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We are looking for a hands-on Security Research Team Lead to own and scale our Security Research domain.
This is a foundational role in a small, highly technical team, focused on deep security research, algorithmic thinking, and leveraging AI to turn complex data into accurate, actionable security insights.
This role is not about people management by default - it is about technical leadership, ownership, and building scalable research capabilities that directly impact product and customer security.
Responsibilities:
Own and lead the Security Research domain through hands-on technical work.
Research security risks in SaaS and business applications, including permissions, identities, and access models.
Design and apply algorithmic approaches to analyze complex data structures and security risk surfaces.
Leverage AI-based techniques to work with large-scale data, improve accuracy, and automate research workflows.
Detect security flaws, misconfigurations, and systemic risks in SaaS environments.
Lead and support complex security investigations and customer-facing incident research.
Work closely with Product and Engineering to translate research findings into scalable product capabilities.
Technically mentor and support a small and growing research team.
Define research priorities and help shape how the team scales over time.

We are seeking a highly motivated and technically proficient Senior Penetration Tester to join our security research division. This role is dedicated to performing advanced offensive security assessments and developing evaluation mechanisms. You need to be independent, attentive to details, organized, eager to learn new things, and eager to research and solve complex problems. What youll do:
* Lead and execute comprehensive, technically rigorous penetration tests targeting complex web applications, modern API architectures, and enterprise systems.
* Engage in sophisticated Red Team projects, development of elaborate automations, and evaluation strategies.
* Contribute substantively to the design, development, and maintenance of proprietary internal security tools and automation frameworks to enhance the efficiency of offensive operations.
 
About us:
We are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

PlaxidityX is looking for a brilliant Security Researcher to join our elite team. In this role, you will combine offensive research with product innovation. You will conduct in-depth research and penetration testing on Automotive ECUs , uncovering vulnerabilities at both the hardware and software levels. Additionally, you will act as the 'Red Team' for our vehicle protection systems , simulating sophisticated attacks to ensure our detection capabilities stay ahead of global threats.
?What You’ll Do: ECU & Low-Level Research: Conduct deep-dive security research into Automotive Electronic Control Units (ECUs). Automotive Offensive Research: Analyze automotive protocols and architectures to identify, develop, and implement end-to-end attack vectors. Red Teaming: Serve as the internal adversary for our vehicle protection products. You will execute attacks to validate detection efficacy and provide the offensive 'ground truth' needed to improve our security logic. Collaborate with Data Scientists: Work closely with our Data Science teams to fine-tune AI-based detection features, helping to translate complex exploit behaviors into actionable data features.

Advantages:
Data Science & AI: Experience working with data teams, understanding of feature engineering, or experience fine-tuning AI models based on security domain expertise. OS Internals: High level of expertise in Linux / QNX / Android internals (both user and kernel space). Product Security: Experience building or testing Intrusion Detection/Prevention Systems (IDS/IPS) or EDR/XDR platforms. Automotive Knowledge: Understanding of automotive-specific protocols (CAN, Automotive Ethernet, UDS, etc.) and the ability to implement functional attacks against them.