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Required NPI/Engineering Mechanical Product Lead
Job Summary
As a Mechanical Engineering Product Lead, you will be responsible for leading the transition of new hardware products from the design and development phase to successful mass production. You will be a key technical point of contact, managing New Product Introduction (NPI) activities and collaborating closely with various teams to ensure smooth and efficient manufacturing.
Main Responsibilities:
Lead and manage New Product Introduction (NPI) activities for new hardware products, overseeing the entire process from design to mass production.
Develop and optimize manufacturing processes, creating detailed engineering and manufacturing documentation.
Manage the design and manufacturing of mechanical components made from plastic and metal, working directly with CMs locally and abroad.
Lead the design, validation, and certification of product packaging.
Act as a technical focal point, collaborating with R&D, production, quality assurance, and supply chain teams.
Support the design and manufacturing of jigs and fixtures for the production line.
Lead the manufacturing and DFx and FAI processes for mechanical parts, PCBs, and PCBAs.
Support the assembly of mechanical prototypes.

As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

We are looking for a B2B SaaS Enterprise Software Senior Product Manager to lead strategic solutions from conception to execution.

As an experienced, hands-on leader you will own the vision & roadmap of a dedicated R&D team set to empower worldwide organizations (Banks, Insurers, and more) to create customer-facing digital processes.

Responsibilities:
Create lovable products by driving product strategy and overseeing the end-to-end product development process.
Demonstrate a customer-centric approach addressing real customer pain points constantly engaging with customers and analyzing user and usability data.
Define and own product life cycle: From market research to scoping and requirements definition, UI and UX, KPIs, and working with the R&D teams.
Cooperate with Sales, Customer Success, Delivery / Professional Services, and Marketing on taking the product to market.

we are looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the company team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the applications full life cycle, from design, and development to CI/CD.
Responsibilities:
End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch.
Assisting DevOps with maintaining and enhancing our build system.
Researching Apple platform and ecosystem for relevant technologies.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features.

We are looking for the senior product manager on the ground in Israel for our IT's Enterprise Products team. In this role you are accountable for making the productivity tools we build first-class for the IL workforce and the Networking business unit, and for building and improving our wide Hardware teams productivity tool, an internal Jira purpose-built for Hardware design.

You will report to the Head of PM & Design in the US and partner daily with our US-based PM peers across Personal Assistant, NVInfo/Photon, Astra, and NVBugs. Most importantly, you will be the voice of Israel when we make global roadmap decisions, so the needs of the site are designed in from the start.

What You Will Be Doing:

Represent Israel. Engage NBU and IL business stakeholders, IL engineering leaders, and end users to surface workflows, friction points, and AI opportunities unique to this site.

Shape the global roadmap. Influence our broader IT Product priorities so IL needs are designed in, not bolted on.

Partner with IL engineering. Co-own delivery with the ~20-person IL engineering org driving NVBugs consolidation and the integration layer between NBU's internal tools and NVIDIA-wide systems (NVBugs, Jira, Salesforce, NVOnline, GitHub, GitLab).

Ship full-stack at scale. Own UX, backend behavior, integration design, rollout, and metrics end-to-end. Our products reach tens of thousands of users.

Drive outcomes. Set the adoption, engagement, and productivity metrics that anchor IL's contribution to the global plan.

we are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by our company, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

We are a strong, fast-moving team developing advanced solutions in one of our companys most innovative areas - Identity Security.
Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next generation frontend application
Take responsibility and lead the development of multiple components of the system in a dynamic environment
Work closely with our UI/UX experts, designers and product managers to create visionary cyber security products
Research, design and develop complex data visualization solutions.

