Senior Manager, Software Engineering - AI

What You’ll Do

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 critical content. Your team owns the embedding models and

indexing pipelines that power semantic search, and partners closely with product and vertical

teams across NetDocuments to evolve those capabilities for different use cases and industries.

This is a broad AI search mandate. Your team will not work on a single product in isolation but

will serve as the core platform layer enabling semantic experiences across the NetDocuments

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 closely with peers across

Product, Architecture, and Data Science to ensure cohesive delivery of enterprise grade AI

powered search capabilities.

Drive Strategy & Execution

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.

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 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.

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.

What You’ll Need to Be Successful

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

What Will Make You Stand Out

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.

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:  $190,000 - $215,000

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