Top Tech Jobs & Startup Jobs in Charlotte, NC

The role involves engaging with major clients to enhance their use of IoT products, ensuring safety and efficiency in operations, and collaborating with internal teams to drive customer success.

Manage Demand and Supply Planning teams, overseeing hardware forecasts, ensuring cross-functional collaboration, and driving process improvements in planning and supply chain.

The Sales Enablement Manager will help improve physical operations by enabling sales teams through training, tools, and resources to effectively sell IoT solutions, ensuring they have the knowledge and support needed to address customer needs and succeed in the market.

Samsara seeks a specialist seller to drive growth in emerging enterprise products, collaborating with Account Executives and influencing strategies with major clients.

As a Technical Support Engineer, you will resolve complex customer issues related to Samsara's IoT products, manage tickets, and collaborate with engineering teams to enhance support.

Own and drive the vision, roadmap, and user experience for core support tools. Lead discovery, write PRDs and wireframes, manage execution with engineering and AI teams, coordinate launches and enablement, and track KPIs to drive adoption and business impact.

Lead Hardware Product Operations to drive successful hardware launches, owning cost, resilience, and supply chain enablement. Partner with R&D, NPI, engineering, product design, and external JDMs to maintain schedules, ramp to mass production, and manage supplier relationships. Build systems, hire and develop a high-performing team, and embed company cultural principles.

Lead and scale onboarding programs for Sales, Customer Success, and Renewals teams, improving performance and ensuring new hires are productive.

The Technical Support Engineer will provide hardware and software support, troubleshoot complex issues, manage tickets, and document knowledge to improve customer experience.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.