Application Security Engineer

Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations dependent on physical operations to use Internet of Things (IoT) data to develop actionable insights and improve operations. The company helps improve the safety, efficiency and sustainability of physical operations across agriculture, construction, field services, transportation, and manufacturing. Its products include Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.

The Application Security team protects cloud services, internal systems, and firmware running on IoT hardware.

• Lead the strategy, operation, and continuous improvement of the vulnerability management program and other core application security programs.
• Drive down mean time to remediate (MTTR) across the vulnerability backlog as SLAs tighten.
• Build and champion automation and tooling to scale vulnerability detection and response across cloud, firmware/IoT, and corporate systems.
• Set technical and architectural direction for the program and translate leadership priorities into an execution plan.
• Drive remediation by building trust with engineering teams and providing clear, actionable guidance; partner with technical program management on reporting.
• Mentor engineers on secure design and remediation practices and serve as a technical voice for other teams.
• Communicate risk and remediation tradeoffs to engineering leadership.
• Participate in security incident investigations involving high-profile vulnerabilities and assess potential impact on Samsara's infrastructure.
• Be regularly on call to support critical vulnerability response.
• Champion and model Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

• 10+ years of relevant experience as a cloud engineer or security engineer, including hands-on vulnerability management across a broad, multi-product enterprise environment.
• Proficiency in Go, Python, and JavaScript.
• Ability to independently set technical and architectural direction for a security program and drive remediation across a broad, multi-surface environment without direct authority over the teams doing the fixing.
• Significant experience with modern vulnerability management tooling such as Wiz and Semgrep, and deep familiarity with vulnerability scoring frameworks such as CVSS and EPSS.
• Strong AWS cloud services background.
• Deep understanding of Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).
• Hands-on use of AI/LLM tooling in security workflows, including triage, detection logic, and remediation drafting; ability to discuss how AI is changing the threat landscape and available tooling.
• Ideal candidates also have experience with C/C++ for firmware and embedded systems; at a cloud-native, AI-forward company building agentic or AI-driven products; with security automation platforms such as Tines and serverless frameworks such as AWS Lambda; integrating vulnerability management into modern CI/CD pipelines with a shift-left mentality; across SaaS, firmware, and corporate IT security programs; managing vulnerabilities in a FedRAMP-certified environment; or building, extending, or wiring up AI copilots/agents for security workflows.

• This is a remote position open to candidates residing in the US. The role is also eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Annual base salary range: $165,200–$295,000 USD. The applicable range depends on primary work location and may be narrower than the displayed range. Base pay may vary based on city of residence, job-related knowledge, skills, and experience.
• Compensation includes base salary, performance-based bonus/variable pay, and equity for eligible roles.
• Benefits include a professional development stipend, comprehensive health and parental leave plans, and a flexible, employee-led remote model. Offices are open to employees who prefer in-person work; remote work is supported where it aligns with operational requirements. Some positions may require proximity to an office or a specified geographic area.