We are seeking a strategic and data-driven Marketing Operations Manager (Temporary position for Maternity Leave)  to be responsible for optimizing, scaling, and tracking the performance of our marketing engine. This is a high-impact role responsible for ensuring that our marketing systems, data, and processes operate at peak efficiency. 
Youll oversee the marketing automation infrastructure (especially Marketo, Salesforce) and ensure its fully leveraged to drive demand, optimize performance, and align with GTM goals. Your work will directly shape how campaigns are executed, how attribution is measured, and how insights fuel revenue growth. You will have deep GTM processes understanding and constantly look for optimizing operational processes and proactive data insights using AI agents 
Responsibilities:
Process Optimization & AI 
Standardize and streamline operational processes for marketing, SDR and sales 
Continuously refine workflows to maximize productivity and minimize friction.
Lead dashboarding project management initiatives, ensuring on-time and successful delivery of cross-functional marketing programs.
Act as a change agent for AI operational excellence and cross-functional alignment. 
Systems & Automation
Own and manage the marketing tech stack (Marketo, Salesforce, Asana, Zoominfo, Make.com, Clearbit, Lusha, Dreamdata, Chili piper, Demandbase etc)
Design, implement, and optimize Marketo workflows to automate and scale lead management, nurturing, and campaign execution.
Serve as a Salesforce professional, ensuring accurate data, reporting, and integration across GTM systems.
Enhance marketing automation, lead scoring, nurturing workflows, and data synchronization.
Support and optimize email marketing programs, ensuring scalability, performance, and alignment with demand-gen and ABM strategies. 
Analytics & Reporting
Develop and maintain dashboards and reporting frameworks for campaign performance, funnel health, and marketing-sourced pipeline.
Manage attribution modeling efforts to identify high-impact initiatives.
Ensure data quality, integrity, and usability across all marketing systems.

Behind that no-code surface sits a non-trivial backend: a distributed workflow runtime that executes customer-defined business processes, integrates with dozens of third-party systems, and serves real production transactions across 7 regional clusters. We are looking for a Senior Backend Engineer to help us evolve that runtime.

Responsibilities
Own architectural decisions on the workflow runtime, single vs. multi-tenancy boundaries, and integration patterns. Write the design doc, defend it in review, ship it.
End-to-end delivery: requirements → design → implementation → deployment → monitoring → post-incident learning-no throwing over the wall.
Partner with Product, DevOps, and the other engineering teams on cross-team initiatives (Celery → temporal.io rollout, customer onboarding to new regions, breaking changes in the workflow runtime).
Mentor mid-level engineers through code review, design review, and on-call shadowing.
Continuously raise the bar on code quality, system stability, and test coverage.

Are you a master of the AI lifecycle who can thrive at the intersection of deep learning research, cybersecurity and large-scale production systems? Do you possess the rare ability to jump into a complex technical crisis, diagnose a bottleneck in a Small Language Model (SLM), and lead a team to a production-ready solution?
As a Distinguished AI/ML Architect, you will be the premier technical authority across the Cortex AI/ML organization. You will serve as the "force multiplier" for multiple AI & ML teams, ensuring that our AI strategy - from endpoint-deployed DL/ML models to cloud-scale agentic products - is executed with world-class precision. You will operate as the primary technical architect and hands-on leader for our most ambitious and difficult initiatives.
Key Responsibilities
Operate at the forefront of AI and cybersecurity, leveraging vast datasets to design and deploy innovative defense mechanisms.
Provide horizontal technical leadership across endpoint, cloud, and agentic AI teams to ensure architectural excellence.
Oversee the design and deployment of different model architectures to guarantee scalability and high-performance standards.
Spearhead high-difficulty initiatives and new research frontiers, moving them from ambiguity to production.
Resolve complex technical bottlenecks across the stack, optimizing model efficiency and runtime performance.
Align research and engineering efforts to transform advanced models into robust, production-grade products.

Join a team redefining cloud security operations across Cloud Detection & Response (CDR) and Cloud Security Posture Management (CSPM). Our team operates at the intersection of security, engineering, and large-scale cloud operations. We build products that help organizations detect threats faster, respond with confidence, continuously reduce risk, and secure modern cloud environments at scale. This is an opportunity to help shape the future of autonomous cloud defense by building technology that turns security signals into meaningful action.
Key Responsibilities
Help build the next generation of the Autonomous Cloud SOC by transforming detections, posture findings, and emerging threats into intelligent investigation and response workflows.
Design and build automated playbooks that investigate security signals, gather evidence, assess blast radius, validate risk, and guide or execute response actions.
Work across cloud control planes, identity systems, Kubernetes environments, network telemetry, and posture data to turn signals into high-confidence outcomes.
Leverage existing detections, continuously improve investigation logic, and ensure response workflows remain effective as cloud environments and attacker techniques evolve.

Were looking for Senior Product Managers to join the Koi team, now part of our companys Cortex AES, Agentic Endpoint Security. Koi brings startup velocity and ownership to one of the fastest-emerging security categories: securing the future agentic endpoint.
As a Senior Product Manager on the Cortex AES team, you will play a critical role in shaping the future of endpoint and AI security. You will lead product strategy and execution, working closely with cross-functional teams to define, build, and launch agentic endpoint security solutions.
Key Responsibilities
Defining and owning the product roadmap for agentic endpoint security, aligning it with the overall Cortex strategy
Collaborating with engineering, design, and marketing teams to drive product development and go-to-market strategies
Conducting market research and competitive analysis to identify market trends and customer needs
Engaging with customers to gather feedback, understand pain points, and prioritize feature enhancements
Defining key performance indicators (KPIs) and tracking product performance against established goals
Evangelizing the product internally and externally, including presenting at industry events and conferences.

