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We're looking for a Product Manager to own the operational efficiency aspect of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Define human and agent interaction models: Shape how users collaborate with AI agents, from user initiated queries and agent driven outreach to seamless side by side execution.
Lead agentic ticket resolution and IAM automation: Own the end to end product strategy for identity tasks, including provisioning and deprovisioning, entitlement changes, plus joiner, mover, and leaver workflows.
Own the agentic execution layer: Spec the core product rails for executing actions in customer environments, including human approval flows, risk controls, and confidence building mechanisms.
Drive field to roadmap feedback loops: Partner closely with customer facing and POC teams to translate real world edge cases and customer insights into scalable roadmap features.

We're looking for a Product Manager to own the data and knowledge component of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Architect the Data Fabric: Own the data layer, defining schemas and cross relationships across IAM, network, and security domains to power agent capabilities.
Lead the Knowledge Layer: Own how policies and operating procedures are captured, structured, and updated so agents apply them reliably.
Build the Customer Experience: Partner with design and engineering to build user interfaces for data exploration, search, reporting, and connection health.
Scale Data Fabric and Knowledge as a Platform: Own the internal interface between data layers and other product components to feed agent visibility and decision making.
Drive Field to Roadmap Feedback Loops: Partner closely with customer facing and POC teams to turn real world field signals into scalable product features.

We are looking for a Legal Operations Manager to own how agreements move through the company. This is a hands-on legal operations role. You'll own the contract lifecycle end to end: intake, triage, routing to external counsel where needed, tracking, signature, filing, and follow-through on what we committed to. You will maintain our templates and playbooks, keep the contract tracker and reporting accurate, support compliance and customer security reviews, and use legal tech and AI tools to keep the work moving. You will also improve how it works.
What You'll Do:
Own the contract lifecycle end to end: intake, triage, routing to external counsel where needed, tracking, signature, filing, and follow-through on commitments.
Maintain company templates and playbooks.
Keep the contract tracker and reporting accurate.
Support compliance and customer security reviews.
Use legal tech and AI tools practically to keep work moving.
Continuously improve how legal processes work.

We are looking for an AI Research Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
You'll own technically difficult problems before the solution is known. Starting with a cybersecurity need, you'll study the domain, frame the technical challenge, investigate possible approaches, and build the solution through production. You'll have access to our company's shared agent infrastructure, but the role goes far beyond configuring existing components. Many use cases will require new reasoning methods, agent architectures, evaluation techniques, data strategies, or model behavior. This is a role for someone who enjoys applied research but is motivated by outcomes. The goal is not simply to prove that an idea can work, it is to make it useful and reliable for customers.
What You'll Do:
Design and implement AI solutions for complex cybersecurity workflows.
Develop new approaches for agent reasoning, planning, tool use, context management, decision-making, and recovery from failures.
Determine the right technical approach for each problem, combining models, algorithms, data, and conventional software where appropriate.
Define quality for each use case and create evaluations that measure correctness, task completion, consistency, safety, latency, and cost.
Analyze agent behavior deeply, identify the underlying causes of failures, and improve the relevant model, data, tool, or architecture.
Collaborate with cybersecurity experts, product teams, software engineers, and AI infrastructure engineers throughout development.

We're looking for a Talent Operations Partner to be the backbone of our HR operations in Israel: the person who keeps processes, systems, and data running accurately behind the scenes while also being a trusted, responsive presence for employees and managers day to day. This is a role for someone who thrives on structure and precision in a fast-moving, high-volume environment, and who takes real ownership of making HR operations scalable, auditable, and reliable across a large, complex, multi-country organization. Just as important as the operational rigor is the human side of the role: you're approachable, people-oriented, and genuinely enjoy helping others, bringing a customer-focused mindset to every interaction so employees and managers alike feel heard, supported, and well taken care of.



As a Talent Operations Partner, you will own the processes, systems, and data infrastructure that keep HR running accurately and efficiently, while also serving as a trusted, approachable point of contact for employees and managers.



