Senior Manager, Software Engineering – AI

🕒 June 12

⛷️ Utah – Remote

⛷️ Utah – Remote

💵 $190k - $215k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

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NetDocuments

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NetDocuments is a leading cloud-based document management platform designed specifically for legal professionals. The platform enhances productivity by providing tools for document organization, collaboration, and automation, while ensuring high levels of security and compliance. With features like AI-driven apps, real-time messaging, and seamless integrations with applications like Microsoft 365 and DocuSign, NetDocuments empowers law firms and corporate legal teams to streamline their operations and effectively manage their documents.

📋 Description

• Shape and execute the long-term engineering strategy for the AI Search platform • Drive 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 roadmap balancing model improvements, indexing infrastructure, and cross-team commitments • Oversee delivery execution across multiple teams and ensure high-quality, on-time releases • Manage and mentor engineers and technical staff • Guide hiring, performance management, and career development • Partner with product and engineering teams on domain-specific search requirements • Serve as the technical point of contact for AI Search capabilities • Present technical strategies, roadmaps, and progress to senior leadership • Drive engagement and communication across distributed teams and business units • Guide teams on embedding models, vector indexing, and semantic retrieval • Champion model lifecycle management, indexing pipeline design, relevance evaluation, and scalable architecture • Ensure solutions meet security, compliance, performance, privacy, and data residency standards • Promote responsible experimentation with emerging AI and retrieval technologies • Foster continuous learning, experimentation, collaboration, quality, innovation, and transparency • Encourage open-source contributions and knowledge sharing

🎯 Requirements

• 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 strategy • Strong experience leading distributed, cloud-based product development (Azure or AWS) • Familiarity with machine learning model deployment and lifecycle management, particularly embedding or NLP models • Experience building or owning data pipelines at scale including indexing, transformation, or ETL workflows • Deep understanding of modern engineering practices including CI/CD, microservices, and scalable architectures • Excellent stakeholder management and executive communication skills, with experience navigating cross-team dependencies • Ability to synthesize complex technical information and present it effectively to leadership and cross-functional audiences • Hands-on experience with semantic search or dense vector retrieval including embedding model selection or hybrid search • Experience with Elasticsearch or OpenSearch • Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications • Background in information retrieval and natural language processing • Experience adapting a shared platform capability across multiple product verticals or customer segments

🏖️ 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

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