People-and-strategy role leading NetDocuments' AI Search engineering team, which builds the embedding models and indexing pipelines powering semantic search across its legal document management platform. Focus is on roadmaps, mentoring managers, and stakeholder alignment rather than day-to-day coding, with cloud work on Azure/AWS, vector search, and RAG-adjacent technologies.
Compensation
$190K–$215K / yr
Location
Lehi, Utah, United States; Remote - US
Work setup
Remote
Seniority
Senior
Employment
Not specified
Experience
3+ years
Category
Software engineering
Posted
Skills
ai
aws
azure
candidate-experience
ci-cd
cloud
data-pipelines
data-science
elasticsearch
etl
llm
machine-learning
microservices
model-deployment
nlp
opensearch
performance-management
rag
semantic-search
stakeholder-management
Must have
Bachelor's degree in Computer Science, Engineering, or related field
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
Ability to synthesize complex technical information and present it effectively to leadership and cross-functional audiences
Nice to have
Advanced degree
Hands-on experience with semantic search or dense vector retrieval, including embedding model selection or hybrid search
Experience with Elasticsearch or OpenSearch
Familiarity with RAG pipelines and how search quality feeds downstream LLM applications
Background in information retrieval or natural language processing
Experience adapting a shared platform capability across multiple product verticals or customer segments
A history of building high-performing, engaged teams that deliver impactful software
Full description
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
Senior Manager, Software Engineering - AI at NetDocuments (Remote) — aijobsearch
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
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 present it effectively to leadership
and cross functional audience
What Will Make You Stand Out
Hands on experience with semantic search or dense vector retrieval including embedding
model selection, or hybrid search
Experience with Elasticsearch or OpenSearch
Familiarity with retrieval augmented generation (RAG) pipelines and how search quality
feeds downstream LLM applications.
Background in information retrieval, natural language processing
Experience adapting a shared platform capability across multiple product verticals or
customer segments.
A history of building high performing, engaged teams that deliver impactful software.
What You’ll Love About NetDocuments
The People!
90% healthcare premiums company covered
HSA company contribution
401K match at 4% with immediate vesting
Flexible PTO (typically 3 to 4 weeks a year)
10 paid holidays
Monthly contributions for life activities & wellness
Access to LinkedIn learning with monthly dedicated time to explore
Compensation Transparency
The compensation range for this position is: $190,000 - $215,000
The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations.
Equal Opportunity
NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.