What you will do
Research threat actors, campaigns, and techniques relevant to browser extensions, SaaS apps, autonomous agents, MCP/tooling ecosystems, and related endpoint behaviors.
Build and maintain threat intelligence: TTPs, IOCs where appropriate, ATT&CK-style mappings, and internal knowledge bases.
Design, test, and tune detection logic (behavioral rules, heuristics, models, or equivalent) in collaboration with detection and data science teams.
Analyze customer and telemetry datasets to find novel abuse patterns, false positives, and detection gaps.
Produce clear outputs for multiple audiences: technical blogs, customer-facing briefings, internal playbooks, and engineering specs.
Work with reverse engineering, data engineering, and product to turn research into durable platform capabilities.
Participate in incident-driven research and time-sensitive investigations when new threats emerge.

The L&D Operations role is responsible for the end-to-end administration and operational delivery of global learning and development initiatives. This position owns training logistics, vendor coordination, LMS administration, compliance tracking, reporting, and learning data management to ensure a seamless and high-quality employee learning experience.
This role requires strong English communication skills (written and verbal), a highly service-oriented mindset, and the ability to partner effectively with leaders and stakeholders across multiple functions and levels of the organization.
This is an ideal second role for someone with prior experience in HR, L&D coordination, training administration, or program operations who is looking to expand ownership and strategic exposure.
Responsibilities:
Training Course Operations
Manage the end-to-end coordination and execution of management development, soft skills, and team-based training programs delivered in Israel HQ and our global sites:
Coordinate global training logistics, scheduling, and delivery across multiple regions
Source, evaluate, and manage external training vendors and facilitators
Align with vendors on program objectives, delivery format, and operational requirements
Manage training communications, including participant invitations and updates
Support leaders and participants with scheduling adjustments and logistical needs
Ensure all training facilities, materials, and delivery requirements are in place
Maintain accurate training records and documentation
Monitor training participation and track completion
Collect feedback and evaluate training effectiveness through surveys and data analysis
Consolidate reporting insights to recommend improvements in content, delivery format, and learner experience
Support development of an annual training calendar and scalable global rollout processes
Learning Management System (LMS) & Digital Learning Administration
Compliance Training Administration
Assign and manage mandatory compliance training for new hires and existing employees
Track learner progress and course completion within the LMS
Proactively follow up and escalate overdue training to ensure regulatory compliance
Maintain accurate compliance records and reporting documentation
Generate compliance dashboards and participation reports for stakeholders
Online Learning Platform Management
Administer employee access to online learning platforms (Udemy, Pluralsight, LinkedIn Learning, Duolingo)
Manage license allocation and utilization tracking
Process training access requests and approvals
Monitor platform usage and report on engagement and learning outcomes
Identify opportunities to optimize license usage and scale access efficiently
LMS Operations & Administration
Administer and maintain LMS platforms (Skilljar and Traliant)
Upload courses, manage enrollments, and configure learning assignments
Track learner progress and training participation
Maintain accurate learning records and system data integrity
Support creation of learning paths and structured learning journeys (as needed)
Identify opportunities to streamline LMS workflows and automate processes
Contribute to enhancing the overall digital learning experience.

As a Senior Data Scientist, you will bridge the gap between high-level research and production-grade reliability. Your role is to design and build the "connective tissue" that allows autonomous agents to function in the wild. You will move beyond simple wrappers to architect systems that can handle the inherent uncertainty of AI, ensuring that our agentic products are not just "smart," but robust, observable, and capable of operating at enterprise scale.
Key Responsibilities
Design and implement the backbone for multi-agent systems to manage complex, non-linear workflows and autonomous decision-making.
Build specialized infrastructure to handle dynamic AI environments where outputs are unpredictable, ensuring system stability through robust "guardrail" architectures and fallback logic.
Implement advanced tracing and logging for agent "thought processes," enabling the team to debug complex multi-step reasoning chains in real-time production environments.
Develop automated tools to identify, isolate, and replicate edge-case failures in agent behavior, transforming "black box" hallucinations into actionable engineering tickets.
Establish sophisticated monitoring for production deployments, tracking not just uptime, but model decay, tool-calling accuracy, and semantic drift across millions of tokens.