Note: The job is a remote job and is open to candidates in USA. NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. They are seeking an Engineering Manager to lead the AI Assistant engineering team, focusing on developing intelligent AI capabilities while ensuring a strong security posture and deep integration with existing systems. This role involves leading a team of engineers, driving delivery and execution, collaborating cross-functionally, and providing technical leadership.
Responsibilities
- Lead and develop a high performing team
- 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
- 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
- Coordinate across multiple engineering teams contributing to a shared product vision
- Communicate priorities, risks, and progress clearly to technical and nontechnical stakeholders
- Build the partnerships that drive alignment and execution across the organization
- 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
- 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
Skills
- 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
- 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
Benefits
- 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
Company Overview
Company H1B Sponsorship