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We are looking for an experienced IT Manager with 10+ years of expertise, strong customer service orientation, and a broad understanding of IT domains. The ideal candidate will have deep knowledge of cloud services and automation.
Responsibilities
Lead and manage a team of 4 professionals.
Build, maintain, and operate on-prem and cloud infrastructure supporting internal labs and engineering/product needs.
Design and manage environments simulating customer setups using diverse technologies:
Thousands of VMware-based virtual machines (primarily Windows, some Linux).
Storage systems such as NetApp, EMC, and others.
VRA environments.
Tanzu Kubernetes Grid (TKG) infrastructure.
Additional technologies as required.
Co-manage cloud-based infrastructure (AWS, GCP, Azure) for development purposes, including POCs and environment simulations.
Monitor budgets and expenses.
Support development and product teams.
Manage licenses.
Administer M365 tenants for lab purposes.
Develop automation scripts using PowerShell or other scripting languages.
Collaborate with multiple internal teams - development, support, and product management - to address ongoing needs.

We seek an analytically driven and strategic Revenue Operations Manager to join our team. This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

Key Responsibilities:

Data-Driven Insights & Analytics

Serve as a trusted advisor to C-level executives, delivering regular, actionable insights based on in-depth analysis of key revenue, customer, and operational data.
Develop and maintain revenue forecasting models and predictive analytics to proactively identify opportunities, risks, and trends.
Analyze customer behavior, pipeline performance, and market data to recommend growth and operational improvement strategies.
Create and maintain dashboards and reports that provide visibility into KPIs covering the revenue funnel as well as customer-focused metrics such as churn, retention, and upsell opportunities.

As organizations rapidly adopt AI assistants, copilots, agents, and autonomous workflows, they face new risks that traditional security tools cant address. we are building the industrys first fully autonomous Data Security Platform and defining the emerging category of AI Security. Were looking for an exceptional Product Manager to help build the next generation of AI Security products - identifying emerging challenges, shaping product strategy in a rapidly evolving market, and working with customers, CISOs, engineers, researchers, and executives to guide how enterprises securely adopt AI at scale.
If youre passionate about AI and experienced in building security products, this is your chance to influence a category thats only beginning to take shape.
How We Build Products
Our team operates differently:
Customer obsessed, not customer informed
Think in bets, not specs
Say no to protect yes
Urgency as default - fail fast, iterate
Own the interfaces
Be a product builder, not a roadmap manager
Responsibilities
Define and own product vision, strategy, and roadmap for AI Security
Drive products from concept through launch and adoption
Partner with engineering, data science, security research, and design
Work directly with customers, CISOs, analysts, and industry leaders
Translate customer needs, risks, and market insights into differentiated capabilities
Evaluate emerging AI technologies and turn innovation into customer value
Influence product and company strategy in a fast‑growing cybersecurity domain.

We're seeking a Senior Application Security Engineer who comes from a genuine software engineering background - someone who has designed, written, shipped, and maintained production code and then moved into security (or wants to formalize that move). You'll join the CISO organization as the security backbone of our R&D engine: owning the Secure SDLC end-to-end, embedding security into every stage of development, and partnering with R&D, DevOps, Architecture, and Product so that every line of code and every feature we ship - including our AI capabilities - meets the highest security standards.

This is a high-impact, hands-on role reporting directly to the CISO, with a clear growth path to AppSec Lead and exposure to GRC, cloud, and AI security.

What Youll Do

Secure SDLC & Application Security

Own and continuously evolve Secure SDLC (SSDLC), integrating security gates from design to deployment.
Lead threat modeling (STRIDE / PASTA / attack trees) for new features, architectural changes, and AI components.
Perform and oversee secure code reviews, design reviews, and security architecture reviews - and pair directly with developers on remediation, reference fixes, and reusable secure patterns / "paved-road" libraries.
Manage and operate the SAST, DAST, IAST, SCA, and secret-scanning stack; tune rules, triage findings, drive remediation, and reduce noise.
Define and enforce AppSec policies, secure-coding guidelines, and standards aligned with OWASP Top 10, ASVS, and SAMM.
Software supply-chain security: SBOM generation/analysis, open-source component risk, and dependency hygiene across R&D.

