NetDocuments

Product Manager

• Collaborate with leadership to define and drive the roadmap for AI-powered solutions, assessing new product ideas and enhancements.
• Own and manage the product backlog, ensuring it reflects the priorities of the business and the needs of the customer.
• Create detailed and actionable product specifications, with precise and comprehensive acceptance criteria.
• Collaborate closely with engineering and design to ensure the successful and timely delivery of product features, from sprint planning to release management.
• Drive alignment on priorities across cross-functional teams, including product, engineering, design, and QA, to ensure smooth execution of product delivery.
• Conduct regular backlog grooming sessions to refine, prioritize, and scope upcoming work, keeping a focus on customer impact and technical feasibility.
• Monitor the delivery pipeline to proactively identify blockers, risks, or dependencies, and facilitate solutions to keep projects on track.
• Partner with stakeholders across the organization and among our customer base to collect feedback, validate ideas, and set priorities.
• Analyze customer feedback, usage metrics, and other data to inform iterative improvements to the product.
• Document and communicate product capabilities and timelines with internal stakeholders like product marketing and sales enablement to ensure alignment and go-to-market success.
• Stay engaged with evolving AI technologies and trends within the legal industry.

Senior Product Manager – AI

Support Engineer

• Become technically proficient in the NetDocuments suite of products
• Answer incoming phone calls and own incoming Support Cases through our Support Portal
• Troubleshoot technical problems and resolve issues for customers using the NetDocuments platform
• Manage and respond to your backlog of Support Cases in a timely fashion
• Own your Support Cases from creation through resolution
• Participate in the Software Development lifecycle through diagnosis and reporting of new and known issues
• Participate in KCS by creating and editing Knowledge Base articles
• Quickly ramp up on new releases, enhancements, and product functionality to ensure successful support for customers
• Assist in after hours on-call Support rotation (optional and paid)
• Other duties as assigned

Senior Technical Support Engineer

• Become highly proficient in the NetDocuments platform, architecture, and integrations, including migration tools such as ndImport, ndToolkit, etc.
• Own and manage partner-submitted Support Cases from creation through resolution
• Troubleshoot complex technical issues reported by partners, going beyond standard documentation to identify root causes
• Reproduce issues in controlled environments and document clear, detailed replication steps
• Analyze system behavior using logs, diagnostic tools, and network traces. Identify patterns by parsing and interpreting application or server logs.
• Collaborate directly with partners to understand implementation challenges and guide them toward effective resolutions and best practices
• Build strong working relationships with partners to facilitate efficient issue resolution
• Communicate clearly and effectively through written case updates and live collaboration sessions when needed
• Escalate issues appropriately while maintaining ownership and accountability for case progress
• Stay current on NetDocuments releases, enhancements, and platform capabilities
• Contribute to documentation and knowledge sharing to improve team collaboration and enable partners to self-serve solutions
• Participate in an on-call rotation to support critical partner needs during go-live events (rare but important)

Implementation Support Engineer

Full-stack Engineer

• Design and Develop Scalable Systems
• Contribute to the design and architecture of a large-scale system centered around search capabilities
• Build and maintain applications and services using technologies like React, C#, microservices, AWS, Azure and others as appropriate
• Implement scalable and secure cloud-native solutions aligned with performance and reliability best practices
• Extend and optimize existing applications with minimal supervision
• Translate functional requirements into robust technical solutions
• Develop scalable, highly available microservices in a distributed cloud environment
• Contribute to event-driven architecture patterns across system components
• Integrate security best practices into development workflows
• Implement monitoring and observability solutions to ensure system health and performance
• Conduct unit and integration testing across different environments
• Monitor performance, troubleshoot issues, and optimize system behavior
• Participate in the creation and refinement of system specifications, standards, and guidelines
• Collaborate with product managers, designers, and other engineers to plan and deliver features
• Contribute to a strong team culture through code reviews, design sessions, and shared learning
• Provide informal mentoring to junior developers and share best practices
• Stay current with modern engineering tools, practices, and frameworks
• Evaluate and recommend process or tooling improvements to increase development efficiency
• Contribute to maintaining a secure, performant, and maintainable codebase

