Jobs at NetDocuments

Lead and scale the Transformers engineering team to deliver document transformation, OCR, and text extraction capabilities. Define technical vision and roadmap, oversee multi-team delivery, mentor engineering leaders, collaborate with Product, Architecture, and Data Science, promote best practices for CI/CD, microservices, cloud, and containerized deployments, ensure security and compliance, and foster a culture of innovation and high performance.

Design, build, and maintain production-grade full-stack applications using React, Node.js, and TypeScript. Develop scalable backend services, REST/GraphQL APIs, and cloud-native solutions on AWS. Contribute to system architecture, observability, and event-driven designs, own features through deployment, and collaborate with Product and Design to deliver secure, high-quality software.

Lead a 5-6 person engineering team building the NetDocuments AI Assistant. Drive delivery of agentic LLM features, ensure secure cloud-native architecture on AWS, partner with Product and Design, mentor engineers, and champion CI/CD, observability, automated testing, and secure integrations.

Support senior consultants delivering client adoption programs, training, and change management for NetDocuments and AI features. Create training content, monitor adoption metrics, respond to client enablement inquiries, build client relationships, contribute to team playbooks, and develop deep platform and AI knowledge. Travel up to 10%.

Lead and scale an AI Search engineering team building embedding models, vector indexing, and indexing pipelines for semantic search. Define strategy and roadmap, oversee cross-team delivery, mentor engineering leaders, ensure model lifecycle and indexing reliability, and align technical vision with product and data science to deliver secure, production-grade semantic search capabilities.

Own and define NetDocuments' multi-year data architecture and lead AWS re-architecture of large-scale data platforms. Design and optimize NoSQL systems (Couchbase, DynamoDB), event-driven pipelines (Kafka, SQS, SNS), and Snowflake analytics. Drive data governance, security, AI-readiness, prototypes, build-vs-buy evaluations, and cross-functional alignment to deliver scalable, cost-effective data platforms.

Build and maintain an authoritative, real-time record of product usage: define instrumentation requirements, validate and model event data, integrate usage with CRM/financial systems, create customer-facing usage views, and partner with product leadership and engineering to extend usage data for new features.

Manage and optimize AWS infrastructure for availability, security, and performance. Build and maintain IaC and CI/CD, implement DR and resiliency automation across AZs, monitor and troubleshoot with CloudWatch/DataDog, participate in incident response, and collaborate on documentation and cross-functional initiatives.

Generate qualified sales opportunities for North America by prospecting greenfield territory, executing account-based outbound outreach, qualifying leads, setting demos, and maintaining Salesforce data while aligning closely with sales counterparts.

Lead end-to-end planning and execution of EMEA and APAC events (industry, customer, partner, bespoke), coordinate logistics and on-site delivery, align branding and sales enablement, manage partner co-hosted programs and lead-sharing, own budgets and vendor contracts, measure event ROI, and travel internationally (~30-40%).

Lead and scale a Legal Innovation Partner team focused on AI adoption and retention at strategic law firm and legal department clients. Own renewal and expansion outcomes, drive executive-level engagement, define AI transformation playbooks, collaborate across Product, Engineering, Sales, and Customer Success, and represent NetDocuments as a thought leader.

Manage and grow a large book of existing SaaS customer accounts by driving expansion revenue. Self-source pipeline through outbound outreach, run discovery to identify upsell/cross-sell opportunities, own the full sales cycle, and maintain activity and pipeline in Salesforce.

Lead product execution for an AI Growth team, owning AI monetization, usage-based billing, adoption, ROI storytelling, and admin-facing visibility. Conduct discovery and rapid experiments, mentor PMs, navigate metering/billing technical dependencies, and drive outcome-focused metrics to scale AI features platform-wide.

Lead and build a legal engineering discipline inside R&D: define structured legal knowledge and taxonomies, author and validate agent skills, design evaluation harnesses and benchmarks, ship legal intelligence into production, and hire/lead a small hands-on team while partnering across Product, Engineering, and Design.

Serve as a senior strategic advisor embedded with law firm and legal department clients to drive AI adoption and transformation. Own renewal and expansion of a portfolio, develop tailored AI adoption roadmaps, lead executive reviews, identify upsell opportunities, escalate and remediate at-risk accounts, and channel client feedback into product roadmaps. Represent NetDocuments at industry events and contribute best practices to the Legal Innovation Partner playbook.

Lead NetDocuments' global public relations strategy across US, EMEA, and APAC. Manage agency partners and internal PR resources, build analyst relations, amplify executive thought leadership, and drive customer storytelling. Collaborate with Marketing, Product, Partnerships, and executives to create integrated campaigns, regional PR plans, and partner co-PR with firms like Microsoft and AWS. This is a hands-on, working manager role with significant cross-functional coordination.

Lead and coach a Corporate sales team of six AEs to drive predictable revenue across 6–12 month enterprise deals. Recruit and scale AE teams, establish enterprise governance and sales playbooks (MEDDICC/BANT), shape go-to-market strategy, and partner with Product, Marketing, and Customer Success to align messaging and cross-sell/renewal motions.

Sell NetDocuments' cloud content management solution to small-market prospects by conducting virtual demos, qualifying leads, negotiating and closing contracts, meeting sales targets, managing pipeline in Salesforce, and collaborating with BDRs to nurture opportunities.

Lead and develop a 5-6 person engineering team building a next-generation web application and design system. Drive roadmap, execution, architecture, and cross-functional collaboration while championing cloud-native practices, CI/CD, observability, automated testing, and AI-native product features.

Execute and improve manual and automated tests for UI, API, and end-to-end workflows. Develop and maintain automation, identify and troubleshoot defects, and collaborate with engineers and product teams to ensure quality prior to release.