Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, develop, and run sales enablement programs: own Highspot content, build/playbook and onboarding, analyze Gong calls to create coaching materials, run trainings, track ramp and certifications, partner with sales leaders, and support kickoffs and QBRs while maintaining compliance.

Executive leader owning sales operations strategy, systems, and processes: forecasting, territory and compensation design, sales technology, analytics, team building, and cross-functional alignment to improve revenue predictability, sales productivity, and reduce time-to-close.

Lead and scale Account Management to drive renewals, upsell, cross-sell, and account expansion across Mid Market, enterprise, and TPA customers. Set quotas and KPIs, manage forecasting and CRM hygiene, coach on MEDDPICC, negotiate high-stakes renewals, and partner with Customer Success, Product, and Marketing to convert adoption into measurable growth revenue.

Own a core product area end-to-end: set strategy and roadmap, lead discovery and specs, partner with engineering and design to ship, instrument and track post-launch metrics, translate customer insights into prioritized product work, and present outcomes to executive leadership while maintaining security/compliance.

Lead AbsenceSoft's growth engine to drive ARR and pipeline by owning demand generation, events, customer marketing, digital, partner marketing, and marketing operations. Partner with Product, Brand, Corporate Communications, and Sales to optimize lead lifecycle, attribution, and reporting. Scale a multi-disciplinary marketing team, deploy marketing technology and AI tools, and align marketing strategy with revenue goals and C-suite priorities.

Lead and scale the mid-market sales organization for a high-growth SaaS HR platform. Develop and execute sales strategies, manage and coach account executives and sales leaders, drive pipeline management and forecasting, partner cross-functionally to expand accounts, and represent the company at industry events to meet revenue targets.

Design, build, and deploy scalable AI/ML models (especially NLP and predictive models), implement MLOps and data pipelines, optimize model performance, research prototypes, ensure ethical and compliant AI, and collaborate with product, engineering, and data teams to embed AI into the leave management platform.