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 technical strategy and architecture for Coinbase's Blockchain Platform, overseeing nodes, indexers, wallets, and asset lifecycle. Drive cross-team platform rearchitectures, enforce security and reliability standards, champion AI-driven automation, use observability to improve reliability, and represent the platform to executives to secure alignment and resources for large-scale blockchain infrastructure initiatives.

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.

Lead global paid performance channels (search, social, mobile UA) to drive new user acquisition and ROI. Own strategy, testing, measurement, platform partnerships, and performance reporting; partner with Data Science and cross-functional teams to design experiments, scale playbooks, and surface insights to leadership.