Top Tech Jobs & Startup Jobs in San Francisco, CA

Own enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Create launch roadmaps, track implementation and account health, deliver training and demonstrations, resolve challenges, and manage multiple engagements. Partner cross-functionally with Sales, Support, Sales Engineering, and Product while advising executives and end users. Mentor Customer Success and Support teams and build trusted strategic customer relationships.

Lead complex contract reviews and ASC 606 revenue recognition conclusions, document technical accounting positions, automate revenue processes and controls, support SOX and external audits, and partner with Sales, Legal, Deal Desk, and Revenue Operations. The role also addresses novel revenue issues, develops AI-enabled accounting routines, and manages and mentors an accounting team.

Lead full-cycle enterprise sales for Samsara’s Tracking Label product across U.S. enterprise accounts. Build ROI-driven business cases, coordinate with account teams, navigate Legal, Procurement, and InfoSec stakeholders, and convert pilots into multi-site deployments. Develop executive relationships, refine sales playbooks, provide product feedback, and accelerate adoption across logistics, manufacturing, retail distribution, and other physical-operations customers.

Leads Samsara’s globally distributed Core Infrastructure team and owns strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager develops engineers, drives modernization and complex technical initiatives, improves capacity management, observability, incident response, disaster recovery, and safe rollouts, and builds automation and self-service infrastructure. The role also partners with engineering and security leaders, applies AI-enabled workflows, and hires and develops an inclusive, high-performing team.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, and legal stakeholders. Build scripts, automated workflows, runbooks, and security operations capabilities. Mentor security engineers and support insider threat initiatives using SIEM tools, cloud security practices, and forensic techniques across macOS, Windows, and Linux.

Own the roadmap and end-to-end seller experience for quoting, approvals, and opportunity workflows across Salesforce and CPQ systems. Partner with Sales, Deal Desk, Finance, and Engineering to identify problems, build prototypes and internal tools, use AI-assisted workflows, measure adoption and business impact, and iterate solutions. The role requires hands-on product building, stakeholder management, and expertise in go-to-market or revenue systems.

Own complex, cross-functional digital and web programs from planning through delivery. Develop program plans, manage milestones, risks, dependencies, resources, and documentation, and communicate progress to executives. Coordinate Creative, IT, marketing, campaign, development, agencies, and external suppliers to launch website updates, digital solutions, and campaigns. Improve processes, establish best practices, define website requirements, and guide development through deployment and continuous improvement.

Supports mid-market sales by translating Samsara’s IoT, cloud, hardware, and software solutions into customer outcomes. Responsibilities include technical discovery, product demonstrations, value assessments, proof-of-concept implementations, installation guidance, deployment planning, API scripting, customer consulting, integration support, and relaying customer feedback to product teams. The remote role covers the U.S. West region and requires travel up to 50% of the time.

The Account Executive will drive sales for mid-market customers, handling full-cycle sales, including negotiations, stakeholder management, and trials.

The Staff Machine Learning Engineer will lead AI product initiatives, optimize ML models for Edge devices, and work with petabyte-scale data, collaborating across teams to enhance customer operations.