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We're looking for a full-cycle SDR to drive growth across our product suite. You'll own the entire sales motion - from the first cold call to close - as you upsell and cross-sell the company Convert plan and Reviewers.com to Shopify merchants.

This isn't a traditional lead-gen SDR role. You'll be the direct link between our merchants and our Product and Marketing teams, turning every call into an opportunity - whether that's a merchant upgrading their plan, one who churned telling us why, or a new merchant discovering Reviewers.com for the first time.

If you're a self-starter who loves to sell, enjoys owning a process end to end, and is comfortable digging into data to sharpen your approach, we'd love to meet you.
As a Full Cycle SDR at our company, you will:
Cold call Shopify merchants to upsell and cross-sell the Convert plan and Reviewers.com.
Call merchants who uninstalled the app or haven't yet selected a plan to understand why and gather feedback.
Run demo calls for Reviewers.com, showcasing its value to prospective merchants and helping them create their first campaign.
Synthesize merchant feedback and share clear, actionable insights with our Product and Marketing teams.
Analyze call and pipeline data to identify trends, spot opportunities, and continuously improve conversion.
Run the day-to-day operations of the sales effort, including pipeline management, tracking, and reporting.
Sunday: OFF
Monday: 10:00 - 19:00 in office in Ramat Gan
Tuesday: 14:00 - 23:00 work from home
Wednesday: 14:00 - 23:00 work from home
Thursday: 10:00 - 19:00 in office in Ramat Gan
Friday: 9:00 - 18:00 work from home

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our companys Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

Were looking for a Senior Backend Engineer to join our companys R&D team and help define the future of endpoint security.
Youll join a small, high-caliber engineering team that builds the services and data platforms powering our companys product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.
What You'll Do
Build and own backend services and microservices using Python and Go.
Design schemas, run migrations, and build the analytics layer on ClickHouse.
Deploy and operate services on AWS + Kubernetes
Improve reliability, performance, and observability; participate in design/code reviews.
Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.
Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.
Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

We're looking for a Senior Frontend Engineer to join our company's R&D team and help define the future of endpoint security.
You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our company's platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.
What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.
Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.
Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.
Drive features end-to-end, from design and implementation through testing, release, and production.
Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.
Help shape and evolve our design system and shared component library.
Improve frontend performance, scalability, and developer experience.
Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

We're looking for an exceptional Senior Software Engineer to join the team building our company's Endpoint Agent.
This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.
You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.
If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.
What Youll Do
Design and build core capabilities for our company's Endpoint Agent.
Develop high-performance software in Rust and C++ that runs directly on customer endpoints.
Build features that interact closely with Windows and macOS internals.
Work across backend services and endpoint components to deliver end-to-end functionality.
Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.
Build reliable, production-grade software with performance, stability, and security in mind.

Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream.

We are seeking an experienced and highly motivated Team Lead to lead our Data Infrastructure team. This role is responsible for managing a team of engineers while driving the design, scalability, reliability, and operational excellence of the companys core data platform.
The ideal candidate combines strong technical expertise in distributed systems and data technologies with proven leadership capabilities, strategic thinking, and the ability to lead complex initiatives end-to-end - from initial design and planning through implementation, deployment, and production ownership.
Key Responsibilities:
Lead, mentor, and develop a team of Data Infrastructure engineers, fostering a culture of ownership, collaboration, and continuous improvement
Define and execute the technical roadmap for the organizations data infrastructure platform
Oversee the architecture, scalability, reliability, and performance of large-scale data systems and pipelines
Define and drive data quality standards, monitoring, and validation processes to ensure trust and reliability across the data platform
Partner with engineering and product teams to enable scalable data foundations for analytics, machine learning, and AI-driven initiatives
Lead cross-functional technical initiatives end-to-end, including requirements gathering, architecture design, implementation, deployment, and post-production ownership
Partner closely with cross-functional teams including Data Engineering, Analytics, Backend Engineering, DevOps, and Product Management
Drive operational excellence through monitoring, observability, automation, and incident management best practices
Ensure high availability and stability of critical production systems
Lead technical design discussions, architecture reviews, and engineering planning processes
Establish and promote engineering standards, development best practices, and quality assurance processes
Manage project prioritization, resource allocation, and timely delivery of strategic initiatives
Support recruitment, onboarding, performance management, and career development of team members
Evaluate emerging technologies and recommend improvements to the data platform ecosystem

Our Cybersecurity Risk & Resilience is expanding its product team and looking for a Product Manager to help shape our enterprise-grade cybersecurity platforms. This role is ideal for a hands-on product leader who thrives in fast-paced, iterative environments and wants to drive real impact in the world of cyber risk and resilience.
Our flagship product is Cyber Quant, an AI and data-driven cyber risk quantification platform that continuously analyzes an organizations security posture against real-world threat intelligence. By integrating with existing security controls, ingesting contextual business data, and automating risk modeling, the platform delivers precise, actionable insights that help organizations prioritize threats, quantify their potential business impact, reduce risk, and measure the effectiveness of mitigation strategies.
You will lead strategic product management, focusing on market understanding, customer communication, business enablement, roadmap execution, AI implementation, stakeholder alignment, and cross-functional orchestration.
Your role centers on ensuring the products long-term vision and strategic positioning, as well as assuming the role of product teams cyber threat intelligence expert.
Responsibilities:
Collect and synthesize customer, partner, and internal stakeholder product feedback
Influence roadmap themes, feature goals, and high-level functional direction
Build strategic business justifications for major initiatives
Represent product strategy to senior leadership, regional business groups, and broader organizational audiences
Lead feature definition, including goals, value proposition, and high-level capabilities
Assume the role of product teams subject-matter expert on the topic of cyber threat intelligence (CTI)
Engage other team subject-matter experts to validate relevant feature feasibility and constraints; synthesize input into clear guidance for the R&D organization
Meet regularly with regional business leaders, customers, and partner PMs
Conduct high-level stakeholder outreach to validate product direction
Manage communication with sales and marketing for positioning and documentation
Own legal, compliance, and internal governance processes
Maintain relationships with third-party providers and ensure required agreements and reviews are completed. Guarantee that feature releases comply with internal and external regulatory expectations

