Senior Manager, Software Engineering - AI

NetDocuments; United States; Remote; USD 190,000 - 215,000; Full time

Benefits offered by this job

Healthcare premiums covered

HSA contribution

401K match 4%

Flexible PTO

10 paid holidays

Wellness contributions

LinkedIn Learning access

Job summary

NetDocuments is seeking a Senior Manager, Engineering to lead our AI Search engineering team as we build next-generation semantic search capabilities for legal content. You will own embedding models, indexing pipelines, and collaborate with product and vertical teams to tailor capabilities across use cases.

You will mentor engineers, drive a cohesive technical vision, and create environments where innovation, reliability, and security enable scalable, enterprise-grade outcomes.

Qualifications

• Bachelor's degree in CS or related field required.

Responsibilities

• Lead AI Search platform strategy and engineering execution across multiple teams.
• Mentor engineers and technical staff to foster high-performing teams.
• Collaborate with Product, Architecture, and Data Science to deliver enterprise-grade AI-powered search capabilities.
• Ensure secure, compliant, and scalable architectures with CI/CD and microservices.

Skills

Leadership

Cloud-based dev

CI/CD

Stakeholder mgmt

Executive communication

Distributed teams

Education

Bachelor's degree in CS or related field

Advanced degree preferred

Tools

Azure

AWS

OpenSearch/Elasticsearch

Data pipelines

Job description

the company 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 @the company.com domain. If you have any concerns or questions about communications you have received, please send them [e-mail] our team members can review.

About the company

At the company, 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. the company 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 engineeringteam as we build next generation intelligent search capabilities that transform how legalprofessionals find and surface critical content. Your team owns the embedding models andindexing pipelines that power semantic search, and partners closely with product and verticalteams across the company 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 butwill serve as the core platform layer enabling semantic experiences across the the companyecosystem. You will drive the engineering vision, mentor engineering leaders, and create anenvironment where innovation and operational rigor go hand in hand.

This position reports to the Director of Engineering, AI and will partner closely with peers acrossProduct, Architecture, and Data Science to ensure cohesive delivery of enterprise grade AIpowered 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 relevanceacross 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 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 the company

• 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

the company 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. the company 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.