Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

Manage a portfolio of strategic enterprise accounts to drive adoption, scale, and value from an AI SaaS solution. Lead onboarding, success plans, QBRs, health checks, change management, and cross-functional advocacy to identify upsell, mitigate risk, and ensure retention. Track AI adoption and usage metrics and translate them into value stories for clients and internal stakeholders.

Lead complex EHR integration discussions with customer IT teams, advising on technical requirements, system configuration, access, entitlements, and integration capabilities. Partner with implementation teams to align customer needs with Clinical Solutions. Maintain technical documentation, connect internal departments, identify process improvements, and develop scalable protocols that improve customer satisfaction, retention, and clinician access to clinical content.

Lead end-to-end UX design for a KYC orchestration product, translating complex compliance, risk, investigation, and AI-assisted workflows into intuitive experiences. Conduct customer discovery, research, usability testing, and workflow analysis; create journeys, information architecture, wireframes, prototypes, design patterns, and high-fidelity designs. Collaborate with Product, Engineering, Research, Data Science, and customers to validate solutions, communicate tradeoffs, and guide implementation.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

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 strategy, discovery, development, delivery, and growth for Bankers Almanac products. Conducts customer research, defines roadmaps and requirements, prioritizes initiatives, manages cross-functional execution, and uses analytics to improve adoption, retention, satisfaction, and revenue. Partners with engineering, design, data, sales, marketing, and customers to deliver innovative software and data solutions, including potential AI-enabled capabilities.

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.

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.