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. We are seeking a Senior Manager, Engineering to lead and scale our AI Search engineering team, driving the engineering vision and mentoring engineering leaders while ensuring the delivery of enterprise-grade AI-powered search capabilities.
Responsibilities
- 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 execution across multiple teams to ensure high quality, on time releases
- 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
- 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
- Maintain strong working 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
- 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
Skills
- 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 audience
- 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, natural language processing
- Experience adapting a shared platform capability across multiple product verticals or customer segments
- A history of building high performing, engaged teams that deliver impactful software
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
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