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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 Windows Kernel Engineer - Windows Endpoint, you will be tasked with working on our Windows EDR product and handle a wide range of tasks. You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems.
What Will You Do?
Primary responsibilities include:
Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents. Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

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.
What Will You Do?
Primary responsibilities include:
Be part of a team of Cyber Security Researchers and Data Scientists.
Research, build and own complex detection capabilities and pipelines
Focus on applying the latest machine learning and deep learning advancements to detect and defeat threats.
Train models using the companys vast real threat data.
Write high quality production code, own and maintain your detections.
Develop data and AI features to support the entire detection organization.
Contribute to our companys industry-leading cybersecurity platform.
As a Staff-level engineer, inspire and provide technical leadership to others.

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 SW Engineer on the Customer Lifecycle Management team, you will be tasked with joining our dedicated platform team committed to providing essential services that support the success of other developer teams. Your primary customers will be fellow company developers who rely on our department's key services, including identity and user management, metering, and license management; in this role, you'll play a crucial role in ensuring the smooth functioning of these critical components and empower our users to achieve their goals.
We are seeking a seasoned colleague with the ability to lead epics, features, and inspire others, while participating extensively in the architecture of the new solutions we're building to elevate the entire journey of our customers-creating new features and scalable systems, rebuilding existing ones from scratch, and providing comprehensive, robust APIs that help both S1 and our customers/partners manage customer-centric interactions within our flagship SaaS platform.
Join our international team of 9 (with colleagues across Brno, Prague, Slovakia, and Israel) and become an integral part of a friendly, collaborative, pragmatic, professional, and diverse group of individuals who are ready to tackle major SW engineering challenges!
Your stack: Java (v21), Spring framework family (Boot, Web, Web-Flux, Cloud), Gradle, Jooq; Kafka, PostgreSQL, ClickHouse, Redis, Docker, Helm, Kubernetes, Terraform, AWS/GCP across multiple cloudregions, GitHub Actions, ArgoCD, Prometheus, Grafana. To enable you in your work, we provide company access Claude Code
What will you do?
Primary responsibilities include:
Collaborate across teams - to shape and define system requirements, ensuring alignment with overall business goals.
Design and drive projects - lead execution of high-priority, high-visibility platform projects, ensuring timely delivery and exceptional quality.
Own feature development - take full ownership of the feature development lifecycle, from refining requirements through to successful production deployment, ensuring seamless integration and functionality.
Build and maintain secure and scalable backend - infrastructure that serves as the backbone for other development teams, supporting their needs and enhancing overall system performance.
Ensure efficiency and performance - develop solutions that guarantee reliability, scalability, and optimal performance, leveraging best practices and modern technologies.
Conduct code reviews - provide constructive feedback, fostering a culture of continuous improvement and high-quality code standards.
Troubleshoot complex issues - quickly identify, diagnose, and resolve, minimize downtime and ensuring smooth operations; be part of rotating on-call duty to respond/troubleshoot to the outage incidents.

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 Data Scientist, you'll play a key role in our cyber defense efforts developing, training, and deploying analytical models to identify and mitigate threats and protect our customers. Working alongside detection engineers, threat hunters, security researchers, and data engineers, your work will translate directly into real-world solutions that strengthen our security posture. If you're passionate about data science and excited by high-impact cybersecurity challenges, this role is for you.
What Will You Do?
Primary responsibilities include:
Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base.
You will join a team of leading industry experts, gaining access to unique, proprietary data - an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities.
At our company, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection!

AI Transformation - Senior Manager Reports To: COO Dotted line to: CEO
Position Summary We are seeking an experienced and business-oriented senior manager of AI Transformation to lead the adoption and implementation of Artificial Intelligence (AI) solutions across the company. This role will identify, prioritize, and deliver AI initiatives that improve productivity, operational efficiency, decision-making, Customer Experience, and business performance.
Key Responsibilities Develop and maintain the company's AI transformation strategy and roadmap. Identify and prioritize AI opportunities across non-R&D functions. Lead a portfolio of AI implementation projects. Evaluate AI platforms, tools, and vendors. Drive organizational change, training, and adoption. Define KPIs and measure business impact and ROI. A.I Budget accountability - CAPEX and OPEX
Reports to:
COO

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 DevSecOps Engineer- Prompt, you will be tasked with hands-on DevSecOps engineering responsibilities, including managing Kubernetes environments, architecting and securing AWS cloud infrastructure, building and maintaining CI/CD pipelines, and enforcing container and cloud security best practices.
What Will You Do?
Primary responsibilities include:
Own the infrastructure security domain across cloud and Kubernetes environments
Build and maintain secure CI/CD pipelines and cloud infrastructure
Manage and remediate vulnerabilities in container images, infrastructure, and application code
Implement and maintain security tooling (SAST, DAST, SCA, secret scanning)
Own compliance initiatives such as SOC2, HIPAA, CIS, NIST, ISO 27001, and FIPS-related requirements, including working with platforms like Scytale and supporting audits, evidence collection, and remediation processes
Handle penetration test remediation and security audit findings
Manage user access, IAM, RBAC, and security policies
Maintain and automate certificate management and secrets handling
Implement and manage WAF, DDoS protection, and network security controls
Improve Kubernetes platform security, monitoring, and automation.