Senior Software Engineer – AI

• Drive the architecture, design, and delivery of the systems that underpin authentication, authorization, access control, and directory services for our global customer base.
• Spend the majority of your time writing production-grade code while also shaping technical direction, mentoring engineers, and collaborating across teams to solve complex, high-stakes problems in the identity and access management space.
• Set technical direction for the Accounts team, establishing patterns for secure, scalable, and observable systems running on AWS.
• Lead architectural decisions across authentication and authorization domains.
• Guide and influence cross-team initiatives from concept to completion, leading design and code reviews, and championing security and operational robustness.
• Drive initiatives that improve reliability, performance, and scalability while actively managing cloud costs and operational efficiency.
• Make sound architectural decisions by clearly articulating trade-offs and reasoning that holds up over time.
• Build and maintain production-grade services using C#/.NET and microservices architecture on AWS.
• Design and implement event-driven systems using Kafka and distributed streaming patterns.
• Architect cloud-native solutions on AWS that balance reliability, maintainability, performance, and cost.
• Design and build secure, scalable integrations across internal and external systems.
• Translate complex functional and non-functional requirements into secure, reliable software solutions.
• Take full ownership of initiatives from concept through production and ongoing operation.
• Frame and clarify ambiguous problems, driving them forward with minimal guidance.
• Proactively identify and address technical debt before it impacts the team or customers.
• Resolve complex technical challenges across distributed, high-availability systems with sound judgment and clear reasoning.

Staff Software Engineer, Accounts

Artificial Intelligence

• Identify & Prioritize AI Opportunities
• Conduct hypothesis-driven analysis of workflows across the organization to identify high-ROI AI use cases.
• Develop and maintain a prioritized roadmap aligned to company growth objectives and measurable business outcomes.
• Partner with functional leaders to evaluate opportunities while driving standardization and simplification of processes.
• Pilot, Build & Scale AI Solutions
• Design and execute rapid pilots (2–4 weeks) with clear success criteria, KPIs, and evaluation frameworks.
• Apply a test-and-learn approach to quickly iterate, discontinue low-value efforts, and scale successful solutions.
• Drive implementation of AI solutions into production with clear execution plans and accountability.
• Evaluate and recommend tools, vendors, and technologies, including consolidation opportunities.
• Drive Adoption & Organizational Impact
• Establish adoption strategies including training programs, rollout plans, and clear usage targets.
• Partner with leaders across the organization to ensure accountability for adoption and outcomes.
• Build KPI frameworks to track value realization and ensure sustained impact across teams.
• Governance, Risk & Operating Model
• Partner with Legal, Security, and Compliance to define governance frameworks around data privacy, security, and vendor risk.
• Balance speed and innovation with responsible AI practices and enterprise risk management.
• Help define and evolve the operating model that enables people, processes, and AI systems to work effectively together.

Internal AI Strategy Director

Engineering Manager

• Lead M365 Integrations engineering teams in transforming legal professionals' workflow in Microsoft environment.
• Drive vision and execution of integrations strategy for migrating enterprise customers.
• Define technical roadmap and mentor engineering leaders.
• Collaborate with Engineering, Product, Design, and Customer Success for cohesive delivery.
• Shape long-term strategy, collaborate on customer needs into solutions, and ensure high-quality execution.

Senior Manager, Software Engineering – Integrations

• Shape and execute the long-term engineering strategy for PatternBuilder Document Automation initiatives, aligning technology direction with business priorities
• Collaborate with Product and Architecture leaders to translate customer needs and emerging technologies into scalable solutions
• Build and maintain a robust roadmap for the PatternBuilder engineering organization, balancing innovation with operational excellence
• 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 Product Management and Design to define priorities and ensure strategic alignment across departments
• Present technical strategies, roadmaps, and progress to senior leadership in clear, business-focused terms
• Serve as a bridge between technical and non-technical stakeholders—translating complex technical concepts into actionable business insights
• Ensure Automation solutions are designed securely and meet compliance, performance, and privacy standards
• Foster a growth mindset, continuous learning, and experimentation within the engineering organization

Senior Manager, Software Engineering – Document Automation

Account Manager

• Drive programmatic pipeline growth and establish loyalty with channel partners
• Provide accurate forecasting and identify and track relevant metrics of success
• Recruit new legal focused partnerships
• Heavy focus on the enablement of new and existing partners with AI and Document Management System
• Manage and develop a cross-functional team of partner marketing and account managers
• Sustain and encourage internal stakeholder alignment with sales and marketing leads and their teams
• Manage the communication of products, features, and marketing campaigns
• Resolve partner-customer conflicts and build mindshare within NetDocuments and support teams
• Design go-to-market business plans, and understand partner sales processes to capitalize on opportunities for NetDocuments
• Achieve quarterly revenue target and partner contribution to Corporate and Strategic legal sector business
• May perform other job duties as needed