Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Leads client relationships and serves as a trusted advisor on AI and data analytics solutions. Evaluates use cases, workflows, capabilities, limitations, and implementation strategies; coordinates internal teams, manages complex projects and escalations, mentors consultants, and identifies service improvements. Applies business and commercial judgment while communicating technical concepts to varied audiences and tracking client and project metrics.

Manages multiple concurrent eDiscovery matters from initiation through delivery, serving as the primary client contact. Responsibilities include overseeing data collection, processing, review workflows, analytics, production, schedules, budgets, reporting, quality standards, and cross-functional resources. The role also provides consultative client support, mentors project team members, contributes to business development activities, and manages expectations across legal, IT, and client stakeholders.

Leads client-facing implementation, onboarding, workflow optimization, adoption, training, and post-implementation success for eDiscovery Managed Services clients. Builds stakeholder relationships, drives self-sufficiency and value realization, maintains documentation, provides strategic guidance, and partners with project, delivery, sales, and account teams to support retention and growth.

Manages multiple eDiscovery projects from data receipt through production, coordinating internal teams, clients, vendors, and workflows. Serves as the primary client contact, provides consulting on data processing and review technologies, resolves requests, tracks deadlines, manages dependencies, and supports online review and production activities. Builds long-term client relationships, identifies additional service opportunities, and ensures consistently high-quality client service.

Manage multiple concurrent eDiscovery projects from data collection through production, coordinating attorneys, clients, IT teams, and project staff. Responsibilities include custodian interviews, document collection, data searches, analytics, workflow oversight, reporting, quality standards, client communication, budget and schedule management, and team mentoring. The role serves as the primary client contact and provides consultative guidance on discovery processes and deliverables.

Leads complex legal management consulting engagements spanning legal operating models, contracting transformation, legal technology, CLM, and Legal GenAI. Advises General Counsel and senior stakeholders, oversees engagement strategy, delivery quality, budgets, teams, and commercial outcomes. Designs assessments, future-state models, technology strategies, business cases, transformation roadmaps, governance approaches, and implementation plans. Also supports proposals, account growth, thought leadership, methodology development, and consultant coaching.

Leads multiple complex eDiscovery projects from planning through delivery, serving as the primary client contact. Manages schedules, budgets, resources, workflows, reporting, quality standards, and project communications. Provides consultative guidance on data collection, processing, review, analytics, and production. Supervises and mentors project teams, mitigates operational risks, supports client relationships, and contributes to business development.

Leads a hands-on software engineering organization developing AI-enabled legal automation platforms. Responsibilities include setting technical direction, reviewing architecture and code, owning delivery and platform reliability, managing distributed teams, translating legal workflow requirements into scalable systems, and partnering with product, legal operations, executives, vendors, and clients. The role requires oversight of multi-tenant security, AI capabilities, Agile delivery, hiring, mentoring, and engineering quality.

Support and maintain enterprise applications, troubleshoot user issues, coordinate upgrades and enhancements, document processes, analyze application reports, and drive platform adoption. The role requires database knowledge, cloud application and ETL familiarity, enterprise-system integration experience, strong communication skills, and the ability to explain technical concepts to nontechnical users. Bullhorn or Replicon expertise is preferred.

Lead the content strategy and governance layer across enterprise legal technology products. Build voice and tone standards, terminology systems, content patterns, and design system content guidance. Shape AI-assisted product experiences, including explainability and human judgment. Partner with design and product teams on content architecture, audits, roadmaps, enablement, and quality assurance while influencing direction without formal authority.