Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff AI Detection Engineer, you will be tasked with end-to-end development of AI-powered detections using EDR data. A key part of the job is researching new attack vectors and effective detection methods. You will be responsible for developing, owning, and maintaining your created detections.

Required Information Security Engineer
The world of digital assets is accelerating in speed, scale, and complexity, opening new ways to leverage blockchain. Our platform and network provide the simplest and most secure way for companies to work with digital assets, and it is trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more.
Security isnt an afterthought; its the foundation of everything we do.
Making Security Real:
As a Senior Information Security Engineer, youll be on the front lines of protecting the systems, users, and data at scale. This role is about turning strategy, architecture, and intent into enforced controls, effective detections, and resilient operations. Youll work hands-on with the tools, signals, and incidents that define our real security posture.
If you believe security should be practical, measurable, and embedded into daily operations-and not just documented-we want you on the team.
What the Role Looks Like in Practice:
You will be the technical anchor of our internal security posture:
Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation.
The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection.
Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques.
Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective.

we are looking for a Lead Detection Engineer .This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Detection coverage strategy across endpoint, identity, cloud, and infrastructure - how it's measured, prioritized, and continuously improved.
Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic.
Architecture connecting detections to enrichment, triage, and automated response workflows.
Technical standards for how detections are designed, tested, documented, deployed, and retired.
Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops.
Design and build high-fidelity behavioral detections across SIEM and EDR platforms.
Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections.
Validate detections through threat simulations and continuous detection testing.
Partner with SOC analysts to close the feedback loop between detections and real investigations.
Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership.
Make architectural decisions that scale as the team and organization grow.

We're looking for a passionate Lead or Senior Offensive Security Engineer for our growing Offensive Security Automation team. This hands-on offensive security position requires a cyber security professional whose primary focus is to perform security assessments and vulnerability research using internal AI tools using frontier models, with a focus of designing and developing the AI automation and autonomous harnesses together with the team.
This is a role for someone who can perform offensive security testing at scale, combining deep security expertise with the judgment to direct and improve AI-driven tooling.

Key Responsibilities:

Offensive Security & Vulnerability Research (primary)

Perform security assessments and vulnerability research across web applications, APIs, and cloud/hybrid infrastructure, using internal AI tools and frontier models to scale coverage and depth that you will develop.

Make sure our internal solution can perform exploitation, vulnerability chaining, business logic and authorization abuse, privilege escalation, and lateral movement, beyond what automated tooling alone can find.

Run end-to-end engagements: scoping, execution, reporting, and remediation guidance.

Discover systemic/architectural weaknesses, not just isolated bugs, and drive secure-by-default fixes.

Partner with engineering, security architecture, and detection & response teams to close root causes and validate control effectiveness.

Produce high-quality technical reports with clear exploitation paths and prioritized remediation.


AI Automation & Autonomous Harness Design (secondary)

Develop the automation and autonomous harnesses that direct frontier models to perform offensive security testing continuously and at scale.

Design agent-based workflows that reason over large data, plan for risk signals, business logic and execute multi-step offensive testing that will adapt based on results, recon, hypothesis ranking, chaining of bugs exploitation, AI-Driven assessments, and reporting.

Establish human-in-the-loop checkpoints so automation scales offensive coverage without sacrificing safety or precision.

Translate your own tradecraft into reusable, explainable automation that the team can run and build on.

As a SecOps Lead , you will own the core of the security operations function: detection, response, automation, and the processes that connect them. You will guide incident response from first alert through post-mortem, keeping efforts structured and stakeholders informed along the way. You will shape how the team detects, triages, and resolves, and communicate that work clearly to leadership, engineering, and customers.

This is a hands-on role with broad ownership. You should be comfortable writing a detection rule, coordinating a live incident, and walking stakeholders through a post-incident review.

Key Responsibilities

Lead Incident Response: Own the end-to-end incident response lifecycle across infrastructure and enterprise browser platform, driving investigations, coordinating responders, and ensuring timely resolution and post-incident improvements.
Own the IR Framework: Build, maintain, and continuously improve incident response processes, including runbooks, severity definitions, escalation paths, on-call procedures, and communication standards.
Drive Detection Engineering: Design, implement, and continuously improve high-fidelity detections across SIEM, EDR, cloud, and endpoint security platforms, closing visibility gaps and strengthening detection coverage.
Automate Security Operations: Build automation and AI-driven workflows that streamline triage, investigation, enrichment, and response, reducing manual effort and improving operational efficiency.
Threat Hunting & Research: Proactively hunt for threats, leverage threat intelligence, and identify emerging attack techniques relevant to modern enterprise environments.
Own Security Operations: Serve as the technical owner for Security Operations within Product Security, driving strategy, setting best practices, and continuously improving detection and response capabilities.
Partner Across Engineering: Collaborate closely with Engineering, IT, Infrastructure, and Compliance teams to embed security into new services, infrastructure changes, FedRAMP initiatives, and customer-facing security requirements.
Communicate During Incidents: Provide clear, timely communication throughout incident response, keeping technical teams, leadership, and stakeholders aligned on impact, progress, risks, and next steps.

