[All remote jobs](https://jobicy.com/jobs.md)Open role[![NetDocuments logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/d08d5ca3-221.png)](https://jobicy.com/company/netdocuments.md)Remote opportunity at[NetDocuments](https://jobicy.com/company/netdocuments.md) # Manager, Software Engineering – AI Assistant Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/netdocuments.md)Share16 Aug 2026Published35Listing views1Application actions15 Sep 2026Apply before Opportunity details ## About this role. AI SummaryNetDocuments is hiring an Engineering Manager to lead a team of approximately five to six software and test engineers building its AI Assistant for legal professionals. The role combines people management, roadmap execution, cross-functional coordination, and technical leadership for secure, enterprise-scale agentic AI capabilities. The manager will guide delivery of LLM-based features, secure tool integrations, AWS cloud-native services, CI/CD, observability, automated testing, and scalable architecture. Candidates need 7+ years of software engineering experience, 2+ years of engineering leadership, production familiarity with LLMs and agentic systems, and strong stakeholder-management skills. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a high-complexity engineering management role because it combines people leadership, cross-functional execution, enterprise SaaS architecture, and production-grade LLM/agentic AI delivery. The manager must make sound security, quality, cost, latency, and rollout decisions in a rapidly evolving product area. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$190,000US market range$180k–$240k0$264k AI insightThe posting explicitly states a compensation range of $180,000 to $200,000 and identifies it as posted cash compensation including on-target earnings. The stated midpoint is $190,000. No payment cadence is explicitly provided, so job_period is left blank. For comparison, the estimated US market range for an engineering manager leading enterprise AI/LLM product development is approximately $180,000 to $240,000 in cash compensation, varying by location, company stage, scope, and equity or incentive structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Engineering Management](https://jobicy.com/jobs?search_keywords=Engineering%20Management.md)[Software Engineering](https://jobicy.com/jobs?search_keywords=Software%20Engineering.md)[LLM Applications](https://jobicy.com/jobs?search_keywords=LLM%20Applications.md)[Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic%20AI.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Enterprise SaaS](https://jobicy.com/jobs?search_keywords=Enterprise%20SaaS.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Security and Observability](https://jobicy.com/jobs?search_keywords=Security%20and%20Observability.md) Cover letter sampleDear Hiring Team, I am excited to apply for the Manager, Software Engineering - AI Assistant role at NetDocuments. My experience leading engineering teams and delivering secure, customer-facing SaaS products aligns well with your mission to build trusted, agentic AI for legal professionals. I would bring a practical approach to shipping, learning, and scaling, combining strong people leadership with technical judgment across LLM applications, cloud-native systems, CI/CD, observability, and secure integrations. I am particularly motivated by the opportunity to help a growing team deliver reliable AI capabilities while protecting sensitive customer data and respecting permissions. I would welcome the opportunity to help shape the AI Assistant roadmap, develop engineers, and build durable product capabilities with NetDocuments. Copy Sample interview questionsHow would you safely launch a new agentic AI capability for legal customers?I would begin by defining the customer problem, the permitted actions, and measurable success and safety criteria. I would use a staged rollout with offline evaluation, limited customer pilots, telemetry, human-review or confirmation points where appropriate, and clear rollback mechanisms before broad release. How do you manage delivery when several teams must contribute to one customer-facing product outcome? I would establish a shared roadmap with explicit ownership, dependencies, decision dates, and risk reviews across Product, Design, platform teams, and the Assistant team. I would communicate capacity and tradeoffs early, use regular execution checkpoints, and escalate unresolved cross-team blockers with clear options and impact. What metrics would you use to evaluate an LLM-powered legal assistant in production? I would use a balanced scorecard that includes customer task success, groundedness and quality evaluations, adoption, latency, cost per successful task, reliability, and security findings. Metrics should be segmented by use case and customer context so the team can identify where quality or cost needs targeted improvement. How do you provide technical leadership while preserving engineer ownership? I would set clear outcomes and technical guardrails, then delegate implementation decisions to the engineers closest to the work. Through design reviews, one-on-ones, incident learning, and feedback on decision quality, I would support growth without becoming the bottleneck for every technical choice. How would you resolve a disagreement between Product and Engineering about shipping speed versus technical quality? I would first clarify the customer impact, risk, and evidence behind each position, then frame the decision around agreed product principles such as security, customer value, and long-term maintainability. If tradeoffs remain, I would document options, make or facilitate a timely decision at the appropriate level, and ensure teams understand the rationale and follow-up measures. 