Top Tech Jobs & Startup Jobs in Charlotte, NC

Own the company’s operating cadence, including management meetings, OKR and metrics tracking, board and investor reporting, risk registers, compliance calendars, and contract operations. Review standard agreements, route complex matters to counsel, maintain repositories and obligation trackers, and manage vendor onboarding and corporate records in Carta. Support strategic leadership projects, company gatherings, and decision follow-through across a remote SaaS organization.

Build and ship production AI products, including LLM coaching experiences, agentic workflows, retrieval and orchestration systems. Develop predictive, classification, ranking, and recommendation models; establish evaluation and quality processes; create trusted data pipelines and knowledge sources; and integrate AI with enterprise systems. The role requires strong ownership, safety-conscious engineering, evidence-based recommendations, and collaboration across Engineering, Product, and Data leadership.

Lead assessment, redesign, and hands-on implementation of data pipelines, ML workflows, and platform infrastructure. Produce prioritized system designs, harden production pipelines, improve observability, reliability, and data quality, and mentor the data team.

Lead complex workforce SaaS implementations from discovery and solution design through launch, adoption, optimization, renewal, and expansion. Advise executive and operational stakeholders, facilitate strategic planning and implementation workshops, manage workstreams and dependencies, and translate customer needs into scalable product solutions. Partner with Product, Engineering, Data, and Design while providing workforce-market expertise, driving stakeholder alignment, platform adoption, and long-term customer outcomes.

Build and operate ingestion and transformation pipelines, model and test core warehouse data, enable analytics and reporting, and maintain ML data infrastructure feeding matching and recommendation models. Partner with Engineering, Product, and Data Science to ensure reliable, documented, and trusted data at scale.

Build and ship full‑stack web features end-to-end using React/TypeScript and Node.js. Partner with Product, Design, and Data to deliver reliable, well-tested software, set and uphold code quality, make technical decisions, and mentor others (at senior level). Own features from design through production and improve tooling, testing, and observability to increase team velocity.