> Markdown version of [/jobs/ext/4638554-manager-software-engineering](https://www.wearedevelopers.com/jobs/ext/4638554-manager-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering - **Company:** NetDocuments Software, Inc. - **Location:** Lehi, UT, United States - **Experience:** Experienced - **Salary:** $170,000 - $190,000 - **Contract:** Permanent contract - **Skills:** AI Evaluation, .NET Framework, Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, C Sharp (Programming Language), Law Practice Management Software, Cloud Engineering, Software Quality, Continuous Integration, DevOps, Document Management Systems, Distributed Systems, Regression Testing, Software Engineering, Large Language Models, Prompt Engineering, Model Validation, Reliability of Systems, Generative AI, Backend, Containerization, AI Platforms, Information Technology, Machine Learning Operations, Model Context Protocol, Intelligent Document Processing, Microservices - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=314b7f9694c495ba ## About the Role * 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. ## Description NetDocuments is seeking an Engineering Manager to lead a team responsible for building and delivering shared AI capabilities across our platform. In this role, you will drive engineering execution, guide technical direction, and lead the development of scalable, secure, and reliable AI-powered solutions that enhance how legal professionals work. You will partner closely with Product, Architecture, and senior engineering leaders to translate emerging AI technologies into meaningful product capabilities. This is a technical leadership role focused on driving delivery, developing engineering talent, and ensuring our AI solutions meet the highest standards of quality, performance, and enterprise readiness. You will: Drive Engineering Delivery & Execution * Lead the planning and execution of engineering initiatives, ensuring 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. * Proactively identify technical risks, dependencies, and tradeoffs, communicating recommendations to leadership and cross-functional stakeholders. * Establish clear priorities, accountability, and engineering practices that support consistent delivery. Guide AI Technical Strategy & Architecture * Partner with Principal and Staff Engineers to guide architectural decisions, technical direction, and implementation strategies for AI-powered solutions. * Evaluate AI model selection and technical tradeoffs, including response quality, latency, scalability, and cost. * Guide the development of prompt engineering and retrieval-augmented generation (RAG) approaches to deliver accurate, contextually relevant AI experiences. * Establish expectations for AI evaluation, testing, and monitoring, including regression testing for model and prompt changes. * Ensure AI capabilities meet enterprise standards for security, privacy, compliance, and reliability. * Leverage technical knowledge of C#/.NET, microservices, containerization, and AWS or Azure to evaluate designs, remove blockers, and support engineering decisions. Lead, Mentor & Develop Engineering Talent * Lead, coach, and develop a team of software engineers, supporting performance, career growth, and technical development. * Foster a culture of ownership, accountability, experimentation, and continuous improvement. * Drive hiring and talent development efforts to build a high-performing engineering team. * Encourage the adoption of modern engineering practices and AI-assisted development tools to improve productivity and software quality. * Create an environment where engineers collaborate effectively, challenge assumptions, and continuously improve technical solutions. Drive Cross-Functional Collaboration & Alignment * Partner with Product, Design, Architecture, and other AI engineering teams to align technical priorities and shared platform capabilities. * Communicate engineering progress, technical decisions, risks, and tradeoffs clearly to stakeholders and senior leadership. * Build strong cross-functional relationships that support efficient decision-making and successful product delivery. * Translate complex technical concepts into clear business outcomes and recommendations.