Senior Manager, Software Engineering

Overview

Net Documents is a hybrid, remote-friendly workplace that provides an inclusive environment. We empower employees to contribute ideas and collaborate with supportive peers and leadership to achieve goals as a unified team.

Net Documents is a cloud-based content management and productivity platform used by legal professionals. We are committed to a great candidate experience and will communicate using channels with  email addresses. If you have questions about communications, please contact

We are seeking a Senior Manager, Engineering to lead and scale our AI Search engineering team as we build next generation intelligent search capabilities that transform how legal professionals find and surface content. Your team owns embedding models and indexing pipelines powering semantic search, and partners with product and vertical teams to evolve capabilities for different use cases and industries.

This is a broad AI search mandate. Your team will serve as the core platform layer enabling semantic experiences across the Net Documents ecosystem. You will drive the engineering vision, mentor engineering leaders, and create an environment where innovation and operational rigor go hand in hand.

This position reports to the Director of Engineering, AI and will partner with Product, Architecture, and Data Science to ensure cohesive delivery of enterprise-grade AI-powered search capabilities.

• 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 relevance across 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 across multiple teams to ensure high quality, on-time releases and 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 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.

• 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…