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At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
Want to lead one of the most impactful teams at our company, in an innovative environment within a successful global company? Want to own the technical and product direction of our MSP (Managed Service Provider) platform - from roadmap to architecture to delivery - while growing a world-class engineering team? our company's MSP group is looking for a talented Team Lead to take the helm.
You will own the team end-to-end: technical architecture, roadmap, cross-functional alignment, execution, hands-on leadership, and people growth. Your decisions will shape products used by managed service providers worldwide and influence how they secure their customers.
Job Description
Roadmap Ownership: Partner with Product Management to define and own the multi-quarter roadmap for MSP features and integrations, prioritize ruthlessly, and align with the broader Infinity platform strategy
Highly Hands-On: Take part in writing code, and lead and mentor developers day to day
Drive Architecture & Development: Lead end-to-end design and delivery of MSP capabilities - including BI, billing, and partner-facing integrations. Stay hands-on in design reviews, deep code reviews, and the hardest architectural decisions
Cloud-Native Execution: Guide the team in building scalable, multi-tenant solutions on AWS, with event-driven pipelines (Kafka, SQS) handling high-volume operational and billing data
Lead & Grow the Team: Mentor and grow a high-performing R&D team. Run one-on-ones, drive performance, and continuously raise the technical bar. Shape the team's engineering culture
Cross-Functional Leadership: Work closely with Product Management, Finance, and partner-facing teams to deliver cohesive, high-impact solutions for MSPs
Shape the Strategic Frontier: Help define how our company serves the MSP market as it grows and evolves
Full-Stack Ownership: Guide technical decisions across the stack - Node, React, PostgreSQL, Redis, and the surrounding AWS services.

We are on an expedition to find you, someone who is passionate about crafting intuitive, conversational, and intelligent user experiences. Youll be at the forefront of shaping how users interact with AI balancing the precision of technology with the nuance of human-centered design.
The Responsibilities:
Design intuitive, user-centered solutions in a data-rich environment.
Drive the evolution of our design language to support intelligent systems, including suggestion flows, and explainable AI patterns.
Translate complex workflows into accessible product experiences
Collaborate closely with product managers, engineers, analysts, cyber researchers and fellow designers
Advocate for user trust and transparency in AI design, especially around decision-making, nudges, and personalization.
Present your work across disciplines and senior stakeholders with clarity, storytelling, and rationale.
Take ownership from concept through execution to post-launch iteration.
Facilitate design reviews, usability tests, and continuous iteration
Contribute to the Design System and design culture.

we are looking for a product-driven, cyber-savvy Product Manager to lead our Risk domain. This role focuses on transforming complex security insights into structured, actionable risk reduction- owning how organizations prioritize, mitigate, and track exposure across their environments.
You will operate at the intersection of attacker perspective, product thinking, and real-world security operations- turning risk into something measurable, defensible, and actionable.
The Responsibilities:
Own the product strategy and execution for Risk domain
Design and optimize risk prioritization and mitigation workflows
Translate attacker-realistic paths into clear, actionable remediation guidance
Develop exposure reduction methodologies and lifecycle tracking models
Partner closely with Detection and Attack Path teams to ensure realistic and effective prioritization
Ensure risk insights are measurable, defensible, and aligned with real-world security operations
Continuously improve how customers reduce exposure.

We are building a next-generation Workforce AI Security platform that helps enterprises manage, secure, and govern AI-powered products at scale. We are looking for a Senior Backend Engineer to join the core backend team and own foundational services used across the platform. The role is focused on production-grade backend engineering, distributed systems, APIs, reliability, and clean, maintainable design.
Key Responsibilities
Design, build, and own backend services from design to production.
Build secure, scalable APIs and microservices for core platform capabilities.
Work on domains such as policy flows, identity/authentication, tenant and license management, client/agent services, MCP protection, analyzers, and business-logic services.
Design reliable flows for service-to-service communication, caching, background processing, data persistence, and multi-region production environments.
Participate in architecture discussions and improve system design, performance, security, reliability, and observability.
Write clean, maintainable, well-tested code and take ownership of delivery quality.
Collaborate closely with product, architects, frontend, DevOps, security researchers, and other engineering teams.
Troubleshoot production issues and contribute to strong engineering standards and best practices.
Own backend data-platform capabilities, including event schemas, ingestion pipelines, and reusable query layers for high-volume, multi-tenant product analytics.

Build the future of endpoint security - protecting customers at global scale, and shaping its next generation.
As a Senior Product Manager on our company's Endpoint Security team, part of our Workspace Security platform, you'll own product areas end-to-end - from strategy through launch and adoption - partnering with R&D, UX, data, and go-to-market teams, and working directly with the customers who use our products every day.
Why this role?
Define the future of endpoint security across prevention, detection, and response
Shape a product used by tens of thousands of global customers
Move quickly, backed by the scale, data, and customer base of a global security vendor
Key Responsibilities
What youll do
Own product areas end-to-end across inbound and outbound: define vision, strategy, and roadmap, then drive positioning, messaging, customer engagement, and enablement to market.
Work directly with customers to understand their challenges and translate them into product direction.
Define new capabilities across endpoint protection, threat detection, and response.
Partner deeply with engineering to make thoughtful tradeoffs between detection efficacy, performance, scalability, and customer experience.
Use data and analytics to guide prioritization, validate direction, and measure impact.
Bring structure to ambiguous problems, and communicate strategy, risks, and progress clearly to stakeholders and leadership.

