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we are looking for a Software Developer Team Lead to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security industry. We provide innovative solutions to securing the whole organization-to-SaaS surface.
Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
About the Role :
We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.
Key Responsibilities :
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data engineer in the Datalabs team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom data labs. The Datalabs departments business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class data labs.
So, what will you be doing all day?
Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.

As a Senior Product Manager on the Cortex XDR team within our companys Cortex offering, you will play a critical role in shaping the future of endpoint security. In this role, you will lead the development and execution of product strategy, working closely with cross-functional teams to ensure the success of our cloud workload protection solutions.
Your Impact
Defining and owning the product roadmap for Cortex XDR agent, 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.

We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, our eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.

Were looking for a Multi-Brand Social Growth & Community Manager (B2C) to build, scale, and operate the social presence, communities, and growth engines of multiple consumer brands across global markets.
This is not a standard social media role.
It is not about managing one brand page, one geography, or one content calendar. This is a RARE opportunity to shape social strategy, community infrastructure, creator programs, and scalable growth systems across multiple B2C products, multiple platforms, and multiple audience segments inside a unique organisation.
The right person for this role lives and breathes social. They understand internet culture, creator ecosystems, platform behaviour, community psychology, and the technologies that power modern social operations. They think like a builder, act like an owner, and know how to take something from 0 to X with real proof to show for it.
Why is this role so important?
Youll work across multiple B2C brands and global audiences, requiring both strategic thinking and strong execution. Youll build social and community capabilities for products serving tens of millions of users, collaborating across marketing, creative, product, and analytics teams. The role goes beyond posting; focusing on community building, creator ecosystems, scalable systems, experimentation, and measurable growth impact.
What will you be doing all day:
Build and grow social media communities across multiple B2C brands and platforms
Own the social & community engine end-to-end: strategy, content, publishing, engagement, and optimization
Develop and execute global social, influencer, and creator strategies across different markets and audiences
Create and manage content calendars aligned with brand, product, and business goals
Identify, recruit, and manage influencers, creators, ambassadors, and partners
Build scalable playbooks, frameworks, and workflows across multiple brands
Spot trends and turn them into relevant, high-impact content opportunities
Collaborate closely with marketing, product, analytics, and creative teams
Analyze performance and continuously optimize for growth, engagement, and impact
Use AI and modern tools to improve content creation, workflows, and insights
Monitor conversations, sentiment, and risks, and act quickly when needed.

The ASPM group is pioneering a new era of Application Security. By blending rapid innovation with real-world customer insights, we are building a transformative platform designed to obsolete legacy challenges and redefine the AppSec standard.
Join the ASPM group as a Senior Backend Developer where youll have a direct hand in shaping our technical roadmap. Were deep in the GCP/K8s/TypeScript ecosystem, building a security product that actually solves field problems. We need someone who is passionate about clean, cloud-native architecture and ready to lead technical initiatives.
Key Responsibilities
Be a key contributor to designing and building our cloud-native platform that secures the modern software development ecosystem, focusing on application security posture (ASPM).
Own complex backend features from concept to production, directly shaping the core infrastructure and services of this critical security offering.
Partner with product managers, architects, and engineers to deliver impactful, high-quality security solutions to our customers.
Continuously evaluate and adopt new tools and technologies to improve development velocity and enhance the capabilities of our product.
Be an advocate for clean code, scalable architecture, and strong engineering practices.

We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The Job:
As a Senior QA Engineer, you will play a central role in ensuring the quality of our software by guiding, supporting, and implementing a shift-left approach. You will take ownership of quality end-to-end - from early feature design through implementation to delivery - actively collaborating with developers to integrate testing practices earlier in the development lifecycle.
You'll design and execute comprehensive test plans, build and maintain automation frameworks, and integrate with complex, diverse system flows. Your work will directly impact product reliability, stability, and performance. You'll collaborate closely with Product, R&D, and Sales & Customer Success teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
This role offers significant room to improve and optimize how quality is delivered at scale - whether by refining processes, introducing smarter workflows, or leveraging tools like AI to make testing faster, broader, and more impactful.

Required Senior AI Product Manager - Sales Intelligence
The Most Interesting Corner:
We reveal everything that happens online. But in the Sales Intelligence (SI) department, we dont just show data-we make it act.
Think of SI as a high-growth startup embedded within a data giant. We sit on top of one of the world's most sophisticated datasets, but we operate with the speed, agility, and "build-it-ourselves" mentality of a day-one venture. We aren't just building another B2B dashboard; we are redefining the "B2C-style" experience for the modern seller.
Why this role is a game-changer:
Most sales tools are built for managers and "Ops" (the backbone). This role is for the Salesperson. Your mission is to build the "Superpower Suite" for Sales Persons, SDRs, Account Executives, and CSMs. We are on a crusade to delete the admin work that every salesperson hates. If a task is "boring," "manual," or "admin-heavy," your job is to build an AI product that does it for them-so they can get back to what they love: winning deals.
How we build with AI:
We don't just talk about AI; we live in it. The SI department is a playground for builders.
The Stack: We are deeply embedded with tools like Claude, Cursor, and AI-driven code/design workflows.
Rapid Prototyping: We build our own prototypes and products in-house, collaborating tightly with a world-class R&D team that moves at lightning speed.
Agentic Future: We are moving beyond simple automation. You will define the strategy for AI Agents and AI Skills-autonomous systems that can research prospects, handle "boring" outreach, and deliver real-time "what to say next" cues during live calls.
A day in the life...
Hustle Research: Deep-dive with Sales and CSM teams to find the friction. If theyre spending 2 hours a day on "manual research," youre there to turn that 2 hours into 2 seconds.
B2C Mindset in B2B: Design tools that are as addictive and intuitive as your favorite consumer apps. If its not a joy to use, its not finished.
AI Orchestration: Lead the charge on Agentic Workflows. Youll define how AI "skills" (like predictive lead scoring or automated prospect discovery) fit into a seamless seller journey.
Cross-functional "Startup" Mode: Partner with data scientists to turn complex signals into simple "buying cues" while acting as the bridge between "what's possible" and "what's usable."

