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Were looking for a Senior Product Manager to help us build on that momentum, someone with the drive to lead products that matter, the instincts to cut through the noise and focus on what moves the needle, and the leadership to drive execution across a global, multi-disciplinary team.

What You Will Be Doing
Own and drive the product roadmap for a core product area - from ideation through delivery.
Collaborate across engineering, design, operations, sales, and go-to-market to identify, shape, and deliver high-impact product initiatives.
Build a deep understanding of users and the market, and turn that understanding into a product people actually use.
Drive end-to-end execution - build trust, remove blockers, and hold the bar on quality and timelines.
Contribute to the overall product strategy by bringing customer insight, data, and sharp cost-benefit judgment to strategic discussions.

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 Senior Staff Software Engineer on the Agent Platform Detection team, you will be the technical visionary responsible for defining and evolving the architecture of our detection, triage, and response platform. You will lead the design and execution of backend systems and SaaS services that power alert propagation, alert lifecycle management, and response capabilities at extraordinary scale. Your technical leadership will bridge the gap between long-term architectural strategy and high-velocity product delivery, influencing how detection and response workflows are built and operated across platform.

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 Senior Backend Engineer - Windows Endpoint, you will be tasked with helping to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats -all in real time.
We are looking for a Python + Java Backend Engineer to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform.
Youll contribute across the stack's backend services, building scalable, high-performance services and APIs, while actively using AI-powered development tools to improve productivity and code quality.
The team follows Agile best practices, values clean architecture, ownership, and continuous improvement.

We are seeking a Fullstack Engineer to join the Agentic AI team

In this role, you'll take a major part by lead, design and implement E2E features in a project focused on detecting and mitigating AI based cyber-attacks on applications using advanced analytics and emerging AI technologies. We're looking for a highly self-motivated individual who thrives on challenges, works both independently and in unique small teams.

We are looking for a visionary Product Manager to own one of the most strategic areas of the SafeBreach platform - our Connectors ecosystem and AI Infrastructure.
This role sits at the intersection of cybersecurity, integrations, product strategy, and AI-powered workflows. You'll drive the evolution of the platform that connects SafeBreach with leading security technologies including SIEM, SOAR, PAM, Vulnerability Management, EASM, Asset Management, Jira, ServiceNow, and many more.
You'll also play a key role in shaping how our AI-powered Helm platform interacts with customers' environments through intelligent agent workflows, helping some of the world's largest enterprises strengthen their cybersecurity posture.
The Impact You Will Have:
Own and drive the roadmap for the SafeBreach Connectors ecosystem.
Define product strategy and KPIs for connector performance, adoption, and customer value.
Lead the development of integrations across SIEM, SOAR, PAM, Vulnerability Management, EASM, Asset Management, ticketing platforms, and more.
Drive AI-powered product capabilities by designing workflows for Helm's agent-based platform.
Translate customer needs and technical requirements into scalable prodct solutions.
Collaborate closely with Engineering, Customer Success, Sales, Marketing, and Design throughout the product lifecycle.
Build and maintain relationships with strategic technology partners and security vendors.
Lead customer discovery sessions, beta programs, and design parter initiatives.
Enable internal teams through product training, documentation, and go-to-market materials.

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 Senior Back-End Engineer, you will be tasked with building backend infrastructure for a new AISPM product, focused on monitoring AI assets, assessing risks, and delivering actionable insights. You will work in a fast-paced, innovative environment that requires agility, adaptability, and continuous iteration. Your work will also include enforcing security policies and ensuring safe, compliant AI deployment while contributing to the future of cybersecurity.

Our Networking System Product Engineering group is looking for an excellent Software Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. You will lead the development of our products and raise the bar of the software development quality in the group. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

What youll be doing: 

Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage.

Exposed to various aspects of design, DFT, and test of our next-generation network products.

Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems.

Utilize test suites to find, debug and resolve problems with production process.

Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment.

Supporting and fixing bugs of existing code. Supporting production lines for: deployments, patches, maintenance.

Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures.

For our Cyber Security solutions and attack mitigation business, we invite you to join the DP QA department responsible for high‑end enterprise security solutions. Our cutting‑edge security platforms simplify operations while ensuring resilience, efficiency, and SLA adherence.

In this role, you will take an active part in mastering our Next‑Generation Cyber Security products, with a strong emphasis on automation, quality engineering, and the adoption of AI‑driven testing methodologies.

You will work in an Agile Scrum environment within a dynamic, fast‑growing, and highly innovative team.

What will you do?
Planning, design, development, reporting, and analysis of manual and automation tests.
End‑to‑end testing of various DP features and components.
Building and maintaining automation frameworks for complex networking and security environments.
Utilizing AI‑powered tools to improve test coverage, defect detection, and root‑cause analysis.
Developing test insights using AI/ML models for anomaly detection and optimization of regression cycles.
Collaborating with development, QA, and data teams to integrate AI‑assisted automation into CI/CD pipelines.
Participating in Agile processes, contributing to test strategy and continuous quality improvement.

