Top Tech Jobs & Startup Jobs in Charlotte, NC

Own website growth for a B2B SaaS company by increasing high-intent traffic, improving conversion rates, and maintaining end-to-end attribution. Manage Webflow, GA4, tracking, forms, cookies, and marketing integrations. Execute SEO, AEO, GEO, personalization, interactive tools, and continuous A/B testing. Partner with advertising, product, sales, and RevOps teams to connect web performance with pipeline outcomes.

Leads corporate FP&A, annual planning, forecasting, long-range modeling, board and investor reporting, fundraising analysis, capital strategy, IPO readiness, and scenario planning. Partners with Accounting on metrics and public-company reporting standards, upgrades planning systems, and builds the corporate finance team. Requires extensive finance leadership, SaaS metrics expertise, advanced financial modeling, and hands-on IPO or public-company experience.

Lead exploration and application of large language models and generative AI, translate research into deployable ML systems, and guide strategic direction. Develop solutions across experimentation, implementation, and deployment while collaborating with engineering and product teams to optimize performance and customer outcomes in contact center automation.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

Build and own production AI agents for assigned customers: discover workflows, design prompts and conversation flows, integrate with customer APIs/CRMs, create test sets, measure and harden agents, monitor live conversations, debug and ship fixes, and feed product improvements. Work customer-embedded to deliver reliable, secure, scalable LLM-powered voice and conversational AI solutions.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Lead a 8–15 engineer product squad as a servant leader: hire and grow engineers, own team budget and headcount, drive predictable high-quality delivery, embed AI practices, shape processes and outcomes, ensure engineering excellence (testing, validation, developer experience), and partner across Product and Delivery. Act as a peer in the engineering-management leadership team.