Were looking for a Staff Cyber Defense Engineer to help shape the strategy, architecture, and cross-team execution model of our companys Cyber Defense organization.
As a staff-level individual contributor, you will work across Corporate Security Engineering, Detection and Response Engineering, and Offensive Security to ensure our companys defensive capabilities operate as one coherent system.
This role is a strong fit for someone who combines deep technical judgment with systems thinking, cross-functional influence, and the ability to turn complex security challenges into clear architectural direction, aligned programs, and measurable risk reduction.
Youll own:
The end-to-end defensive architecture across our companys Cyber Defense organization.
Cross-team architecture decisions that span identity, endpoint, SaaS, telemetry, response readiness, validation, and risk reduction.
Identification of control gaps, overlaps, weak handoffs, and systemic friction across teams.
Multi-team security initiatives that require sustained coordination, sequencing, and executive visibility.
Group-level prioritization support, including helping leadership evaluate what should be done first, next, or not at all.
Executive-ready security narratives that translate technical work into business risk, progress, tradeoffs, and outcomes.
Group-wide KPI and measurement frameworks that reflect real security impact rather than raw activity.
Improvements to the operating model, including ownership boundaries, team interfaces, escalation paths, and dependency management.
Special strategic initiatives for the Head of Cyber Defense that require high trust, technical depth, and organizational leverage.
Youll solve:
Connecting team-specific work into a coherent defensive system rather than a collection of isolated programs.
Identifying where architecture, ownership, or sequencing problems slow down execution across Cyber Defense.
Ensuring preventive controls, detections, response actions, and validation efforts reinforce one another.
Turning offensive findings and operational lessons into durable architectural improvements across the group.
Helping the organization make better decisions about tradeoffs, dependencies, and long-term security direction.
Translating complex technical initiatives into clear recommendations for leaders and stakeholders.
Reducing friction in major cross-team programs by aligning goals, owners, milestones, and decision points.
Improving how Cyber Defense scales as the group grows, without creating shadow ownership or organizational ambiguity.
Youll impact:
Making our companys Cyber Defense organization more integrated, effective, and strategically aligned.
Increasing execution speed across complex initiatives that involve multiple security teams and business partners.
Helping leadership make clearer decisions with better visibility into risk, progress, and priorities.
Creating architectural consistency across preventive, detective, and validation capabilities.
Strengthening our companys ability to reduce risk in measurable ways while enabling the business to move quickly.
Helping define what a modern, AI-native Cyber Defense organization should look like at scale.

We are looking for a skilled Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role - you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.

You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network - a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.

We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows - and who want to be a driving voice in how we apply those technologies.

Your responsibilities will include:

Automation development

Design and develop automation workflows for incident response and SOC operations
Identify and eliminate manual processes through scalable automation
Build reusable components and maintainable automation patterns
Engineering & integration

Develop integrations using REST APIs, webhooks, and event-driven architectures
Write high-quality, maintainable Python for automation and orchestration
Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout

Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
Design the automation architecture and integration strategy for the team
Build automation capabilities in a greenfield environment - your decisions will shape the foundation
SOC collaboration

Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation

Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production

As a Security Operations Engineer , you will be a core member of the SecOps team, owning incident detection, triage, and response across infrastructure and enterprise browser platform. You will work closely with the SecOps Lead to mature our IR capabilities, build the automation and tooling that power our operational workflows, and help keep and its customers ahead of real-world threats.

This is a hands-on, build-and-operate role - ideal for someone who is equally comfortable writing a detection rule, investigating a live incident, and shipping a Torq workflow before end of day.

Key Responsibilities

Incident Response: Lead and participate in the full incident lifecycle - detection, triage, investigation, containment, and post-mortem. Own runbooks and ensure they reflect current threat landscape and tooling.
Detection Engineering: Develop, tune, and maintain detection rules across SIEM, EDR, and security audits. Minimize false positives; maximize signal value.
Security Automation: Build and improve automated response workflows using platforms like Torq; reduce manual toil on alert triage, enrichment, and escalation paths.
Threat Monitoring & Hunting: Continuously monitor the environment for anomalies and indicators of compromise; proactively hunt for threats aligned to our threat model.
Cloud Security Operations: Investigate and triage findings from cloud-native security tooling (Wiz, AWS CloudTrail); collaborate with engineering teams on remediation of infrastructure-level issues.
Tooling & Integrations: Contribute to the ongoing development of the SecOps toolchain - integrating alert sources, building dashboards, and improving the Jira-based alert center.IR Documentation: Maintain incident.io flows, response playbooks, and post-incident reports; contribute to the team's runbook hub.

we are looking for a Senior Security Engineer.
Senior Security Engineer to act as a hands-on technical leader inside our security org, part builder, part architect, part trusted partner to R&D. You'll sit in design reviews, push back (constructively) on architecture choices, prototype the controls we're missing, and help R&D ship faster and safer.
This role suits an engineer who thinks in systems, codes when needed, and is energized by securing modern AI-driven, multi-cloud environments.
What you'll do:
Act as a security architect for new initiatives. Join design and solution-concept meetings with R&D before code is written and help shape architectures that are secure by default. Produce threat models, reference designs, and decision docs that engineers actually use.
Partner with R&D as a peer, not a gatekeeper. Embed with product and engineering teams. Translate security requirements into engineering language, and engineering trade-offs into risk language for leadership.
Own security across our multi-cloud footprint (AWS, GCP, Azure). Design and implement controls for identity, network, workload, and data protection that work consistently across environments.
Drive AI security. Build our defenses against threats specific to LLM and ML systems: prompt injection, model abuse, training-data integrity, agentic-workflow risks, MCP/tool-use exposure, secrets in prompts, and supply-chain risk in the AI stack. Help define what "secure AI development" means for us in practice.
Lead data security initiatives. Classification, encryption, key management, DLP, access governance, and data-flow mapping.
Evaluate and implement new technologies. Run POCs and deploy new tooling end-to-end. We expect you to have strong opinions on the security stack and to evolve it as the threat landscape shifts.
Write code. Automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD.