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Were looking for a Security Researcher to join our Research team and drive cybersecurity research at the intersection of Product Security and AI. You'll investigate security risks in modern software development, including AI-assisted and agentic workflows, and translate research into product capabilities, customer guidance, and industry insights.

Youll be part of a small, elite founding engineering team solving real-world security problems that sit at the intersection of network security, cloud infrastructure, and large-scale data systems.
This is a hands-on role where youll design and build core parts of the product - from network-aware security logic and attack-path modeling, to high-performance pipelines that process massive volumes of security and infrastructure data.
If youre excited about deep security challenges, love building real systems end-to-end, and want massive impact in an early-stage team - wed love to meet you.

We are seeking a security researcher, who enjoys unraveling the mysteries and unique patterns of corporate computing environments and attackers techniques in our enormous scale of signals and security mechanisms.

The job includes performing both low level and high-level research of attackers techniques, security mechanisms and controls, and data analysis over various types of telemetries.

Responsibilities include:
Conduct in-depth analysis and research security controls, attackers techniques and anomalous patterns.
Explore massive amounts of data to come up with new security posture insights.
Build and evaluate AI-for-Research-Productivity and AI-in-Production agentic workflows.
Work together with the different engineering teams to develop the code to support the research findings.
Collaborate with multiple product teams to design cutting-edge sensors, implement discovery & detection logics and validate their effectiveness using a data-driven approach.
Collaborate with product, engineering and research teams across the Microsoft threat protection suite to come up and implement innovative ideas into the product.

we are building an AI-powered reverse engineering agent. As a Security Researcher, youll help shape how the system understands real-world binaries, by reversing complex targets, finding where automation breaks, and turning that insight into product capabilities.
This is a hands-on research role with direct product impact: your work will influence accuracy, explainability, and trust in the results we deliver to security teams.
What Youll Do
Reverse engineer complex binaries and large real-world codebases
Analyze malware samples and vulnerability-relevant behavior (as needed)
Identify edge cases and failure modes in decompilers and reversing workflows
Work closely with engineering to translate findings into robust product features
Validate accuracy and explainability of analysis outputs across diverse targets.

Join our company, a stealth-mode cybersecurity startup building the next generation of Vulnerability Management and Exposure Management.
Were looking for a Senior AI Researcher (Cyber Security) to join our founding team and build AI-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
In this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade AI systems that turn messy, complex information into clear, actionable insights.
Own the end-to-end AI lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. Validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
If you love combining real security problems with applied data science and AI driven problem solving, and want to have real impact in a rapidly evolving product - wed love to meet you.

We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.

As a CyOps Analyst, you will be investigating security alerts from the  platform in order to detect threats and conduct live incident response engagements, investigating and analyzing programs and software using analysis programs to identify threats and classify malware based on previous threats and commonalities, investigating and issuing threat intelligence and malware analysis report. The SOC works closely with the Research team to perform tests and uncover new attack vectors to enhance, develop, and configure threat hunting tools. Additional responsibilities include:
* Identifying unknown threats for our global clients through advanced threat hunting services to complement the standard Security Operations Center services.
* Performing analysis and forensics on security threats, malware and attacks in the wild, using industry standard platforms and tools.

About Us:
We are a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 247 security experts. With a Partner First mindset, we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

Were looking for an Application Security Engineer with a passion for AppSec to join our growing team.
Responsibilities:
‍‍Build and maintain an advanced security research lab to test, evaluate, and supercharge detection tools.
Analyze tools across multiple domains: SAST, SCA, DAST, Secret Detection, IaC Scanning, Container Scanning, CSPM, and more.
Identify detection gaps and develop techniques and rules to close them.
Leverage Python and AI practices to automate research and drive smarter detection strategies.
Monitor emerging threats, CVEs, and high-profile incidents - and develop relevant detection content and platform enhancements.
Collaborate closely with engineering, product, and marketing.

we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
Who You Are:
A strong individual contributor who takes pride in delivering high-quality security outcomes while collaborating closely with peers and stakeholders. You are able to build trust, provide thoughtful input, and continuously grow your technical and operational expertise.
You are passionate about exploring new technology and using it to make an actionable impact to the future of fintech. You can balance the needs of the business and the team's goals with strong value for code quality and adherence to implementing best practices.
A highly skilled AWS Security Engineer with additional FinOps expertise to ensure the security and compliance of our cloud infrastructure. You are able to implement and maintain robust security controls across AWS environment. You are passionate about best practices, automation for security monitoring, and collaborating with other teams.