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We are seeking a highly skilled and experienced Head of Application Security to join our dynamic team. This role is pivotal in driving the security of our software development lifecycle and ensuring the robustness of our applications against potential threats. The ideal candidate will have a strong background in secure software development practices, including SSDLC implementation, and a deep understanding of security risks & tools. This position reports directly to an R&D VP.
Key Responsibilities
Lead the application security team, providing strategic direction and mentorship.
Develop and implement a comprehensive Secure Software Development Lifecycle (SSDLC) framework.
Oversee the integration of security practices into all phases of the software development lifecycle, including CI/CD guardrails.
Conduct risk assessments and threat modeling to identify and mitigate potential security vulnerabilities.
Collaborate with development teams to ensure secure coding practices and adherence to security standards, while maintaining developer productivity.
Implement and manage security automation tools and processes to enhance the efficiency of security operations.
Stay up-to-date on the latest security trends, vulnerabilities, and technologies to continuously improve our security posture.
Provide expert guidance on security architecture and design for new and existing applications.
Lead incident response efforts related to application security breaches and vulnerabilities.
Foster a culture of security awareness and continuous improvement within the organization.

Join our AI Platform group as an AI Engineer in the AI Core team and help build the next generation of AI-powered networking and security solutions at our company.
The AI Core team is responsible for developing AI applications, intelligent agents, and backend systems that integrate directly into our company products and workflows. As part of our companys strategic AI direction, the team focuses on turning modern GenAI capabilities into scalable production systems that help customers operate, troubleshoot, investigate, and manage complex networking and cybersecurity environments more effectively.
This role combines strong software engineering, modern GenAI technologies, and deep product impact. Youll work on building production-grade AI systems, integrating LLMs and agentic workflows into large-scale products, and helping shape how AI transforms cybersecurity and networking operations across the company.
We are looking for engineers who are excited about building real-world AI systems in production, not just experimenting with models, but designing scalable applications, integrating intelligent agents into complex products, and solving challenging engineering problems with direct customer impact.
Key Responsibilities
Design, develop, and maintain AI-powered applications, agents, and backend systems
Build intelligent workflows and agentic systems integrated into our company networking and security products
Develop scalable APIs, services, and infrastructure supporting GenAI applications in production
Integrate LLMs, RAG pipelines, vector databases, and orchestration frameworks into robust production systems
Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
Improve scalability, reliability, observability, and operational excellence of AI systems
Explore and adopt modern AI engineering methodologies, frameworks, and tooling
Participate in architectural and technical decisions shaping the future of AI across our company products.

Interested in Cyber Security and looking to work on real-world threats?
Join our company's Network Security Research team, where you'll help develop protections that keep organizations around the world safe from emerging attacks. Our team researches new threats, analyzes network vulnerabilities, develops detection and prevention technologies, and delivers frequent security updates to customers worldwide.
This role combines hands-on security research, threat analysis, and product content development, offering the opportunity to work on a wide variety of technologies, attack techniques, and emerging trends-including the growing use of AI in Cyber Security.
Key Responsibilities
Research, develop, and release network protections and security updates for our company's Network Security products.
Reproduce and analyze malicious attacks and campaigns to better understand threats and design effective mitigations.
Investigate network protocols and identify new detection opportunities.
Hunt for emerging threats using our company's cloud-scale data and develop new analysis techniques.
Explore how Generative AI and LLMs can improve threat research, detection, and security analysis.
Share research findings through technical blog posts and other internal and external publications.
Collaborate closely with researchers and developers to bring new protections from research into production.

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
We are looking for a Technical Support Engineer to join our Support team and provide high-quality technical assistance to customers and partners.
In this role, you will work with advanced networking and cybersecurity technologies, troubleshoot challenging technical issues, and play an active role in ensuring a reliable and secure customer experience.
You will take part in resolving real-world technical problems across diverse environments, working closely with customers while collaborating with internal teams to deliver effective and professional support.
Major Responsibilites
Provide first-line technical support to customers and partners via chat, phone, and email
Assist customers with basic configuration, troubleshooting, and usage of security and networking solutions
Handle support service requests end-to-end, including proper logging, tracking, escalation, and follow-up
Perform initial fault isolation and analysis for networking and security-related issues
Review logs, traffic captures, and system data to help identify root causes of technical problems
Collaborate closely with senior support engineers and internal teams to resolve customer issues effectively
Follow established troubleshooting methodologies, documentation standards, and best practices
Continuously learn and develop technical skills through training, mentoring, and hands-on experience.

