Top Tech Jobs & Startup Jobs in Charlotte, NC

Own the CLM technology roadmap and lead in-house builds, integrations, and AI enablement for contracting workflows. Design scalable contract solutions with Engineering and Enterprise Architecture, build reporting and metadata systems, run AI/automation proofs of concept, and lead large cross-functional contract initiatives while communicating outcomes and strategy to senior stakeholders.

Lead cross-functional programs to transform customer support with AI-powered automation, agent tooling, analytics, and vendor evaluations. Define roadmap, size opportunities, set success metrics/OKRs, manage dependencies, and drive rollout/change management while partnering with Product, Engineering, Analytics, and Operations to deliver measurable CX improvements.

Define and drive Payments technical strategy and architecture for rails, routing, and funds-flow systems. Lead large cross-team initiatives, ensure financial correctness, improve reliability and cost via observability, mentor senior engineers, and align stakeholders across product, risk, and regulatory teams.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Work with customers and sales as a technical advisor to design and build integration solutions on Coinbase services. Architect distributed systems, develop open-source SDKs and reference implementations, lead end-to-end customer implementations, deliver technical presentations, remove roadblocks, and collaborate with product and engineering to extend platform capabilities. Substantial hands-on coding required.

Serve institutional clients by delivering execution and liquidity solutions across spot and derivatives markets. Drive trading volume, build counterparty relationships, collaborate with Sales/Financing/Product teams, provide market commentary and real-time trade support, and inform product development. Role requires weekend availability and responsible use of generative AI.

Lead cross-functional technical programs to build and scale knowledge infrastructure for self-service, internal support, and AI-assisted discovery. Translate knowledge strategy into technical specs, APIs, schemas and delivery plans. Drive roadmap, dependency management, risk escalation, and launch-readiness while improving automation, metadata, CMS, and machine-readable knowledge to reduce manual work and scale support operations.

Own and evolve revenue calibration models tying CX interactions to revenue, design causal inference and experimentation frameworks, build LLM-powered classification/NLP pipelines, productionize models with Analytics Engineers, define segmentation and behavioral signals, and ensure statistical rigor for executive reporting and regulatory defensibility.

Lead ML feature strategy and engineering for fraud detection, owning end-to-end pipelines, validating features at scale, and translating analytics into production ML systems. Drive tooling and architecture decisions, mentor junior team members, partner cross-functionally with product and risk teams, and apply practitioner-level ML knowledge to detect and prevent account takeover and scam activity.

Own end-to-end privacy incident management: triage and lead incident response, coordinate cross-functional remediation, maintain on-call readiness, run retrospectives, track remediation and metrics, and improve tooling and automation to reduce manual work.