דרושים » תוכנה » Engineering Manager - Windows Endpoint

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 Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Windows Endpoint Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Windows Endpoint, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

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 Engineering Manager - Linux Cloud Workload Security, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Linux & Cloud Workload Security ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to lead a group of 10+ engineers and team leads on the Linux & Cloud Workload Security, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Linux OS architecture, kernel internals, and the Cloud Workload security landscape.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

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.

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 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 Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at our company. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.
What will you do?
Primary responsibilities include:
Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
Cost Accountability: Improve cost accountability and mindset across org
Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.

We're looking for a bright and passionate Senior Software Engineer to join our Endpoint Data Protection team. In this critical role, you will design, develop and maintain core components of our endpoint clients running on Windows and Mac, used by hundreds of thousands of users worldwide, across households and enterprise environments. You will help take our clients to the next level - building new low-level capabilities at the heart of how people move, share and protect their files, devices and network traffic. The scope is broad and the room to grow is real: ownership and technical leadership scale with you.
Responsibilities:
Developing core low-level components for our clients on Windows and Mac
Researching new technologies, including ways to use AI to accelerate engineering and product capabilities
Taking ownership on new features and leading collaborative efforts end to end
Supporting the entire application lifecycle, including release management and supporting production
Collaborating with quality assurance, technical support, product management and other engineering teams to deliver integrated features.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

we are the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. our companys AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, our company has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.
Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply.
Here are a few of the things you will do:
Play a critical role in our companys strategic AI initiatives, influencing product vision and customer experience
Live and breathe the entire company codebase, from the backend bytes to the frontend bits
Own your features from product design, through tech design all the way to production and customer usage
Work as part of a Full Stack agile squad, working in high velocity, delivering great quality
Inspire others. Lead by example and make sure our users get the fabulous experience they deserve.