Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.

Field-first outside sales role to acquire new accounts and grow territory across universities, dental, dermatology/aesthetics, and ASI/decorator channels. Own full sales cycle, build pipeline, execute in-person demos/fittings, enable distributor partners, maintain CRM hygiene, manage licensing/EDI/compliance, collaborate with marketing and operations, and deliver weekly activity and monthly forecasts. Frequent travel required.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Owns the consumer credit reporting and Fair Credit Reporting Act risk governance program. Leads Metro 2 file creation, data quality audits, CRA submissions, dispute management, root cause analysis, regulatory compliance, and exception resolution. Manages Dispute Analysts, oversees SLAs and quality assurance, and partners with Legal, Risk, Operations, and Engineering on automation, system enhancements, and continuous process improvement.

Manage a portfolio of ISP, home security, and satellite provider partnerships as the primary contact. Build relationships, monitor KPIs, present performance insights, and identify revenue-growth opportunities. Coordinate marketing, analytics, finance, legal, compliance, technical, and operations teams to optimize partner buyflows, integrations, compensation, contracts, invoicing, and onboarding. Maintain operational excellence while managing multiple partner workstreams and driving retention and performance.

Build and scale production inference systems and customer-facing APIs for AssemblyAI’s voice AI models. Responsibilities include productionizing research prototypes, improving latency and reliability, supporting high-volume inference traffic, developing backend services and SDKs, and collaborating with researchers, applied engineers, customers, and product teams.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Build and deploy computer vision and machine learning solutions for power grid infrastructure, including defect detection, thermal anomalies, vegetation monitoring, and intrusion surveillance. Responsibilities span research implementation, model experimentation, error analysis, data pipelines, experiment tracking, model serving, testing, monitoring, and client delivery. The role requires productionizing models, adapting research papers, optimizing architectures, and independently owning projects from problem definition through deployment.

Lead discovery workshops and architect Salesforce Data 360 solutions that unify enterprise data through ingestion, identity resolution, governance, zero-copy integrations, segmentation, and real-time activation. Design integrations across Salesforce clouds and external data sources, define marketing and customer lifecycle strategies, and support pre-sales engagements. The role requires hands-on Data Cloud implementation expertise, data modeling, privacy and consent knowledge, and active Salesforce certifications.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.