Top Tech Jobs & Startup Jobs in Charlotte, NC

As a Staff Front End Engineer, you will lead the front end vision, drive architecture decisions, and mentor engineers while developing high-impact web applications in a collaborative environment.

As a Senior Data Scientist, you will identify business opportunities, build machine learning solutions, partner cross-functionally, and translate analyses into actionable insights.

Partner with Account Executives, Account Managers, and revenue leaders to coach live deals, diagnose skill gaps, and scale top-performer behaviors. Own onboarding, ramp, playbooks, and enablement content, leverage AI and conversation intelligence, define success metrics with RevOps, and measure impact to improve seller behavior and business outcomes.

Drive greenfield enterprise sales for Medely's Talent Fusion platform by building pipeline through outbound prospecting and executive networking. Own full sales cycle, open new hospital and health system logos, navigate complex buying committees, negotiate MSAs and multi-product agreements, manage 3-6 month sales cycles, and partner cross-functionally to ensure long-term customer success and influence product and GTM strategy.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.

Full-cycle Account Executive responsible for prospecting, discovery, tailored demos, and closing outpatient healthcare facility customers in an SMB territory. Build pipeline primarily via self-prospecting, navigate multi-stakeholder sales cycles, partner with Customer Success for onboarding, and consistently hit quota while contributing market insights and mentoring peers.

Lead vision, strategy, and roadmap for the Flex marketplace. Own initiatives end-to-end from discovery through launch, use data and research to prioritize, partner with engineering and cross-functional teams, measure outcomes, and apply AI/LLMs pragmatically to improve matching, conversion, retention, and operational efficiency.