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](mailto:hrgroup@netdocuments.co) 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 The NetDocuments AI Assistant, part of ndMAX, is our flagship legal AI product: secure, DMS native AI that keeps a firm’s documents inside NetDocuments while helping legal professionals analyze documents, draft and refine content, and take action through natural language, embedded where they already work, in Word, Outlook, and search. A strong security posture and deep integration with the system of record are central to how the product earns trust with legal customers. We are building the next generation of the Assistant’s capabilities: intelligent, agentic AI that can take actions on a user’s behalf, specialized agents for common legal tasks, and secure integrations, including support for the Model Context Protocol, that let the Assistant work across the tools legal professionals rely on. We are seeking an Engineering Manager to lead the AI Assistant engineering team through this next chapter. The work is live. We are shipping to real customers and growing the team, and you will join at a formative moment for the product, when leadership decisions, technical bets, and team building habits compound for years. This is one of the most strategically important investments NetDocuments is making, and the category is moving fast. The Engineering Manager who leads this team will help shape what the AI Assistant becomes, and grow the leadership skills and experience that pave the way for future opportunities. A few principles shape this work and the candidates we’re looking for in this role: * Validate, then scale. We ship to customers early, learn fast, and harden as features prove their value. * AI forward. We design around what modern models and agents make possible. * Customer feedback drives the roadmap. What we build next is shaped by what customers tell us matters most. * Security and trust first. We build AI that respects each firm’s permissions and keeps sensitive content protected on the system of record. In this role, you will: Lead and develop a high performing team * Lead, coach, and develop a team of approximately 5 to 6 software engineers and software test engineers. * Foster a culture of trust, collaboration, accountability, and continuous improvement. * Partner with recruiting to attract and hire exceptional engineering talent, including engineers with applied AI and machine learning experience. * Support career growth through mentorship, feedback, and performance development. * Create the conditions for engineers to do their best work, and be the escalation path for blockers the team cannot resolve on its own. Drive delivery and execution * Partner closely with Product, Design, and platform engineering teams to turn customer needs into scalable software solutions. * Help build and execute a roadmap that balances customer facing impact, technical excellence, and long term platform durability. * Guide your team through planning, execution, and delivery of the Assistant’s agentic AI capabilities while holding a high bar for quality. * Lead through ambiguity, sequencing the work, derisking it, and adjusting as we learn from real users and as the AI landscape evolves. * Communicate capacity, priorities, and delivery risks proactively as a core member of the engineering, product, and design triad. Collaborate cross functionally * Coordinate across multiple engineering teams contributing to a shared product vision. A meaningful portion of this role is unlocking work that crosses team boundaries, including bringing the Assistant to customers across NetDocuments products and surfaces. * Communicate priorities, risks, and progress clearly to technical and nontechnical stakeholders. * Build the partnerships that drive alignment and execution across the organization. Provide technical leadership * Provide technical guidance and architectural input while empowering engineers to own implementation details. * Champion modern engineering practices, including CI/CD, cloud native architectures on AWS, observability, automated testing, and scalable system design. * Advocate for highly reliable, maintainable, and secure software, with strong observability and a proactive approach to security. * Bring sound judgment to building on large language models and agentic systems, including evaluation, prompt and context design, tool integration, cost and latency management, and safe rollout. Shape culture and innovation * Foster a growth mindset and a culture of continuous learning. * Encourage experimentation, thoughtful problem solving, and learning from incidents. * Cultivate transparency, ownership, and customer impact across the team. * Support knowledge sharing and technical excellence across teams. What You’ll Need to Be Successful * Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. * 7+ years of software engineering experience. * 2+ years leading engineering teams, including both software engineers and software test engineers. * Working familiarity with modern AI, including large language models and agentic systems, and sound judgment about applying them in production software. This is table stakes for the role. * Experience building and delivering enterprise scale, customer facing software products. * Strong understanding of modern software development practices, including cloud platforms, CI/CD, distributed systems, and scalable architectures. * Proven ability to lead teams through ambiguity while balancing execution and technical quality. * Excellent communication and stakeholder management skills. * Demonstrated success building high performing teams and delivering impactful software. What Will Make You Stand Out * A track record of shipping AI native or agentic product surfaces at scale, features built around what large language models and agents make possible, not bolted onto an existing product. * Depth in the applied AI stack: LLM application development, retrieval augmented generation, evaluation and observability for AI systems, and managing model cost, latency, and quality tradeoffs. * Experience leading teams that build platform scale SaaS products, extensibility platforms, or developer and authoring tooling. * Experience in legal technology, professional services SaaS, or other regulated enterprise software where data sensitivity and auditability matter. * A track record of mentoring engineers and developing future technical leaders. 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: $180,000 – $200,000 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. 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