Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead design and implementation of batch and stream loading systems to ingest terabytes daily. Provide technical leadership on the Streamloader team, collaborate with architects, engineers, product, sales, and customers, and develop high-performance distributed software in C++ and/or Java while ensuring system reliability and customer success.

Lead product strategy and roadmap for Ocients database solutions. Translate customer problems into feature specifications, prioritize high-value work, collaborate with technical PMs, sales, and marketing, drive complex projects to delivery, and engage directly with customers and partners on large-scale data ingest, warehousing, and analytics use cases.

Design and implement production ML features, close behavior gaps with common frameworks, investigate divergences, improve performance and stability, and document designs and tests for geospatial and large-scale ML workflows.

As a founding Account Executive, you will develop customer relationships, co-create sales strategies, and ensure client satisfaction while representing CorePilot at industry events.

This role involves owning the positioning and messaging for TLDR, creating sales toolkits, and ensuring cohesive communication across teams for effective market launch and sales enablement.

Design and build complex dashboards and interactive visualizations in Power BI and SAP SAC; integrate and model data from SAP BW, SAP HANA, and SQL; develop planning models and advanced formulas for financial/operational planning; gather requirements from stakeholders; optimize dashboard performance, manage data pipelines, and maintain report stability.

Lead marketing strategy and execution for Distributed Power in the Americas: market research, pricing analysis, product roadmap input, channel and launch support, customer insights integration, cross-functional coordination, and mentoring junior marketers to drive commercial performance and growth.

Design, build, and scale detection and diagnostic ML models for PV and storage time-series data; own model lifecycle from problem definition to production and monitoring; partner with engineering and operations to deploy models and measure field impact; prototype new approaches and guide technical roadmap.

Own and build frontend experiences across Air's web platform: translate product/design needs into high-quality UI, architect and ship features, improve component design and rendering performance, maintain a scalable design system, enforce accessibility and code quality, mentor engineers, and participate in reviews and hiring.

The Staff Engineer at G2i will lead and grow an engineering team, set technical strategy, and ensure quality delivery across full-stack systems while fostering a culture of ownership and continuous improvement.

The Full-Stack Developer will design and maintain web applications using React and Node.js, focusing on performance and scalability. Responsibilities include creating APIs, deploying applications, and ensuring high code quality.

Lead multiple engineering teams owning the patient journey, plus QA and Product Support across apps. Manage managers, set technical quality standards, stay hands-on in code, adopt AI-assisted development, solve cross-team reliability and observability problems, and partner with product, design, and clinical stakeholders to deliver reliable, high-value patient experiences.

Build and deploy production AI capabilities for mental healthcare: full‑stack development, agentic systems, RAG and retrieval pipelines, evaluation frameworks, safety guardrails, observability, CI/CD, and cross‑functional collaboration to ensure safe, reliable AI in clinical workflows.

Build and maintain ingestion pipelines, Python services, and dbt models on AWS and Snowflake. Own operational on-call responsibilities, migrate pipelines to Airflow, contribute to CI/CD, collaborate with BI/Analytics, and mentor junior teammates.

Design and build secure, scalable cloud-native, AI-enabled applications and microservices for utilities. Lead architecture, translate requirements, develop APIs and data-driven solutions, mentor engineers, and ensure software quality and delivery.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.