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We're looking for an innovative Software Developer to join our company and build the next generation of automation platforms that measure, validate, and improve our security products.
You'll develop cloud-based systems that orchestrate cyber security tools, collect and analyze large-scale security data, and build intelligent automation using modern AI development methodologies. Your work will generate trusted security insights that help engineering teams improve our products, enable Sales to demonstrate their effectiveness, and provide the company with a clear understanding of its security posture.
Key Responsibilities
Build and own end-to-end features, from design through deployment and monitoring
Develop scalable cloud-based automation platforms that orchestrate security tools and large-scale data collection.
Build intelligent automation using modern AI development methodologies
Build platforms that transform large-scale security testing into actionable insights for engineering, management, and customer-facing teams
Collaborate with researchers, analysts, and product teams to deliver impactful solutions.

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.

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our company's products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

Required Senior SOC DFT 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.
In this role, you will play a crucial role in Design for Testing (DFT) Architecture and DFT design, and support devices of extreme complexity to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality matrix throughout the project life-cycle, and providing sign-off DFT to tapeout.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead and execute activities in the design, implementation, and verification of DFT solutions for large-scale ASICs.
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage the DFT team's workload and deliverables, provide technical leadership and guidance to the team.
Lead DFT execution of a silicon project (e.g., planning, execution, tracking, quality, and signoff).

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.

Required Design Team Manager, Servers, 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.
As a Design Team Manager within the Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
In this role, you will oversee the Intellectual Property (IP) and SoC VLSI design cycle from architecture to production. You will own and manage IP, subsystems and SoC development, leading a group of designers and design tech leads. You will be responsible for mentoring and developing team members and tech leads, driving improvements in leadership, technical execution, and design flows.
Responsibilities
Manage a team of tech leads and designers. Develop and mentor team members, and communicate and co-work with multi-disciplined and multi-site teams.
Lead design activities at IPs, subsystems, and System-on-Chips (SoCs).
Plan, execute, track progress, assure quality, and report status of the assigned activity.
Work closely with internal customers and support multiple activities and deliverables.
Assure and manage deliverables quality at all RTL design categories including reviews, static checks, design for physical design, power, etc.

Required SoC DFT 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.
As a System on a Chip (SoC) Design for Test (DFT) Engineer, you will be responsible for defining, implementing, and deploying advanced DFT methodologies for digital or mixed-signal chips. You will define silicon test strategies, DFT architecture, and create DFT specifications for next generation SoCs. You will design and verify the DFT logic and prepare for post silicon and co-work/debug with test engineers.
Responsibilities
Develop DFT strategy and architecture (e.g., Memory Built-In Self Test (MBIST), Automatic Test Pattern Generation (ATPG), hierarchical DFT).
Complete all Test Design Rule Checks (TDRC) and design changes to fix TDRC violations to achieve high-test quality.
Insert DFT logic, boundary scan, scan chains, DFT Compression, Logic Built-In Self Test, Test Access Point (TAP) controller, clock control block, and other DFT IP blocks.
Insert MBIST logic including test collar around memories, MBIST controllers, eFuse logic, and connect to core and TAP interfaces.
Document DFT architecture, test sequences, and boot-up sequences associated with test pins.

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.

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.

Required Staff Software Engineer, Cloud Storage, AI/ML
About the job
Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Storage Staff Software Engineer in the datapath team, you will design and implement advanced storage solutions tailored for AI/ML workloads on Cloud Platform. You will address complex system design challenges, develop production-ready code, and contribute to fast-paced incubation projects. Your role involves developing benchmarks, resolving performance issues and collaborating with cross-functional teams to bridge storage infrastructure with evolving AI/ML demands, from training to inference.
Responsibilities
Design and implement high-complexity features, delivering robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions, driving the technical design for features and making data-driven decisions to optimize system efficiency and reliability.
Adapt to fast-paced development cycles for new technical domains.
Identify and resolve performance bottlenecks and intricate system issues, developing innovative, practical solutions to technical challenges that arise at the intersection of storage and machine learning.
Partner with product and engineering stakeholders across the storage domain to deliver high-complexity features and products.

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.

Required RTL Design Technical Lead, Networking, 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.
As part of our Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
In this role, you will contribute in all phases of Application-Specific Integrated Circuit (ASIC) designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis, etc. to specify and deliver high quality SoC/RTL. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHDL), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power, and FPGA/silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

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.

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.