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 Escalation Manager- Prompt Security, you will be tasked with leading and coordinating complex customer escalations, focusing on resolving complex issues and ensuring our customers receive timely, high-quality technical support as we scale our Generative AI security platform. We are seeking a highly collaborative, approachable, and customer-focused individual who will serve as the primary liaison between Technical Support, Product Management, Engineering, and Customer-facing teams, ensuring that high-impact issues are triaged quickly, prioritized correctly, and driven to resolution with clear and consistent communication.
What will you do?
The bulk of your time will be spent deflecting Jira tickets by providing solutions, KBs, and 1-on-1 training directly to the Support team. You will validate priority, review, and manage Jira tickets before engaging Development.
You will also perform trend analysis to identify top product defects and collaborate with the Documentation, Learning and Development (L&D), and Product Management teams to create and update knowledge. Code review may also be applicable, and suggestions for code improvements shared with engineering and Product Management.
For customer escalations, you will help engage the relevant stakeholders in internal and customer-facing conversations, and may lead those conversations from a technical perspective.
Key Responsibilities:
Develop key contacts and relationships with assigned product PM/Dev leadership.
Drive product supportability with PM/Development.
Share support knowledge through available channels (KB, training, videos etc.).
Trend analysis: Identify and track top impacting issues or product defects.
Manage communication and response to Backline Support (Jira).
Act as SME and be the focal point for assigned products.
Research the code to expedite the investigation.
Resolve Defects when possible.
Quality Assessment for Support Jira tickets.
Prioritize Jiras based on customer and support qualifications.
Work to eliminate duplication.
Deflect Jira tickets (Provide solution whenever possible).
Validate severity.
Maintain clarity and quality.
Prioritize and maintain escalations to Dev.
Create/maintain hot escalation board and review with relevant stakeholders.
Create/Maintain support Defects Kanban.
Communication - oversee response/information requests from Dev.

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 Product Manager, Value Realization, you will be tasked with being accountable for accelerating customer adoption and reducing time-to-value (TTV) across our product portfolio-driving measurable impact on Net Revenue Retention (NRR), expansion, and long-term customer outcomes. This leader partners closely with Product Management, UX, Documentation, Customer Success, Sales, RevOps, and Data/Analytics to institutionalize the strategy, processes, and instrumentation that ensure customers realize value quickly and consistently. This is a highly cross-functional leadership role, blending product strategy, customer outcomes, and operational rigor to create repeatable value realization motions at scale.
What Will You Do?
Primary responsibilities include:
Adoption strategy tied to Product OKRs
Partner with Product Management and Customer Success to prioritize and build adoption plans directly aligned to PM OKRs for key initiatives and product areas (e.g., flagship features/modules).
Define what adoption means per product area (activation milestones, key events, success criteria) and ensure teams execute against it.
Roll out adoption campaigns together with GTM partners (e.g., increasing usage, attaching add-ons)
Time-to-value and value realization outcomes
Establish and drive improvements to TTV through product changes, enablement, onboarding workflows, UX/docs improvements, and operational playbooks.
Identify bottlenecks in onboarding/implementation/configuration and prioritize fixes with the right stakeholders.
Partner with Customer Success and Product Management to exercise our NPI process and ensure capability uptake.
NRR and expansion levers
Translate NRR goals into concrete adoption/expansion priorities and initiatives at the product and feature level.
Partner with Pricing & Packaging leaders to identify and drive actions that improve uptake of add-ons and expansion paths.
Participate in NRR pilots to understand areas for improvement impacting our products.
Cross-functional value realization operating system
Build the artifacts and processes that consistently accelerate adoption (adoption playbooks, enablement kits, training, readiness checklists, release frameworks).
Institute standard internal reporting and operational rhythms (dashboards, weekly reviews, exec readouts).
Operationalize a company-wide product value realization framework: adoption → value → expansion.
Build and maintain dashboards that connect adoption signals to retention and revenue outcomes.
Partner with UX and Docs to prioritize customer experience and enablement improvements that reduce friction and accelerate value.
Collaborate with Product Analytics/Data to improve instrumentation, metering, and measurement quality.
Design in-product nudges/notifications and guided workflows to drive feature adoption.
Lead cross-functional programs and working groups; create clarity and accountability across stakeholders.
Influence roadmap and prioritization decisions through adoption insights and TTV bottleneck analysis.
Foster relationships with key customers and stakeholders at a strategic level to gain insights into their unique challenges and business goals. Leverage these insights to craft compelling business value cases for our delta offerings.

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 Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will be tasked with designing and implementing low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Primary responsibilities include:
Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

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 Windows Detection Engineering Manager you will be tasked with helping shape the future of endpoint security through a unified, converged platform that automatically prevents, detects, and responds to threats in real time. You will lead a team of engineers that create advanced Windows behavioral detections and in memory traps by combining deep understanding of the OS system, behavioral analysis, and innovative machine learning techniques to identify and stop sophisticated attacks before they cause harm.
You will join a growing team of passionate security experts and technical leaders who think differently, challenge assumptions, and constantly explore new ways to outsmart adversaries. In this role, you will lead a strategic team to advance windows detection forward through both research and engineering.
What Will You Do?
Primary responsibilities include:
You will manage a team of detection engineers and guide them through the research and development of detection rules and infrastructure.
You will be responsible for driving the detection of the newest malware and exploits based on our companys Endpoint Protection platform. Your role wont end with a hypothesis or a document - youll have an end-to-end responsibility for behavior-based detection capabilities, starting from leading any prior research, designing new methods to detect or prevent those, and the implementation of it in the product in the end (SW development in C++23 and scripting in Lua).
You will be leading the development and research of attack tools, PoCs, and the discovery of new ways to detect/prevent exploitation attacks (EoP, drive-by attacks, and more).
At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints, which are protected by our platform.
You will meet extraordinary challenges facing the newest attacks and tech obstacles, and overcome them. You will work with the very BEST in the industry in a flexible and independent environment. You will influence the design of a disruptive product that will shape the security industry of tomorrow.