About the Team
The Exposure Management group is one of our company's newest and fastest-growing organizations, built around a vision to reinvent how companies manage cyber risk. We bring together threat intelligence, AI, cloud-scale platforms, attack surface management, exposure validation, and automated remediation into a unified security platform used by enterprises worldwide.
Joining our team means working on cutting-edge cybersecurity products, solving complex technical challenges at scale, and helping define how organizations operationalize Continuous Threat Exposure Management (CTEM). You'll collaborate with world-class engineers, researchers, product leaders, and security experts to build solutions that transform security intelligence into meaningful action.
This is a unique opportunity to join a high-growth organization where you'll have the agility, ownership, and impact of a startup, backed by the scale, resources, and global reach of our company. Together, we're building the next generation of cybersecurity solutions that help organizations stay ahead of emerging threats.
We're seeking a Senior Full Stack Engineer to build core features for our cybersecurity platform. You'll work with a small engineering team, to deliver features that directly impact user security and experience.
Key Responsibilities
What You'll Do
Lead end-to-end feature development
Architect scalable solutions for our React/NestJS platform
Collaborate with Product, Design, and Security teams on user-facing features
Optimize application performance and security for enterprise customers
Builג scalable systems to onboard and serve a growing customer base.

we are looking for a Threat Researcher to join its Threat Intelligence Analysis (TIA) team. The team is responsible of discovering, analyzing and tracking advanced threat actors and campaigns, with a strong focus on high-end cybercrime and state-sponsored activities. You will join a team of motivated, independent & highly technical individuals and contribute the effort to protect our company customers and empower the company brand.
Key Responsibilities
Identify, understand and monitor advanced campaigns using publicly available sources as well as internal telemetry.
Analyze malware and other hacking tools utilized by threat actors in active campaigns and intrusions.
Create technical research content for public and private intelligence reports.
Help build protections and detections based on deep understanding of advanced threat actors Tactics Techniques and Procedures (TTPs).
Collaborate with other security teams to assist threat intelligence and research tasks.

We are looking for an experienced Backend Team Lead to join our Harmony SaaS Security group and lead the development of our Data Loss Prevention (DLP) platform.
Our team was born from a successful cybersecurity startup acquisition and operates with a startup mindset inside a global cybersecurity leader. We focus on building advanced security solutions that protect organizations from sensitive data exposure across modern SaaS environments.
As a Backend Team Lead, you will own the architecture and evolution of a large scale DLP platform responsible for detecting, analyzing, and protecting sensitive data across thousands of organizations and millions of SaaS events.
You will lead a team of highly skilled backend engineers, working with a modern cloud native stack including Go, GCP, Kubernetes, Kafka, and Postgres, and will design systems that process and analyze massive volumes of security data in real time.
This role combines technical leadership, system architecture, and hands-on development, with opportunities to shape the future of our platform, introduce AI-driven security capabilities, and drive engineering excellence across the team.
If you enjoy building large scale distributed systems, leading strong engineers, and solving complex security problems, we would love to meet you.
Key Responsibilities
Lead and grow a team of backend engineers, fostering a culture of ownership, innovation, and engineering excellence.
Own the technical direction and architecture of the DLP product and its backend services.
Design and build high scale distributed systems that ingest, process, and analyze large volumes of SaaS security events.
Drive architectural decisions around event driven systems, data pipelines, and cloud native infrastructure.
Collaborate closely with product managers, security researchers, and data teams to deliver impactful security capabilities.
Mentor engineers through technical guidance, architecture discussions, and code reviews.
Ensure high standards for performance, reliability, scalability, and observability.
Build and optimize systems leveraging technologies such as Kafka, Kubernetes, and GCP services.
Drive innovation by exploring and integrating AI-based capabilities for advanced data classification and security detection.
Maintain operational ownership of production systems, including monitoring, troubleshooting, and continuous improvements.

we are seeking a Senior Product Manager to lead the hardware platform strategy for our Security Gateway Appliances.
This role owns the longterm appliance roadmap, defining nextgeneration hardware platforms across enterprise, data center, carrier, and AIdriven environments.
You will drive platform decisions spanning CPUs, ASICs, accelerators, server architecture, and highspeed networking, and lead crossfunctional execution across teams without direct authority.
Key Responsibilities
Own the product strategy and multiyear roadmap for Security Gateway hardware platforms
Define nextgeneration appliance architecture (enterprise, data center, carrier, AI/DC)
Lead endtoend platform design across hardware, firmware, OS, and system architecture
Drive crossfunctional alignment with R&D, HW Engineering, Architecture, QA, NPI, and Operations
Translate customer, partner, and field requirements into clear product and platform decisions
Own products from concept through GA and lifecycle management.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for an experienced Senior Product Manager to join our Product Management team, focusing on AI workloads and AI operations tools. In this role, you'll drive the AI capabilities customers use to operate enterprise storage and to build AI data services, taking the product from definition through GA and measuring its success.

Responsibilities:

* Drive the AIOps and AI-data-readiness strategy and roadmap, inbound and outbound, informed by where the market and the technology are moving
* Lead discovery with enterprise customers and Fortune 500 accounts, and work with the field and sales teams to turn what you learn into product and feature decisions
* Oversee deployment models considering cost, data governance, privacy, and compliance
* Take the product from PRD to GA with R&D, QA, Support, and Operations. Win the commitment of the executive team, Sales, and Marketing
* Measures for success: adoption, customer impact, and business outcome
* Be the subject-matter expert on AIOps: lead the conversation about this product with customers and internal teams.

Required Senior Emulation Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop, execute, and debug full-chip/system on a chip (SoC) tests on emulation platforms.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Define and implement various coverage measures to capture stimulus and corner-case scenarios. Work with software and post-silicon validation teams to reproduce failures on emulation.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out. Explore new verification and emulation methodologies and implement them.

Required Edge-AI Verification Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Lead the verification of an edge AI IP, to be used in our edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with Architecture, Software, Design, and Physical Design stakeholders to make technical decisions and represent project status throughout the development process.