Senior Manager, Software Engineering - AI
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Senior Manager, Software Engineering - AI at Netdocuments. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
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.
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 compliance, performance,
privacy, and data residency standards. - Promote responsible experimentation with emerging AI and retrieval technologies,
balancing innovation with production stability.
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 projects and knowledge sharing across the
company.
What You’ll Need to Be Successful
- 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).
- Familiarity with machine learning model deployment and lifecycle management,
particularly embedding or NLP models. - Experience building or owning data pipelines at scale including indexing, transformation,
or ETL workflows. - Deep understanding of modern engineering practices including CI/CD, microservices, and
scalable architectures. - Excellent stakeholder management and executive communication skills, with experience
navigating cross team dependencies. - Ability to synthesize complex technical information and
Ready to apply?
This job is active. Apply now to get in early.