Top Tech Jobs & Startup Jobs in Greensboro, NC

Lead state government sales for FutureFit AI: own full sales cycle from discovery to signed contracts, build multi-stakeholder relationships, navigate procurement and RFPs, monitor policy and funding cycles, and help create a repeatable go-to-market playbook while aligning internal teams.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Lead end-to-end IT sourcing for hardware, software, SaaS, and security services. Develop sourcing strategies, run RFx and negotiations, draft and manage contracts, perform market and TCO analysis, mitigate risks, manage supplier performance, and align cross-functional stakeholders to optimize cost, performance, and vendor portfolios.

The Enterprise Account Executive will drive revenue growth, manage relationships with insurance agencies, and oversee the sales process from prospecting to closing.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

Lead US sales growth for an educational video platform: own revenue targets, build and coach a high-performing sales team, drive pipeline and deals, align GTM with Marketing and Customer Success, manage forecasting and Salesforce discipline, and lead regional bids and stakeholder relationships.

Qualify and convert leads into demos by contacting decision makers via phone, email, and web chat; respond to real-time signups; meet monthly quotas; support marketing campaigns; represent the WebPT brand; and collaborate with sales to schedule product demonstrations.

The Embedded Software Engineer will analyze and develop embedded software systems, provide customer support, and apply software engineering and cybersecurity methods.

Manage data management and analytics projects, utilizing agile practices. Coordinate with cross-functional teams to ensure successful delivery and mitigate risks.

Lead enterprise AI adoption by identifying high-impact use cases, designing agentic workflows and automation, building an AI enablement team, partnering with business leaders, ensuring governance and measuring ROI to drive productivity and transformation.