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

Own enterprise sales cycles from prospecting through close, developing executive relationships within strategic accounts and selling Samsara’s connected operations solutions. Manage complex deals involving POCs, trials, multiple stakeholders, pricing negotiations, and C-level engagement. Consistently exceed quota on $100K+ ARR transactions, conduct strategic outbound prospecting, and travel monthly to meet customers.

Owns strategic, cross-cutting initiatives for Samsara’s Telematics business, driving commercial impact and identifying adjacent product opportunities. The role involves developing hypotheses and business cases, incubating 0-to-1 or 1-to-10 products, partnering closely with engineering and go-to-market teams, prototyping with AI tools, and validating solutions with customers. This is a hands-on, highly autonomous principal-level individual contributor role focused on B2B SaaS and physical operations.

Own the multi-year vision and end-to-end software install experience for Samsara devices. Drive install correctness metric, design guided install and verification flows in the Samsara Fleet app, build intelligence to verify hardware installs, provide fleet readiness visibility, run customer install observations, and translate findings into roadmap across hardware, firmware, and software.

The Director of Field Sales Engineering leads a team focused on incubating new products, driving adoption, and ensuring cross-functional collaboration to deliver technical value to customers.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.

Owns high-severity customer finance escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyzes escalation trends, leads process-improvement programs, improves workflows and dashboards, coaches frontline teams, and drives systemic issue prevention. Success is measured through faster resolution, improved customer satisfaction, SLA adherence, and permanent resolution of recurring problems.

Own complex customer escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyze escalation trends, quantify business impact, and lead programs improving workflows, SLAs, tooling, reporting, and customer-facing processes. Coach frontline teams on de-escalation and prevention, deliver post-mortems, and ensure accountability for follow-up actions. Success is measured through faster resolution, improved customer satisfaction, systemic issue elimination, documentation quality, and SLA adherence.

Own complex customer escalations from triage through resolution, coordinating cross-functional teams and executive communications. Analyze escalation trends, quantify business impact, and lead programs that improve workflows, tooling, reporting, SLAs, and customer-facing processes. The role also includes coaching frontline teams, producing post-mortems, tracking commitments, and driving systemic improvements that reduce resolution times and improve customer satisfaction.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.