Fastest-Growing Private Companies
  • Five-time Top Workplace USA winner
  • Five-time Salt Lake Tribune Top Workplace
  • Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits

If you're excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we'd love to meet you.

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.
Source · NetDocumentsFirst seen 7 NovOriginal ↗