Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As an Enterprise Sales Engineer, you'll support sales growth through technical expertise, conduct product demos, manage projects, and provide technical solutions while meeting sales quotas.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead product vision and roadmap for end-to-end supply chain technology, driving platform architecture, integrations, automation, and AI solutions across planning, procurement, fulfillment, order management, and reverse logistics. Partner with cross-functional teams to modernize systems, define KPIs, evaluate vendors, and deliver measurable operational improvements.

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

The Sales Engineer I will assist the Global Sales Team with technical inquiries, conduct technical trials, manage product content, and support customer communications to ensure success in implementing Samsara's IoT solutions.

Lead design and execution of outbound pipeline programs to drive sales pipeline and revenue. Diagnose pipeline gaps, align cross-functional GTM teams, manage full program lifecycle, track and analyze impact, iterate on tactics, and build AI-powered automations to scale programs while communicating results to sales leadership.

Lead enterprise customer implementations of Samsaras IoT platform, manage deployment plans, run trainings, track adoption and account health, coordinate cross-functionally, mentor teams, and ensure customers realize value and renewals.

Lead GTM business operations for Commercial and Mid-market segments: set strategy, advise sales leaders, own planning/forecasting, run cross-functional strategic projects, generate analytics and AI-driven insights, hire and lead a high-performing team.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Lead backend and AI work for in-vehicle, real-time voice and agent experiences. Define architecture, ship zero-to-one AI products, design edge-aware distributed systems, establish reliability/observability for AI decisioning, mentor firmware engineers, and drive technical direction.