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 Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of features from ideation to production within the Windows Endpoint Ecosystem (our flagship productline, recognized 6x in-a-row Gartner MQ Leader). You should be a leader who can explore, design, recommend, and drive innovative ideas from scratch, ensuring architectural excellence and a strong engineering culture.

In this role, you'll take a major part by lead, design and implement SaaS integrations and features to a complex backend microservice system a in a project focused on detecting and mitigating AI based cyber-attacks on applications using advanced analytics and emerging AI technologies. We're looking for a highly self-motivated individual who thrives on challenges, works both independently and in unique small teams.

Are you passionate about systems programming at the intersection of hardware and software? Do you want your code to directly accelerate the world's largest AI training and inference workloads? The Elastic Fabric Adapter (EFA) Drivers team is looking for Software Development Engineers to design and implement the kernel drivers and userspace libraries that power high-performance networking for AWS's AI/ML and HPC infrastructure.

EFA is the custom network interface that enables thousands of GPUs and accelerators to communicate at near-wire-speed bandwidth and low latency, making it a critical enabler of both foundation model training and real-time inference serving at unprecedented scale. When customers train the next generation of large language models or serve billions of inference requests with tight latency SLAs on our EC2 P5, P6, or Trn instances, it's our driver stack that moves the data.

Key job responsibilities
- Design, develop, and optimize Linux kernel drivers (RDMA/EFA) and userspace provider libraries (rdma-core) that ship to millions of EC2 instances.
- Work directly with custom hardware - collaborate with chip designers to bring new silicon capabilities to life in software.
- Contribute to the upstream Linux kernel RDMA subsystem and rdma-core open-source project.
- Architect solutions for next-generation networking features: GPU-direct RDMA, adaptive routing, collective offloads, and multi-path transport.
- Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance.
- Own the full lifecycle: from initial hardware bring-up and feature enablement through testing, deployment, and production troubleshooting across the global AWS fleet.

We are looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

The Global Field Marketing team brings together demand generation, customer marketing, partner marketing, digital marketing, marketing operations, content, and regional field execution into one integrated growth engine.

The EMEA & LATAM Manager, Field Marketing will be a part of the EMEA & LATAM Marketing team.

This role is responsible for driving pipeline growth, strengthening customer and partner engagement, and aligning closely with regional sales leadership and global marketing teams.

The ideal candidate is a modern B2B technology marketer - strategic thinker, highly analytical, AI-savvy, operationally strong, and an exceptional communicator with the ability to influence across all organizational levels.

The position is remote, Europe based.

Responsibilities :
Partner closely with regional sales leadership and cross-functional stakeholders to define GTM priorities, identify growth opportunities, and drive measurable business outcomes.
Build and execute integrated multi-channel marketing programs including executive events, customer engagement initiatives, digital campaigns, partner marketing, webinars, ABM activities, and pipeline acceleration programs.
Drive strong alignment between regional execution and global marketing initiatives, ensuring consistency in messaging, positioning, and campaign strategy.
Own regional marketing performance measurement and reporting, including pipeline contribution, ROI analysis, funnel performance, and executive-level reporting, while enforcing clear marketing-to-revenue attribution standards that ensure direct line-of-sight from every program and investment to pipeline and closed business.
Lead regional adoption around practical implementation of AI-driven marketing processes, tools, and workflows to improve productivity, scalability, personalization, and campaign effectiveness.
Collaborate closely with Marketing Operations and Sales Operations to ensure accurate lead management, attribution, and reporting.
Serve as a strategic advisor and trusted partner to regional sales leadership and executive stakeholders.
Manage regional budgets while continuously optimizing investments for maximum business impact and efficiency.
Lead large-scale customer and partner events end-to-end, including strategy, planning, execution, experience design, and measurement.
Foster a culture of innovation, accountability, collaboration, and operational excellence across the regional marketing organization.

we are looking for a Lab Manager.
our R&D org runs on lab environments and this role owns them. As our Lab Manager, you'll work shoulder-to-shoulder with Development, Product, QA, Automation, Research, and DevOps to design and deliver the topologies our product is built and tested on. You'll translate sprint requirements into functional lab environments, manage their lifecycle, and keep the whole operation running efficiently.
🚀 The Impact You Will Have:
Collect lab requirements from R&D stakeholders and deliver functional lab topologies according to sprint plans (agile scrum methodology)
Spin up compute and network resources in AWS and ESXi and configure them
Setup Active Directory domains, organizational units, group policies and adjust them to varying scenarios
Deploy workstation and server machines in a variety of OSs
Setup routing and access policies between the various hosts
Install and configure different EDRs (S1, MDE, Cortex, CrowdStrike, TrendMicro and more)
Deploy different types of applications like credentials managers (LastPass, 1Password etc)
Deploy firewalls and implement network segmentation controls between the different subnets in each lab
Adjust the lab environments to enable testing of new product features sprint by sprint
Manage the lifecycle of the provisioned lab environments and keep track of cost

We are looking for a Threat Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques.
He/she will build offensive breach scenarios, integrating the latest security knowledge into the SafeBreach platform of threats and 1-day exploits.