Top Tech Jobs & Startup Jobs

Build and maintain cloud-native backend services, data pipelines, and event-driven systems supporting AI usage metering, reporting, billing integrations, and model availability. Design scalable distributed architectures using C# and AWS, operate reliable production services, investigate issues, and improve observability and performance. Collaborate with Product, AI, Business Intelligence, Finance, and Platform Engineering teams while contributing to technical practices, code reviews, and architecture decisions.

Build and operate NetDocuments’ internal AI gateway platform, including model routing, authentication, authorization, cost attribution, budgets, observability, audit logging, and reliability. Own AI use-case intake and provisioning, coordinate Security, Compliance, and Legal reviews, respond to incidents, maintain runbooks, and provide operational, financial, and utilization reporting. The role requires production cloud operations, gateway engineering, backend development, infrastructure as code, containerization, and stakeholder documentation.

Supports daily accounting operations, including general ledger accounting, accounts payable, commissions, reconciliations, journal entries, month-end close, audits, and sales/use tax filings. The role also responds to account inquiries, recommends process improvements, and assists with accounting projects. Candidates need 1–2 years of accounting experience or related education, a bachelor’s degree in accounting, finance, or a related field, and knowledge of accounting principles and financial reporting.

Lead end-to-end product execution for NetDocuments’ next-generation web experience platform for legal professionals. Drive discovery, experimentation, product strategy, measurable outcomes, and reliable releases while collaborating with product, engineering, and design teams. Navigate complex technical dependencies and Microsoft 365 integrations, apply modern product practices, and influence stakeholders across the organization. The role requires strong technical fluency, experience with enterprise content management, and hands-on exposure to LLMs, semantic indexing, RAG, and AI-powered document intelligence.

Designs and implements legal quality assurance evaluations, software tools, and repeatable testing systems for legal AI products. Advises product, engineering, and design teams on legal accuracy; reviews specifications, prompts, taxonomies, and product copy; and improves agentic workflows and system performance. The role combines legal expertise, software development, structured data, data curation, and evaluation of nondeterministic systems to make legal AI more reliable and trustworthy.

Lead the technical direction of a backend engineering team while designing and building scalable, secure, cloud-native distributed systems. Architect event-driven services, data pipelines, search and retrieval capabilities, and AI-powered applications. Improve performance, reliability, observability, and cost efficiency; own initiatives through production operation; collaborate with cross-functional teams; and mentor engineers.

Leads datacenter infrastructure operations and guides the transition to AWS-native cloud application engineering. Oversees physical infrastructure, AWS PaaS services, observability, reliability, incident response, security, compliance, business continuity, and disaster recovery. Manages and develops engineers, establishes cloud capabilities and certification paths, partners with engineering and architecture teams, and supports strategic planning, budgeting, capacity planning, and organizational transformation.

Provides hands-on technical leadership for the Intelligent Document Management System platform. Defines architecture and engineering standards across web, mobile, backend, desktop, Microsoft 365, and AI capabilities. Designs cloud-native applications, microservices, integrations, and enterprise-scale experiences; leads modernization and cross-team initiatives; establishes security, reliability, and performance practices; mentors senior engineers; and drives architectural alignment without formal authority.

Lead architecture and development for scalable document content extraction and transformation systems. Build full-stack, event-driven applications using C#/.NET, AWS, Kafka, OCR technologies, APIs, and AI services. Own initiatives from design through production, improve reliability and performance, implement observability, address technical debt, document architecture, collaborate cross-functionally, and mentor engineers.

Leads product and segment marketing across law firm and corporate legal customer segments. Owns go-to-market strategy, positioning, messaging, market and competitive intelligence, sales enablement, product launches, content, analyst relations, and team development. Partners cross-functionally with product, sales, and marketing teams to create segment-specific strategies and drive measurable growth.