We are looking for a Senior Technical Program Manager to help drive execution, alignment, and delivery across our Product House organization. This role sits at the intersection of Product, R&D, and leadership, ensuring that strategy is translated into clear, realistic, and executable plans.
The Senior Technical Program Manager will lead complex cross-functional programs, enable quarterly planning and execution cadences, manage dependencies and risks, and create transparency through dashboards, KPIs, and operating rhythms. In this role, the candidate will join a team of Technical Program Managers who work in close coordination, share methodologies, and continuously improve common practices across the organization. The ideal candidate brings strong technical understanding, structured program leadership, excellent stakeholder management, and the ability to move teams from ambiguity to accountable execution.
Role:
Translate strategy into execution: Partner with Product and R&D to convert product strategy, technical initiatives, and other priorities into clear quarterly execution plans.
Lead quarterly planning: Facilitate planning timelines, deliverables, ownership, dependencies, and risks across Product Area teams.
Drive cross-functional alignment: Align Product and R&D Directors, Architects, DevOps, Security, and leadership around shared priorities, scope, timelines, and tradeoffs.
Manage dependencies and risks: Identify cross-product and technical dependencies early, surface delivery risks, drive mitigation plans, and ensure leadership has the visibility needed to make timely decisions.
Create execution transparency: Establish dashboards, reporting mechanisms, and operating cadences that provide visibility into progress, delivery confidence, blockers, and outcomes.
Improve ways of working: Help mature Agile operating model, planning templates, ceremonies, and delivery governance to improve predictability, accountability, quality, and business impact.
Support backlog health: Partner with Product and R&D to ensure quarterly backlogs are prioritized, refined, estimated, technically aligned, and executable within team capacity.
Facilitate decision-making: Bring structure to complex discussions, clarify ownership, document decisions, and ensure follow-through on action items.
Enable value-driven delivery: Connect execution plans to measurable business, technical, and customer outcomes, including quality, productivity, engagement, velocity, and customer value.
Communicate effectively: Prepare concise, executive-ready updates, program reviews, status reports, retrospectives, and planning materials for Product House and senior leadership forums.
End Date: 24/9/26.

We are seeking a Senior Software Engineer with a strong foundation in backend engineering and experience building scalable, high-performance systems.
This role focuses on designing and developing backend services that power our **AI-driven products**, with extensive work on **Large Language Models (LLMs), AI agents, and modern GenAI technologies**.
We foster a professional environment where experienced engineers collaborate to drive technical excellence and continuously improve our architecture and products. As a Senior Software Engineer, you will play a key role in building production-grade AI systems, solving complex engineering challenges around scalability, performance, reliability, and AI orchestration.
Role & Responsibilities:
* Design, develop, and optimize scalable backend services and APIs that power AI-driven products.
* Build production-grade applications and workflows using **LLMs, AI agents, and GenAI technologies**.
* Design and implement agentic workflows, including **tool calling, orchestration, context management, and integration with internal services**.
* Integrate and optimize LLM-based capabilities while balancing **quality, latency, reliability, and cost**.
* Design and maintain scalable, reliable, and high-performance distributed systems.
* Take ownership of technical solutions from design and implementation through deployment and production monitoring.
* Improve system architecture, observability, code quality, and development processes.
* Collaborate with Product, DevOps, and other engineering teams to deliver end-to-end solutions.
* Stay up to date with advancements in backend technologies and the rapidly evolving GenAI ecosystem.

We are seeking an experienced Lead Software Engineer (Backend & AI) to drive the design, development, and scaling of advanced backend systems and AI-powered solutions.
In this role, you will combine deep backend engineering expertise with strong AI understanding, leading a team to deliver high-performance, data-driven products. You will play a key role in shaping system architecture, integrating AI capabilities, and ensuring production-grade reliability at scale.
Key Responsibilities:
*Technical Leadership*
Lead the architecture and development of scalable backend systems and APIs
Design and implement AI-driven features, including AI model integration and inference pipelines
Define and enforce best practices for distributed systems, data processing, and system reliability
Own end-to-end system design, including performance, scalability, and security
*AI & Data Engineering*
Collaborate with data scientists/AI engineers to deploy, optimize, and monitor AI models in production
Build and maintain data pipelines and infrastructure supporting AI workloads
Ensure efficient model serving, versioning, and lifecycle management
Optimize performance of AI components (latency, cost, scalability)
*Team Leadership & Mentorship*
Lead, mentor, and grow a team of backend and/or full-stack engineers
Foster a strong engineering culture aligned with Israeli tech ecosystem standards (ownership, fast iteration, innovation)
Conduct code reviews and provide technical guidance
*Delivery & Execution*
Partner with Product, Data, and Business teams to define technical solutions
Drive end-to-end delivery of complex projects in a fast-paced environment
Break down ambiguous problems into actionable plans
Ensure timely and high-quality releases
Cross-Functional Collaboration
Work closely with AI teams, DevOps, Architects and Product
Translate business needs into robust technical solutions
Communicate complex technical topics to non-technical stakeholders