Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead legal technology engagements including requirements gathering, process review, system selection, configuration, testing, data migration, and change management. Produce deliverables (design docs, data maps, test scripts, training), manage project scope/timelines/budgets, coordinate with vendors and clients, and support business development and team growth.

The HR Business Partner will collaborate with employees and leaders to implement HR initiatives, improve engagement, manage talent processes, and provide guidance on HR matters.

Manage full-cycle recruiting for technical and consulting roles with emphasis on AI talent. Partner with leaders to build sourcing strategies, pipelines, and candidate evaluation for LLMs, prompt engineering, ML, and AI governance roles. Maintain ATS data, report metrics, document recruiting best practices, and deliver strong candidate and hiring manager experiences.

Designs and delivers instructor-led and distance learning curriculum for law firm clients, creates training materials and quick references, coaches end users, supports onboarding, and promotes continuous improvement in technology adoption.

Support the Vendor Governance and Sourcing team in managing vendor relationships, conducting analysis, delivering presentations, and developing project plans while collaborating with cross-functional teams.

The Senior Manager will lead data modernization strategies, mentor teams, and serve as a trusted advisor to legal clients, focusing on data architecture and AI readiness.

Early-career consultant delivering client-facing legal technology and integration workstreams. Communicate technical concepts, troubleshoot moderately complex issues, adopt new tools, contribute to solution design, document lessons learned, and maintain client relationships while supporting project delivery and process improvements.

The Consultant will lead legal technology projects, manage client relationships, gather requirements, and support process design and implementation in the legal industry.

Lead complex legal AI programs from strategy through adoption: advise senior legal stakeholders, orchestrate multidisciplinary teams, translate delivery signals into program decisions, create lightweight operating cadence, challenge weak assumptions, and build reusable frameworks and governance to scale AI capabilities across clients.

Lead client AI engagements in the legal market: define strategy, own relationships, design operating models, configure systems, guide architecture and integrations, and work hands-on with engineers to deliver production-grade AI solutions.