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Data has never been more valuable, and more vulnerable. As cyber threats evolve and regulations tighten, organizations struggle to answer one key question: Is my data secure?
At our company, we take a different approach: we protect data from the inside out. Our fully autonomous Data Security Platform enables organizations to continuously reduce risk through intelligent automation, not manual effort.
Were looking for an experienced R&D Group Leader to lead the Remediation domain, owning the systems that actually fix risk at scale, from policy definition to automated execution across customer environments.
This role sits at the heart of our companys value: turning insights into real, safe, automated actions that reduce exposure across enterprise data.
We work in a flexible, hybrid model.
What Youll Do
Leadership & Ownership
Lead and grow a group of engineers responsible for Data Lifecycle Automation (DLA), policies framework, and remediation automations
Own delivery, quality, and operational excellence of production systems running at scale
Define technical direction aligned with product and business goals
Product & Impact
Drive development of customer-facing remediation capabilities (e.g., permissions cleanup, stale access removal, exposure reduction)
Partner closely with Product, Security, and Customer Success to maximize real-world risk reduction outcomes
Translate complex security problems into scalable, automated solutions
Architecture & Systems
Own the design of distributed, highly scalable microservices handling policy evaluation, recommendation generation, and action execution
Ensure high reliability for real-time / near-real-time remediation flows
Drive best practices across CI/CD, observability, testing, and system resiliency
Enhance the execution of dev velocity and efficiency of leveraging AI agents.
Execution & Scale
Manage full lifecycle: ideation → design → production → customer impact
Balance innovation with operational stability in a fast-moving SaaS environment
Lead cross-team initiatives across Platform, access, Privacy, and AI domains
People Leadership
Mentor managers and senior engineers
Build a strong engineering culture focused on ownership, quality, and impact
Recruit and develop top-tier talent.

You'll sit inside the marketing team and work closely with product marketing, demand gen, and growth. You'll be the person in a campaign review who surprises the room with a concept that's unexpected and airtight, because you got there through insight, not instinct alone. The briefs will range from paid social to landing pages, from product launches to brand campaigns. What stays constant is the expectation: every piece of creative you touch must be grounded in insight, brand clarity, and performance intent.

What you'll do

Crack briefs before they're handed to you. Translate market intelligence, customer insight, and competitive context into creative direction that's specific and actionable.
Develop campaign concepts end-to-end: the idea, the narrative, the execution plan.
Push the creative further than the brief asks. Know when a concept is good enough and when it can be sharper.
Build creative assets yourself: ads, landing pages, scripts, social content, campaign visuals.
Work across formats and channels, from static paid creative to video scripts to long-form brand content.
Maintain high output quality even when deadlines compress. Pace and craft are not a trade-off here.
Use performance data to inform creative decisions. Know what's converting, what's not, and why.
Bring data into the brief stage, not just the retro. Let it sharpen the concept before production begins.
Develop an instinct for what works in a B2B SaaS context without defaulting to what's safe.
Use AI tools as a genuine force multiplier: for ideation, concept exploration, copy generation, visual references, and production acceleration.
Stay ahead of what's possible. Bring new capabilities into the team's workflow before they become obvious.
Maintain craft standards as AI scales output. Volume is not the goal. Quality at volume is.
Keep creative work on-brand at pace. Know the guardrails well enough to move fast without losing coherence.
Work closely with PMM to ensure creative reflects the right message for the right audience.
Align creative direction with multiple stakeholders without letting the work get diluted by committee.

We're looking for a Design Technologist to join our Design team. This role sits at the intersection of Product Design, AI, and Product Development. You'll help shape complex product experiences while building workflows and ways of working that enable design and engineering to move faster together.

This is not a software engineering role. We're looking for a product designer with strong technical curiosity, a builder mindset, and a passion for improving how products are designed and built.

What you'll do

Drive UX and product design for complex workflows and product areas

Partner closely with Product Managers and Engineers throughout the product development process

Help evolve our design system and design infrastructure

Work comfortably with code, component libraries, and engineering environments to bridge design and implementation

Explore, define, and scale AI-powered workflows across the design team

Evaluate new tools and approaches that improve collaboration between design and engineering

Help the team adopt more efficient, flexible, and modern ways of working

we're looking for has probably led a repositioning. Has built a messaging framework that held up under pressure from Sales and Product. Has grown people who went on to lead their own functions. And is already thinking about how AI changes what a content team can produce, and what it takes to make that output trustworthy.

One thing worth knowing: this team owns the content infrastructure that feeds AI-powered marketing engine. In a world where AI generates content at scale, the quality of the inputs determines the quality of everything downstream. That's not a technical problem; it's a leadership and editorial one. And it sits with you.

What you'll do

Own messaging framework, which is the single source of truth for how the company talks about what it does and why it matters.
Build and maintain persona-level, product-level, and industry-level positioning that holds up in the field, including in a sales conversation, an analyst briefing, a paid campaign, or a press interview.
Translate product releases, market shifts, and competitive moves into messaging updates that reach every function fast.
Own brand identity: visual standards, tone of voice, brand book, asset templates, and 10x our creative output.
Own the communications and PR strategy, specifically how shows up in press, analyst relations, and industry conversations.
Activate these narratives across every channel, in collaboration with Growth, to drive pipeline and brand awareness.
Grow and nurture your team, empowering them to achieve their targets and career goals.
Operationalize AI across every key content, creative, and GTM process.

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 are looking for a highly skilled and relationship-driven Junior Partner Technical Account Manager (TAM) to serve as the dedicated technical liaison for our premier Israeli partner, Consist.

What You'll Do

Sole Technical Point of Contact: Serve as the exclusive technical escalation point and strategic advisor for the Consist team, managing all complex issues, technical inquiries, and high-priority roadblocks.
Master of Customer Infrastructure: Develop a comprehensive understanding of the diverse architectures, IT environments, and unique business needs across Consists portfolio of 500+ end-customers.
Internal Advocacy & Prioritization: Serve as the voice of Consist and their customers . Liaise directly with our R&D and Product teams to push for faster prioritization of critical bug fixes, escalate pressing issues, and champion necessary feature requests.
Implementation & Best Practices: Guide the Consist team on best practices for Spaces and Copilot implementations. Proactively identify ways to optimize configurations, streamline deployments, and ensure their customers are extracting maximum value from our platform.
Strategic Engagements: Conduct regular syncs and technical workshops with the Consist team. Additionally, participate in joint meetings alongside Consist with their key end-customers to provide high-level architectural guidance and executive technical support.
Enablement & Knowledge Transfer: Empower Consist's L1 support and technical teams by sharing advanced troubleshooting techniques, product updates, and roadmap insights to help them serve their customers more effectively.

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.