About the company
Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations relying on physical operations to use Internet of Things (IoT) data to develop actionable insights and improve operations. Its Application Security team protects cloud services, internal systems, and firmware running on IoT hardware.
Responsibilities
- Lead the strategy, operation, and continuous improvement of the vulnerability management program and other core application security programs.
- Reduce 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 through collaboration with engineering teams, providing clear, actionable guidance and partnering with technical program management on reporting.
- Mentor engineers on secure design and remediation practices.
- 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.
- Regularly be on call to support critical vulnerability response.
- Champion Samsara's cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.
Requirements
- 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 speak to how AI is changing the threat landscape and security tooling.
- Preferred: C/C++ experience relevant to firmware and embedded systems; background at a cloud-native, AI-forward company building agentic or AI-driven products; security automation platforms such as Tines; serverless frameworks such as AWS Lambda; vulnerability management integration into modern CI/CD pipelines with a shift-left mentality; experience spanning SaaS, firmware, and corporate IT security programs; FedRAMP vulnerability management experience; and experience building, extending, or wiring up AI copilots/agents for security workflows.
Conditions
- Remote position open to candidates residing in the US.
- Annual base salary range: $165,200–$295,000 USD. Pay varies based on city of residence, job-related knowledge, skills, and experience. The role is also eligible for an initial RSU grant with no vesting cliff and ongoing performance-based refresh opportunities, subject to plan terms and conditions.
- Total compensation may include base salary, performance-based bonus/variable pay, and equity for eligible roles. Benefits include a professional development stipend, health plans, and parental leave plans.
- Flexible, employee-led remote model; offices are also open to employees who prefer in-person work. Remote, on-site, or hybrid arrangements depend on operational requirements and the role's stated location requirements.
- Employment offers are contingent on the ability to secure and maintain the legal right to work in the company and specified work location, if applicable.