Top Tech Jobs & Startup Jobs in Charlotte, NC

Serve as the technical anchor for a cross-functional engineering squad building healthcare data platforms. Design and maintain Java Spring Boot, React, and Python data-processing applications; guide architecture, code quality, estimation, releases, integrations, and issue resolution. Build reliable data delivery pipelines, mentor peers, support Agile execution, and promote responsible AI-assisted development using tools such as GitHub Copilot.

Leads and develops a North American PMO team while overseeing end-to-end project portfolio delivery. Responsibilities include resource assignment, portfolio health, financial performance, risk and escalation management, executive reporting, project governance, quality assurance, stakeholder alignment, and delivery process improvement. The role drives consistent use of PMO tools and methodologies, ensures accurate Adaptive Work data, and supports successful project closure and business outcomes.

Lead the vision, roadmap, discovery, development, and launch of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, align cross-functional teams, define success metrics, and use feedback and data to improve outcomes. The role requires responsible AI practices emphasizing quality, privacy, transparency, and trust.

Leads the Digital Commons Product Operations team and oversees client onboarding, migrations, integrations, customer retention, risk mitigation, product workflow improvements, and post-sales lifecycle management. Partners with Sales, Product, and Consulting Services to support launches, resolve client issues, improve product adoption, and execute departmental priorities. Manages people, resources, performance, and business planning while advising Product leadership using client and technical insights.

Develops, licenses, and manages analytical tax, accounting, and legal content for professional customers. Responsibilities include researching tax law, legislation, regulations, and case law; writing and editing practical guidance; using generative AI to improve content workflows; recruiting authors and negotiating licensing agreements; and collaborating with editorial, product, technical, sales, and marketing teams. Requires a JD, CPA designation, significant accounting experience, and at least two years each of tax legal and accounting experience.

Develop and validate AI-driven legal product capabilities using NLP, LLMs, generative AI, RAG, hybrid search, and agentic workflows. Analyze large-scale legal datasets, design model evaluation and benchmarking practices, translate experiments into product recommendations, collaborate with product, legal, and engineering teams, and mentor data scientists while providing technical leadership.

Designs and develops secure, production-grade AI solutions for government patent-data workflows. Responsibilities include building generative AI applications, LLM and RAG capabilities, reusable services, APIs, evaluation frameworks, and integrations. Provides architecture guidance, establishes responsible-AI controls, evaluates technical alternatives, mentors engineering teams, and supports government demonstrations, proposals, and stakeholder engagements. The role grows toward end-to-end AI architecture and technical strategy ownership.

Owns new-business sales across large enterprise accounts, from prospecting and executive relationship development through solution design, negotiation, and contract signature. The role requires building pipeline, leading consultative discovery, navigating complex buying groups, shaping solutions involving SaaS, data, APIs, AI, and business intelligence, and achieving individual revenue targets. Collaboration with product, content, and solution experts is essential, along with accurate forecasting and strategic account planning.

Prospects for new business through phone, email, and LinkedIn; researches and qualifies leads; coordinates with Marketing; documents prospect information; schedules demonstrations and meetings; builds sales pipeline; identifies decision-makers; and generates qualified opportunities for account executives.

Owns law enforcement product features, product development plans, customer needs, prioritization, and project execution. Supports go-to-market strategy, product messaging, pricing and competitive positioning, prototypes, MVPs, demonstrations, and issue resolution. Collaborates with engineering, design, sales, customers, and leadership while applying Agile and Lean methodologies and understanding technical architecture. Requires U.S. citizenship and CJIS-related background certification.