We are looking for a hands-on expert who combines strong technical depth, ownership mindset, and the ability to lead delivery with trust and accountability.
This is a temporary role for Maternity leave replacement
Key Responsibilities
Own end-to-end delivery of Salesforce Service Cloud solutions, from requirements through design, implementation, and deployment
Act as a technical owner, ensuring high-quality, scalable, and maintainable solutions aligned with best practices
Lead and manage project execution, including planning, prioritization, stakeholder alignment, and on-time delivery
Design and implement Service Cloud capabilities (Case Management, Omni-Channel, Knowledge, automation) with strong attention to performance and usability
Build trusted partnerships with business stakeholders by providing transparency, clear communication, and reliable execution
Promote innovation and AI-driven enhancements, identifying opportunities to leverage Salesforce AI (Einstein/Copilot) to improve support processes.

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.

We are building next-generation SaaS security intelligence and SaaS Security Posture Management (SSPM) solutions that protect enterprises worldwide. If you enjoy turning complex security data into actionable insights and delivering end-to-end systems, this role is for you.
About the role
You will own, build, and maintain our data pipeline (Python) and enrichment system on top of PostgreSQL and BigQuery. This system powers security analytics, detections, and intelligence. A core part of your job will be to design and implement new components, improve reliability and performance, and ensure data quality and observability.
Key Responsibilities
Own, build, and maintain production data pipelines and enrichment services using Python, PostgreSQL, and BigQuery in a GCP cloud environment.
Architect data systems end to end, including design, deployment, monitoring, and iterative improvement.
Analyze complex security datasets and SaaS telemetry to uncover risks, patterns, and opportunities.
Research emerging threat vectors and contribute to automated intelligence feeds and published reports.
Work across security domains such as SSPM, Shadow Integrations, DLP, and Malware Protection.

our companys Forecasting & Analytics group is seeking a Revenue Forecasting Lead - a strategic, analytical, and collaborative professional who understands how global GTM organizations operate and how RevOps drives growth at scale. This role sits at the heart of our revenue engine, partnering closely with senior GTM leadership across regions and business units.
As a Revenue Forecasting Lead, you will support and orchestrate the companys global forecasting cadence. You will ensure accuracy, consistency, and clarity in how we understand performance, assess risk, and plan for growth. You will support executive level business rhythms, build processes that enhance operational visibility, and help the company navigate the challenges and opportunities of a fastmoving cybersecurity market.
This is a role for someone with proven experience, exceptional interpersonal skills, and the ability to bring structure, insight, and confidence into complex, high pressure decision environments.
Key Responsibilities
Support Key Forecasting Cadences: Provide analytical and operational support across several core forecasting processes, ensuring accuracy, consistency, and clarity for senior GTM leadership
Enable Matrixed Forecasting Across Business Owners: Partner with regional leaders, segment owners, and cross functional stakeholders to consolidate inputs, validate assumptions, and maintain alignment across a distributed forecasting ecosystem
Develop Insight Driven Forecast Models - Build and refine analytical frameworks, models, and AI supported tools that improve forecast accuracy and business predictability.
Enhance Operational Visibility - Create processes and insights that help leadership monitor performance, understand trends, and make data driven decisions that support company growth.

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.

Hunt, investigate, and analyze advanced persistent threat (APT) activity across endpoints, servers, cloud, and network infrastructure. partner with our Threat Intelligence team to resolve complex intrusions in customer networks. You'll uncover stealthy adversary behavior, reconstruct attack chains, and build the tools and methods that make our hunting and forensics better. You'll also present original research at top-tier industry conferences and
Key Responsibilities
Hunt and investigate targeted intrusions, long-dwell compromises, and espionage- driven activity across enterprise, cloud, identity, and network environments.
Perform advanced forensics across operating systems, cloud, memory, and network telemetry; correlate signals to determine the scope of compromise.
Build innovative tooling, research systems, and hunting/investigation workflows; identify capability gaps and propose automations to close them.
Produce clear reports, forensic timelines, threat-actor assessments, and actionable detection and remediation guidance.
Support internal security, threat intelligence, detection engineering, and investigation teams with expert forensic findings and technical analysis.
Partner with the Threat Intelligence team to resolve complex intrusions in customer networks.
Represent the organization through conference talks, workshops, and original research.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

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.