Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior Product Manager will lead the AI platform's product strategy and roadmap, focusing on delivering foundational AI capabilities for internal and external teams while ensuring compliance and developer experience.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

The Senior HR Business Partner manages the full employee lifecycle, ensuring compliance with processes and policies. Responsibilities include employee relations, onboarding, project implementation, and collaborating with management to address HR issues.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Lead documentation strategy and team for a SaaS lending platform: design content taxonomy, manage authoring tools and publishing workflows, mentor writers, author complex admin/user guides, align documentation with product releases, and prioritize improvements based on user feedback and support data.

Build and maintain federated identity and authorization platform services for a multi-tenant SaaS environment. Implement integrations (OAuth/OIDC/SAML/JWT), design observable, fault-tolerant backend services in .NET or Python, use AI-assisted development tools, write tests and observability, participate in on-call and mentoring, and produce documentation and tooling to enable product team integrations.

Design intuitive, scalable B2B and B2B2C financial product experiences across the full design lifecycle. Create responsive prototypes and design-system components in Figma, collaborate with Product and Engineering, run usability testing, apply AI-assisted design tools, and ensure solutions meet business, technical, and regulatory constraints.

As a Product Manager, you'll manage the product roadmap and Go-To-Market strategies, maximize team output, analyze data for opportunities, and communicate customer needs across departments.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.