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The Manager II, Customer Success role is associated with Samsara’s IoT-based Connected Operations Cloud, supporting customers using solutions such as vehicle telematics, video-based safety, driver workflows, and equipment monitoring. Specific day-to-day responsibilities and qualifications are not provided in the description.

Own the technical pre-sales cycle for strategic public-sector and enterprise customers. Partner with sales executives on complex deals, align customer requirements with IoT hardware, SaaS dashboards, APIs, integrations, and cloud solutions, and conduct proof-of-concept hardware deployments. Build customer relationships, develop business justifications, mentor sales engineers, and support technical enablement. The remote role covers the Eastern Time Zone Midwest region and requires approximately 50% travel.

The Sales Engineer supports mid-market sales by delivering technical discoveries, product demonstrations, value assessments, proofs of concept, and deployment plans. Responsibilities include explaining IoT solutions, advising customers on hardware installation and integrations, scripting against open APIs, consulting on business transformation, and translating customer feedback to product and sales teams. The role is remote within the Midwest and requires travel up to 50%.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial services, routing and map-matching foundations, and reusable APIs. Scale storage, queries, and computation for real-time products, consolidate fragmented geospatial solutions, develop customer self-service capabilities, and provide mentorship through code reviews and design leadership. Collaborate across teams and represent Samsara in the mapping and geospatial community.

Serve as a technical sales expert for Samsara’s IoT platform, supporting discovery, demonstrations, value assessments, proof-of-concepts, deployment planning, and customer integrations. Explain complex solutions to nontechnical stakeholders, advise installers, write API automation scripts, translate customer feedback to product teams, and support strategic sales cycles. The role is remote in the U.S. West region and requires travel up to 50%.

Sell and support complex IoT solutions for physical operations through technical discovery, demonstrations, value assessments, proofs of concept, installation planning, API scripting, integrations, and customer consulting. Translate technical concepts for business stakeholders, provide product feedback, and support strategic sales cycles across logistics, safety, fleet, and asset-management use cases.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Gather requirements, design technical solutions, develop and review code, document best practices, troubleshoot implementations, and support customer deployments. Collaborate with product, sales, systems engineering, and developer ecosystem teams while managing complex projects and multiple stakeholders. Apply Python, cloud platforms, LLM-based tools, agentic workflows, databases, and modern Agile practices.

Manage end-to-end deployment and adoption of Samsara’s IoT solutions for enterprise customers. Develop launch plans, track implementation progress and account health, train diverse stakeholders, explain platform capabilities, and drive quick time to value. The role manages multiple customer engagements while collaborating with Sales, Support, Sales Engineering, and Product to deliver successful implementations and strong customer relationships.

Support partner sales by implementing and managing scalable partner processes, driving program design, owning projects end-to-end, improving systems (including Salesforce), performing quantitative analysis to track KPIs, and coordinating cross-functional stakeholders to enable partner-facing sales teams.

Build and ship internal data and AI products to help Product and Engineering teams. Analyze large structured and unstructured datasets, convert analyses into repeatable tools and dashboards, and drive end-to-end projects from scoping to launch and iteration. Use AI-assisted development tools responsibly, translate findings into decision-ready recommendations, and embed feedback loops and documentation for long-term adoption.