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Salary: USD 157,675 - 238,500 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations dependent on physical operations to harness IoT data for actionable insights. The company serves agriculture, construction, field services, transportation, and manufacturing—industries representing over 40% of global GDP.
You will be the most AI-forward technologist on Samsara's Application Security team, operating at the intersection of security engineering and applied AI. This is a newly created, highly visible role reporting into a newly formed function with a clear path to shape Samsara's AI security strategy long-term.
In this role, you will:
- Deliver accurate, consistent security assessments of Samsara's software, code, and firmware, evaluating resilience against AI-driven and adversarial attacks, and implementing fixes.
- Create and translate general AI security findings into Samsara-specific fixes for the application security layer, adapting techniques from software to hardware and embedded firmware.
- Build and pressure-test novel AI-enabled security tooling and workflows, then drive adoption across the broader security organization.
- Partner cross-functionally with engineering, hardware, and leadership (including VP-level threat modeling sessions) as the go-to expert on AI-related security risk.
- Help define and drive Samsara's medium- and long-term strategy for adopting AI safely and effectively within security operations.
- Use frontier AI/LLM tools (e.g., Anthropic's and OpenAI's cybersecurity-specific programs) hands-on for both offensive validation (red-teaming systems) and defensive tooling.
- Champion and embed Samsara's cultural principles as the company scales globally.
You will spend time red-teaming the cloud environment one day and validating firmware vulnerabilities on hardware the next, with the goal of securing applications against AI adversaries.
REQUIREMENTS:
- 8+ years of experience in application security, vulnerability management, threat modeling, offensive security, or closely related discipline, with demonstrated application fix impact and influence across a large part of an organization.
- Hands-on experience applying AI/LLM tools to real security workflows (not just as an end user)—e.g., building with APIs, agents, or automation to support security use cases.
- Experience conducting technical security assessments (offensive security or validation exercises) across both software and hardware/firmware environments.
- Experience creating solutions for secure code with engineers using languages such as GoLang.
- Experience developing AI and agentic solutions using Github and developing within AWS cloud.
IDEAL CANDIDATE ALSO HAS:
- Experience with AI-specific attack techniques (prompt injection, jailbreaks, model/agent abuse) for vulnerability management and application security.
- Experience building or validating security controls for agentic AI, RAG systems, or LLM-integrated platforms.
- Track record of driving org-wide security strategy or presenting technical findings to senior/executive stakeholders.
- Relevant industry certifications (OSCP, GIAC, CISSP) or AWS certifications.