We are looking for a Senior Product Manager to lead this evolution - building scalable, accurate, and context-aware classification capabilities.
At our company, we protect data from the inside out - helping organizations understand where sensitive data exists, who can access it, and how it is used.
Data classification is at the core of this mission. It is evolving from traditional detection into a more advanced, AI-driven capability that enables deeper understanding across structured and unstructured data.
Responsibilities
Own the product lifecycle end-to-end: strategy, roadmap, delivery, and launch
Define and drive the vision for data classification and data understanding
Gather and prioritize requirements through customer and market insights
Work closely with Engineering, Data Science, Sales, and other stakeholders
Focus areas
Evolve classification from pattern-based detection to AI-enhanced capabilities
Balance accuracy, performance, scalability, cost, and privacy
Translate complex data behavior into simple, usable product features
Improve classification quality and coverage across large-scale environments.

our company MDR delivers 24x7x365 managed detection and response services, protecting customer data through advanced detection, investigation, and response at scale.
We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters.
As a DFT Engineer at our company, you will be at the intersection of architecture, design, and production. You won't just run tools-you will be a foundational member of the team responsible for the entire lifecycle of our silicon's reliability. From defining initial DFT architecture to supporting post-silicon bring-up, your work ensures that the backbone of AI infrastructure connectivity is flawless and scalable. If you thrive on solving complex challenges in deep-submicron processes and want to establish world-class DFT methodologies, this is your opportunity.
Key Responsibilities
DFT Architecture & Strategy
Be part of the DFT journey from high-level architecture definition and RTL design to backend implementation and post-production support
Develop comprehensive Design-for-Testability (DFT) strategies for next-generation connectivity platforms, ensuring chips meet the highest quality standards
Design and implement DFT architectures including JTAG/iJTAG, MBIST, Scan, and ATPG for high-end devices
Test Pattern Development & Optimization
Generate and optimize high-quality test and debug patterns for production
Perform Static Timing Analysis (STA) for DFT modes and conduct gate-level simulations to ensure robust performance
Drive test coverage and quality metrics to meet stringent manufacturing requirements
Cross-Functional Collaboration & Methodology Innovation
Act as a multidisciplinary bridge, collaborating closely with Architecture, Verification, and Backend teams to ensure seamless integration and optimal QoR
Participate in developing and maintaining cutting-edge DFT implementation flows
Automate and improve methodologies using advanced scripting and tools.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Expert IC Package Design Lead to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, leading the physical implementation strategy for chips that power the world's largest AI clusters.
As an Expert IC Package Design Lead, you will be a core technical contributor in the development of advanced IC packaging solutions for high-performance connectivity silicon.
You will own package flow, architecture, design, and qualification from concept through production, working closely with silicon, signal integrity, power integrity, mechanical, manufacturing, and external OSAT partners.You will be responsible for defining package technologies that meet aggressive electrical, thermal, mechanical, and cost targets, enabling our companys products to operate reliably in the worlds most demanding AI and cloud environments.
Key Responsibilities
Own end-to-end IC package design, from early architecture and feasibility through detailed design, qualification, and high-volume manufacturing
Define package architecture and technology selection (organic substrates, advanced laminate, interposers, multi-die/chiplet packaging, CoWoS - 2.5D/3D integration)
Lead signal integrity (SI), power integrity (PI), and thermal considerations at the package level for high-speed, high-power devices
Drive package layout, substrate routing, bump/ball maps, stack-ups, materials selection, and mechanical constraints
Collaborate closely with silicon design, SerDes, system, SI/PI, and reliability teams to optimize overall product performance
Interface with OSATs, substrate vendors, and manufacturing partners to ensure design-for-manufacturability (DFM), yield, and cost targets
Lead package-related risk assessment, failure analysis, and corrective actions during bring-up and production ramp
Support NPI, qualification, and product sustainment activities, including vendor audits and technical reviews.