Top Artificial Intelligence Jobs in Charlotte, NC

Monitor trading activity and alerts, investigate suspicious behavior, support new asset launches and liquidity assessments, collaborate with engineering and compliance teams to improve surveillance, enforce trading policies, and handle regulatory requests and ad-hoc projects.

Lead product marketing for Coinbase prediction markets: know customers, design and execute growth strategies across channels, launch features, measure performance, and shape long-term product vision.

Manage consumer litigation and arbitration, execute litigation strategy, advise stakeholders, draft pleadings, and engage outside counsel while ensuring effective team collaboration.

The role involves developing data-driven strategies, aligning client goals with analytics, and implementing cloud data solutions using various platforms.

The Solution Sales Executive will focus on driving market success for Security and Identity solutions, developing strategies, closing enterprise software deals, and collaborating with teams to deliver business value.

Provide clinical oversight for utilization management of child and adolescent behavioral health, lead peer reviews and consultations, ensure compliance with regulations, implement evidence-based treatment guidelines, and collaborate with multidisciplinary teams to support quality assurance and care coordination.

The Enterprise Sales Engineer drives technical sales support, conducts product demonstrations, collaborates with product teams, manages evaluations, and builds process improvements while maintaining customer relationships and achieving sales quotas.

The role involves leading the Customer Success team, enhancing customer engagement strategies, and driving value realization for mid-market customers while fostering an inclusive team culture.

As a Customer Success Manager, you will work with top customers to understand their needs, advise on customizing the IoT platform, and facilitate success through collaboration with various teams.

The RIA Senior Specialist provides customer service, handles calls, assists advisers, trains new staff, and resolves operational issues.

The Senior Business Operations Manager will drive market entry strategies, program management for launches, and build analytical models to enhance international growth.

The Senior Manager of Business Strategy & Operations will drive operational excellence in the sales organization, collaborating globally, enhancing efficiencies, and managing reporting and analytics.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

As Senior Manager of Product Management, you'll guide a team to enhance Dropbox.com, aligning web experience with strategy, stakeholders, and user needs.

Provide technical support for Dropbox products via phone, email, and chat. Communicate issues, provide solutions, and maintain customer satisfaction.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Lead strategy and execution for major Capital Platform problem spaces, driving multi-quarter cross-functional initiatives. Design scalable, configurable partner integrations, capital execution workflows, and reporting infrastructure. Partner with engineering, finance, and compliance to deliver enterprise-grade, auditable systems that support lenders, investors, and embedded capital solutions.

Lead full‑stack projects for Upstart's Auto Refi and Auto Secured Personal Loans products. Collaborate with cross‑functional partners, make architectural decisions, deliver high‑quality, testable, resilient code, and propose ideas to improve product metrics and conversion.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

Develop and implement architecture patterns, automate deployments, manage SaaS platforms, and ensure compliance in a highly available cloud environment.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.