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Required Senior Instructional Designer (Internal Product Enablement Training)
As a Senior Instructional Designer, you will play a critical role in driving internal product enablement across the company. You will design and deliver training programs that equip our employees - including Marketing, Field, Support, and Sales with the deep product knowledge needed to excel in their roles. Your work will ensure that internal teams are prepared to support, position, and operationalize new features and product releases with confidence. This role is essential for aligning our teams with the product roadmap, accelerating readiness for customer-facing interactions, and strengthening our business impact from the inside out.
What Youll Be Doing?
Develop and deliver internal product enablement training that equips our employees (Marketing, Field, Product, and R&D) with deep knowledge of the platform and business value.
Prepare internal teams for customer-facing interactions by creating training that enables them to support, position, and operationalize new features and product releases.
Work closely with multiple subject matter experts (SMEs) across departments to gather knowledge, validate accuracy, and transform inputs into effective learning content - often under tight timelines.
Translate complex, highly technical product concepts into clear, engaging learning materials tailored to different internal audiences.
Continuously update internal training to reflect new product releases and roadmap changes.
Assess knowledge adoption, collect feedback, and iterate content to maximize business impact.

Required Product Analyst
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

We are looking for a senior leader who is inspired by the cloud and AI revolution to work alongside our CEO to drive the sales .
This role will require you to own the full sales cycle, from lead gen to opportunity to closure and account expansion.
You will lead teams of hunters, account managers and customer success managers to influence both prospects and clients to build, shape and grow their business on top of the cloud, and in other cases their digital transformation journey to the cloud.
This is an exciting opportunity to be part of a fast-growing and entrepreneurial organization, bringing innovation and growing the adoption of cloud.
Roles & Responsibilities:
Help lead the strategic growth of Commit.
Successfully work in a scaled environment, impacting a large diverse customer portfolio while managing ongoing sales activities
Build a pipeline of new prospects
Manage entire sales cycle - from lead to MQL, to SQO to contract signature
Own the proposal creation and collaborate with delivery to ensure successful engagements post contract signature
Instill customer centricity and bring added value solutions for our existing clients
Retain customers and identify opportunities to expand scope of work
Build and leverage relationships with all internal and external stakeholders to further adopt cloud services in the market
Collaborate with CommIT resources to support customer interests and further drive solution adoption
Assist in translating market feedbacks and requirements into new winning offerings
Work closely with channel partners to ensure ongoing collaboration

We are looking for a Hebrew Speaking Customer Support Specialist to assist our customers with technical problems when facing our products and services.
Customer Support Specialist responsibilities include resolving customer queries, recommending solutions and guiding product users through features and functionalities. To be successful in this role, you should be an excellent communicator whos able to earn our clients trust.
Ultimately, you will help establish our reputation as a company that offers excellent customer support during all sales and after-sales procedures.
What youll be doing:
Respond to customer inquiries via phone, email, and chat in a timely and professional manner.
Identify and assess customer needs, troubleshoot issues, and provide appropriate solutions or escalate to the appropriate department if necessary.
Maintain a high level of product knowledge to effectively address customer questions and concerns.
Document all customer interactions and resolutions accurately and thoroughly in the companys CRM system.
Collaborate with other teams, including sales, marketing, and product development, to address customer issues and improve overall customer satisfaction.
Proactively identify opportunities to enhance the customer support process and contribute to continuous improvement initiatives.
Assist in the development of support materials, such as FAQs and knowledge base articles, to empower customers to self-serve when possible.

We are seeking an experienced Observability & Monitoring Engineer (SRE/DevOps) to lead reliability, observability, and performance efforts for our most critical applications. This role bridges development, operations, and product, ensuring our systems are robust, scalable, and drive superior business outcomes. The Senior Observability & Monitoring Engineer will design and optimize monitoring strategies, automate operational tasks, and serve as a technical mentor for reliability within the R&D organization.
Key Responsibilities:
Architect, implement, and maintain advanced monitoring, logging, and alerting solutions using Datadog (mandatory), covering infrastructure, application, and business-level metrics.
Lead and optimize reliability, performance, and scalability efforts for PostgreSQL, Redis, SQS, K8s, and cloud-native environments.
Design, build, and maintain automations for operational tasks, deployments, and remediations (Infrastructure-as-Code, CI/CD, self-healing workflows).
Mentor engineers on reliability engineering best practices, monitoring usage, and troubleshooting methodologies.
Lead knowledge sharing by producing high-quality documentation, technical presentations, and internal training.
Perform capacity planning, performance tuning, and proactively address potential bottlenecks or scaling issues.
Stay current with SRE, DevOps, and cloud trends; evaluate and recommend new tools and approaches for continuous improvement.

we are looking for a senior software engineer to join our elite team which is responsible for building a platform that serves all our companys SaaS products.
In addition to the platform, the team is also responsible for one of our companys strategic products that enables customers to access their sensitive assets securely.
In this role you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
The team works in full collaboration with security architects, product managers and other development teams. Together we produce complex and advanced platform that meet the highest security standards and NFRs.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.
Practice all software development life cycle in agile oriented environment
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms
Explore new technologies and tools to keep us using cutting edge solutions
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.

We are looking for an R&D Team Leader to join our team and lead the development of Risk Management. This product manages and analyzes risks across multiple company services, making it a critical component of our platform.
In this role, you will lead a team of ~6 engineers, guiding them in building an innovative product with significant influence on its design, capabilities, and technology. You will oversee the security, quality, performance, and maintainability of the product, while driving best practices in software engineering, data modeling, code quality, security, observability, and operational excellence.
You will manage delivery plans, track progress, resolve blockers, and ensure timely delivery of high-quality features. Collaboration will be a key part of your role, working closely with Product Management, UX, UI, and Technical Writing to deliver a seamless user experience.
This position requires strong technical leadership, the ability to adopt new technologies quickly, and experience working in multi-cloud environments (AWS, Azure, GCP). You will lead your team through the full software development life cycle in an agile-oriented environment, ensuring the use of cutting-edge solutions and architectural best practices.

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

We are looking for a Frontend Team Leader to guide and mentor a team of 3 talented frontend developers. You will drive the design and development of innovative, scalable, and secure user interfaces.
Responsibilities:
Lead, mentor, and grow a team of 3 frontend developers.
Provide technical and architectural guidance for Angular-based frontend applications.
Stay current with industry and UI/UX trends, driving the adoption of best practices and modern frameworks.
Actively contribute to development, ensuring code quality, performance, and scalability.
Collaborate closely with Product Management, Backend, QA, and global engineering teams.
Ensure adherence to engineering practices including unit testing, code reviews, and continuous integration.
Work with Support to troubleshoot and resolve customer-facing issues.
Contribute to technical design and documentation.
Assist in recruiting and onboarding new team members as the team grows.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our copmpanys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.