Top Tech Jobs & Startup Jobs in Greensboro, NC

Senior Node.js engineer responsible for building and maintaining scalable backend Node/TypeScript microservices, supporting UI work in React/Angular, designing APIs, implementing CI/testing, working with containerization and cloud infrastructure, and advising stakeholders on technical trade-offs and feature engineering.

Lead and own the technical systems and teams that run operations, redesign GTM architecture for AI, manage managers and ICs, drive company-wide AI-native capabilities, and personally deliver high-priority technical initiatives that improve business outcomes.

Lead and execute full-stack SEO, AEO/GEO, and AI-citation strategies to drive high-intent organic traffic and MQLs. Manage large-scale AI-assisted content production (2K+ pages/month target), implement technical schema and llms.txt, track AI visibility/citation metrics, run freshness/refresh programs, coordinate cross-functional planning, and present SEO performance tied to pipeline and revenue.

Administer and govern the revenue enablement tech stack (LetterAI, Seismic, Gong, Consensus), configure certification and AI role-play workflows, manage content taxonomy and access, build adoption and certification reports, deliver end-user training, and partner with Operations and Programs to align tools to launches and OKRs.

Lead enterprise architecture for secure, scalable, cost‑optimized multi‑cloud and hybrid infrastructure supporting applications, data, AI/ML and LLM workloads. Define roadmaps, standards, landing zones, governance, FinOps, and implementation guidance while partnering with security, data, engineering, and operations teams to ensure successful delivery and operational readiness.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.

Lead client-facing accounting teams for VC/PE funds: manage client relationships, drive month-end close, reconcile banking and investments, prepare quarterly financial statements, maintain investment database, produce investor communications, manage audits and tax work, and mentor staff while ensuring US GAAP partnership accounting and waterfall allocations are accurate.

Develop, pitch, report and produce video journalism across formats (short, longform, investigations, podcasts, social). Manage pre-production, logistics, shooting and editing, meet tight deadlines, collaborate newsroom-wide, and uphold WSJ editorial and legal standards.

Lead strategic initiatives for major accounts in digital, data, and AI. Develop and implement account strategies, deepen executive client relationships, manage contract negotiations and renewals, collaborate cross-functionally to deliver integrated solutions, and drive upsell and cross-sell across high-value, multi-location (including international) accounts.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

No job description, responsibilities, or qualifications were provided. Title suggests a combined Data Engineer and Business Analyst role, likely involving data pipelines, ETL, data modeling, and business requirements/analytics, but specifics are not available.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Analyze marketing program performance and funnel conversion to optimize ROI and pipeline contribution. Build multi-touch attribution models, ensure marketing data integrity across Marketo/HubSpot/Pardot and Salesforce, develop forecasts and dashboards (Domo/Tableau/Looker), and provide actionable insights to marketing leadership to improve demand generation efficiency.