You will:

Own and continuously improve HR processes and workflows across the employee lifecycle (onboarding, offboarding, transfers, contracts, benefits, payroll operations including time attendance), ensuring they are documented, standardized, and scalable across the organization.
HRIS: maintain accurate employee data, configure and troubleshoot workflows, run regular data integrity audits.
Manage multiple concurrent HR operations priorities and deadlines - payroll cycles, audits, compliance filings, benefits enrollment, reporting - without dropping details, in a fast-moving, high-volume environment.
Prepare, maintain, and quality-control HR documentation, reports, and employee records, with strong attention to accuracy and auditability.
Ensure compliance with local labor laws and company policy, translating requirements into clear guidance and system/process updates for stakeholders.
Serve as the primary, approachable point of contact for employees and managers on HR matters, bringing a customer-focused mindset to every interaction and ensuring a positive, responsive employee experience.
Plan and implement employee welfare and engagement activities.
Contribute to the design, documentation, and rollout of HR policies and process improvements.
Provide ad-hoc support to the EMEA HR team as needed.

We are looking for a DevOps Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a DevOps Engineer to build the backbone of our autonomous security platform. You will manage the infrastructure that powers our Agentic AI workflows, ensuring high performance, scalability, and security for systems that operate independently.
What You'll Do:
Build and scale our cloud infrastructure to support high-throughput AI-driven workloads.
Manage and optimize the production environment for autonomous agent workflows.
Design and maintain robust CI/CD pipelines for fast and reliable deployments.
Monitor system health, scalability, and costs in a complex security environment.

Were looking for a DevOps Engineer to join the R&D team and spread our power. In this role, you will design and implement scalable systems that will keep us running smoothly and support our significant business growth. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
Responsibilities:
Take an active part of all DevOps areas: our infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

we are looking for a Channel Sales Acct Manager - IS
Job Responsibilities

Strategic Joint Business Planning: Co-develop, execute, and continuously refine long-term Go-To-Market (GTM) and joint business plans with assigned partners, setting clear revenue targets, joint marketing initiatives, and operational milestones.
Partner Relationship & Account Management: Establish and maintain high-level, productive relationships with executives, sales leaders, and technical teams across assigned strategic partner accounts.
Enablement & Certification Driving: partner enablement to build technical self-sufficiency, ensuring partner sales and pre-sales engineering teams achieve required Fortinet certifications to support the GTM and business plans
Pipeline Creation & Accurate Forecasting: Maintain end-to-end visibility of the partner deal pipeline, enforcing strict Salesforce (SFDC) hygiene, accurate sales forecasting, and active participation in key sales cycles.
Distributor & 2-Tier Alignment: Coordinate closely with Distribution resources (sales, technical support, marketing) to maximize territory coverage
Channel Governance & Conflict Resolution: Proactively manage territory deal registration, resolve channel rules-of-engagement conflicts transparently, and enforce strict adherence to Fortinet channel program guidelines.
Cross-Functional Orchestration: Mobilize internal Fortinet resources-including Systems Engineers (SEs), marketing, professional services, and executive leadership-to support critical partner opportunities.

Were looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.
Check out some of our recent research:
PostgreSQL Cryptomining
SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps
PyLoose: First Python-based Fileless Attack on Cloud Workloads
Responsibilities:
Work on a world-class runtime security solution affecting some of the largest cloud workloads.
Work closely with engineering and research to enable new and better threat detection capabilities.
Build and extend our research infrastructure, automated testing infra and release processes.
Conduct research and develop new detection capabilities, from concept to implementation.
Constantly shift things from an art to a science - make the hard things easy, fast and scalable.
Quickly address gaps and changes when needed. Bias towards action.
Analyze, debug and solve problems in test, staging and production environments.
Create and enforce best practices and security policies.
Work with customers in response to requests and questions when needed.

e are currently seeking a dynamic Incident Response Analyst to contribute to the success of our rapidly growing business.



As an Incident Response Analyst, you will:

Investigate and respond to workspace security incidents across email, browser security and perimeter security domains.
Handle investigation requests submitted by customers
Perform targeted phishing analysis and investigation of new attack campaigns
Conduct threat hunting based on attack patterns, behaviors, and indicators
Build and improve detections based on new attack types, tactics, companies and trends
Collaborate with development and research teams to provide incident-driven insights, and develop new detection engines for identifying previously unknown attacks
Write professional blog posts based on incident investigations and attack trends, contributing to the companys research-driven content and public visibility
Work in rotating shifts as part of a 24/7 operation (including nights, weekends, and holidays)

We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.