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The role involves direct sales to small and medium businesses, from prospecting to closing, while building strong customer relationships and achieving sales targets.

Provide advanced multi-channel customer support and escalations for billing, renewals, cancellations, and product issues. Mentor teammates, manage high-volume caseloads, analyze customer trends, lead cross-functional improvements, and maintain exceptional documentation and service quality.

Lead quality assurance for Deal Support by auditing deal workflows, designing rubrics and coaching frameworks, analyzing quality data, delivering insights to leadership, and collaborating cross-functionally to improve processes and consistency.

The Account Executive will engage with small to medium customers, generating leads and closing sales while building relationships and understanding business operations.

The Enterprise Customer Success Manager facilitates customer engagement, ensuring clients maximize the value of IoT solutions through tailored success plans and collaboration across teams.

Lead two mobile pods (Platform and Product) to define cross-platform strategy, improve CI/build systems and performance SLOs, deliver customer-facing features, manage and grow ~13-14 engineers, drive platform migrations, and maintain operational KPIs and engineering quality.

Manage strategic relationships with enterprise customers to drive adoption and business value of Samsara's IoT platform. Create success plans, run executive business reviews and workshops, mentor teams, coordinate cross-functional stakeholders, and travel to customer sites to optimize safety, efficiency, and sustainability.

As a Public Sector Enterprise Core Sales Engineer, you'll support senior sellers, conduct product demonstrations, manage projects, and contribute to sales enablement efforts while ensuring customer satisfaction and technical sales acumen.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.