דרושים » אבטחת מידע וסייבר » Pentest Product Associate

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.

You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.

What You'll Do
Drive Groundbreaking Research

Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team

Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

we are looking for a Senior Security Engineer.
As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
Responsibilities:
Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.
Own vulnerability management as an engineering system - Prioritize vulnerabilities based on exploitability, product exposure, customer impact, clinical risk, and regulatory relevance. Drive remediation with engineering teams and reduce recurring issues through root-cause improvements.
Secure AI/ML-driven features and data pipelines - Partner with AI, data, and platform teams to identify risks related to training and inference data, model inputs and outputs, model misuse, data leakage, access to sensitive datasets, pipeline integrity, and production monitoring.
Improve software supply-chain security - Reduce risk across open-source dependencies, third-party components, third-party algorithms, container images, build systems, artifact repositories, release pipelines, and deployment processes.
Mentor and enable engineers - Help developers understand security risks, make secure design decisions, and take ownership of security in their code, services, and infrastructure.
Communicate risk clearly - Translate technical security findings into clear risk, impact, and trade-off language for engineering, product, leadership, quality, regulatory, and customer-facing stakeholders.