The ASPM group is pioneering a new era of Application Security. By blending rapid innovation with real-world customer insights, we are building a transformative platform designed to obsolete legacy challenges and redefine the AppSec standard.
Join the ASPM group as a Senior Backend Developer where youll have a direct hand in shaping our technical roadmap. Were deep in the GCP/K8s/TypeScript ecosystem, building a security product that actually solves field problems. We need someone who is passionate about clean, cloud-native architecture and ready to lead technical initiatives.
Key Responsibilities
Be a key contributor to designing and building our cloud-native platform that secures the modern software development ecosystem, focusing on application security posture (ASPM).
Own complex backend features from concept to production, directly shaping the core infrastructure and services of this critical security offering.
Partner with product managers, architects, and engineers to deliver impactful, high-quality security solutions to our customers.
Continuously evaluate and adopt new tools and technologies to improve development velocity and enhance the capabilities of our product.
Be an advocate for clean code, scalable architecture, and strong engineering practices.

Grip Security is looking for a Senior Data Platform Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today - to govern the accessibility of all their employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and ensure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI security field is complex and challenging; therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Platform Engineer, you will play a key role in building and evolving Grips modern data platform - the infrastructure that powers product features and analytics across the company.
You will focus on designing and operating scalable, reliable data systems and platform tooling that support our Data Lakehouse, enabling engineers, analysts and research teams to work with data efficiently and with minimal friction.
Responsibilities:
Design, build and operate a cloud-native modern data platform.
Develop and optimize data processing frameworks and pipelines across batch and streaming workloads.
Improve developer experience and platform usability through tooling and automation.
Lead and support large-scale data migrations and architectural improvements.
Drive best practices around infrastructure, CI/CD, testing, and system design.
Collaborate with developers, analysts, data scientists and other stakeholders to develop new products and features.
Contribute to a strong engineering culture of ownership, learning, and knowledge sharing.

Were looking for a Product Marketing Manager to own the go-to-market strategy for our data and AI product portfolio: APIs, MCP, data feeds, integrations, and our own AI-powered products, including AI Studio, our natural language analytics tool. Our data already feeds into platforms like ChatGPT, Claude, and Cursor, and demand is accelerating as more enterprises build AI-powered workflows that depend on real-world digital intelligence.
Our data is our biggest competitive advantage. No other company offers the same breadth, depth, and granularity of digital intelligence, covering web traffic, app usage, search behavior, and consumer trends across virtually every market and geography. The opportunity here is massive: youll be marketing a product that the market is actively looking for, at the exact moment when AI is reshaping how businesses consume and act on data.
Your audience is data-savvy: buyers and users who evaluate products based on data quality, methodology, coverage, and integration fit. They care about substance over packaging. Youll need to match that mindset, balancing creative storytelling with real technical fluency to earn their trust and drive adoption.
Youll work closely with Product Management, Sales, Customer Success, and the broader GTM organization. This role sits within the Data Pod marketing team, reporting to the Pod Lead based in the UK, and is based in Israel on a hybrid model.
What Youll Do:
Own the Go-to-Market for Data & AI Products
Define and execute go-to-market strategies for our Data and AI product portfolio, including our API, data feeds, MCP integrations and our innovative AI solutions.
Lead product launches end-to-end: positioning, messaging, launch execution, enablement, and post-launch adoption. You ship, you dont hand off.
Partner with Product Management to translate roadmap priorities into market-facing narratives and launch plans that drive awareness, adoption, and revenue growth in a consumption-based model.
Build the Narrative That Earns Trust
Develop positioning and messaging for data and AI products that resonates with data-savvy audiences: analysts, data teams, and technical buyers across various categories.
Create compelling customer-facing content: landing pages, product pages, one-pagers, pitch decks, case studies, email campaigns, and product guides.

We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today; to govern the accessibility of all its employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and to make sure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The Job:
As a Senior Full Stack Engineer, you will play a key role in designing, building, and scaling Grip Securitys core systems and features. You will take ownership of a new and developing product, working end-to-end from architecture through implementation to delivery.
Youll design and develop scalable backend services, build full-stack product features, and integrate with diverse external APIs. Your work will directly impact system reliability, scalability, and performance. Youll collaborate closely with Product, QA, Design, and DevOps teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
Tech stack: Python, React, TypeScript, AWS, Kubernetes, SQL/NoSQL databases.

ShiftLeft is building the cloud security platform for developers (AppSec). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Senior Backend Engineer to join our team and contribute to our Cortex Cloud platform.
As a Senior Backend Engineer, you'll have a high-impact role in shaping the future of our code security products. Beyond building robust and scalable backend features, you'll help drive performance, reliability, and innovation across our systems. Our group owns and leads the departments data pipelines, databases, and enrichment and persistence flows. If you're excited by technical challenges, meaningful ownership, and making life easier for developers - this is the place for you.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Product Data Science Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.