Manager, Software Engineering

NetDocuments

. Lead a team responsible for building and delivering shared AI capabilities across the NetDocuments legal document management platform.

Posted 11/7/2026full-timeRemote • Utah • United StatesMid-LevelSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams to deliver AI-powered solutions, with a strong focus on cloud-native architectures, AI evaluation methodologies, and stakeholder communication. Proven ability to balance technical execution with operational excellence and compliance in regulated environments.

Highest-signal resume keywords

AI-Powered Solutions DevelopmentC#/.NET Backend DevelopmentCloud Platforms (AWS/Azure)Team Leadership and DevelopmentAI Evaluation Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringLarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)Microservices ArchitectureDistributed SystemsCI/CD PracticesContainerizationDocument AI CapabilitiesModel Customization Techniques

Soft Skills

Communication SkillsCollaboration SkillsStakeholder ManagementInfluencing SkillsTeam Building

Tools & Technologies

AWSAzureContainerization ToolsObservability ToolsAI-Assisted Development Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceAdvanced Degree in Computer Science

Industry Keywords

Legal TechnologyDocument ManagementEnterprise SaaSRegulated IndustriesAI Model Providers

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsMicroservices.NET

About the role

Key responsibilities & impact

Lead a team responsible for building and delivering shared AI capabilities across the NetDocuments legal document management platform.
Drive planning and execution of engineering initiatives to ensure predictable delivery of high-quality AI capabilities.
Partner with Product and Architecture to translate customer needs and emerging AI technologies into scalable, secure solutions.
Balance feature development with system reliability, performance, cost efficiency, and operational excellence.
Identify technical risks, dependencies, and tradeoffs and communicate recommendations to leadership and stakeholders.
Guide architectural decisions, technical direction, and implementation strategies for AI-powered solutions.
Evaluate AI model selection and tradeoffs involving response quality, latency, scalability, and cost.
Guide prompt engineering and retrieval-augmented generation (RAG) approaches.
Establish AI evaluation, testing, monitoring, and regression-testing practices.
Ensure AI capabilities meet enterprise standards for security, privacy, compliance, and reliability.
Leverage C#/.NET, microservices, containerization, and AWS or Azure knowledge to evaluate designs and remove blockers.
Lead, coach, and develop software engineers; support performance, career growth, and technical development.
Drive hiring and talent development efforts and encourage modern engineering practices and AI-assisted development tools.
Partner with Product, Design, Architecture, and AI engineering teams to align priorities and platform capabilities.
Communicate engineering progress, technical decisions, risks, and tradeoffs to stakeholders and senior leadership.
Translate complex technical concepts into clear business outcomes and recommendations.

Requirements

What you’ll need

6+ years of professional software engineering experience, including 2+ years managing engineering teams.
Experience delivering production-grade AI or LLM-powered features within an enterprise SaaS environment.
Strong understanding of large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), context limitations, latency, cost considerations, and common failure modes.
Familiarity with AI evaluation methodologies, retrieval systems, and approaches for measuring model accuracy, reliability, and performance.
Understanding of AI agent architectures, tool-calling patterns, and emerging integration standards such as Model Context Protocol (MCP).
Strong technical foundation in modern software engineering, including distributed systems, microservices, and cloud-native architectures.
Experience with cloud platforms such as AWS or Azure and modern engineering practices including CI/CD, containerization, and observability.
Working knowledge of C#/.NET or similar backend development technologies, with the ability to evaluate technical designs and guide engineering decisions.
Demonstrated ability to lead engineering teams, manage competing priorities, and deliver complex technical initiatives.
Strong communication, collaboration, and stakeholder management skills, with the ability to influence technical and business decisions.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience developing AI-powered solutions within legal technology, document management, or other regulated industries.
Experience building and scaling document AI capabilities, including intelligent document processing and retrieval systems.
Experience evaluating and managing AI model providers, including performance, cost optimization, and vendor selection.
Familiarity with model customization techniques such as fine-tuning and the ability to evaluate their business and technical value.
Experience leading teams responsible for shared AI services or platform capabilities used across multiple products.
Proven success building high-performing engineering teams that consistently deliver impactful software.
Advanced degree in Computer Science, Engineering, or a related field.

Benefits

Comp & perks

90% healthcare premiums company covered
HSA company contribution
401(k) 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
Connection, access, and mentorship from exceptional leaders
Growing company with opportunities for advancement
Authenticity and accountability from leadership