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Adata -driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With our technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about managing their land and resources.

Responsibilities:
What Youll Do:
* Manage and own all our IT SaaS services, including provisioning, license management, integrations, and governance.
* Provide hands-on helpdesk /support for our employees in Israel and globally (hardware, accounts, access issues, network environments, etc.).
* Establish, maintain, and improve IT processes such as onboarding/offboarding, asset management, and access management.
* Build internal automations to streamline workflows and reduce manual work (using no-code/low-code tools or scripting).
* Lead and advance the companys security posture by monitoring compliance, managing security tooling, and driving best practices.
* Act as the central point-of-contact for all security-related inquiries, incidents, and vendor assessments.
* Own hardware lifecycle management (laptops, devices, accessories) including procurement, configuration, updates, and inventory.
* Manage Identity providers, SSO, VPN, cloud permissions, and audit requirements.
* Collaborate cross-functionally with HR, Finance, Ops, and Engineering to ensure smooth internal operations.

abra R&D is seeking for a DevOps Engineer. As part of the team, you will take ownership of cloud-native environments , support development teams with robust and secure CI/CD processes, and help drive the implementation of Infrastructure as Code (IaC) practices. You’ll work with advanced tools and technologies such as Azure DevOps AWS (including ECS) , and Docker Containers , supporting mission-critical applications in a production-grade environment. A full time hybrid position ?Key Responsibilities:
* Designing, building, and maintaining CI/CD pipelines using Azure DevOps
* Managing and deploying containerized applications using Docker and AWS ECS
* Implementing and maintaining Infrastructure as Code using tools like Terraform or CloudFormation
* Supporting development and QA environments in a hybrid cloud setup

Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We are searching for a Senior AI Product Manager who can bridge the gap between AI capabilities and business impact. You will be responsible for identifying and embedding AI into our product in ways that drive value, create efficiencies, build competitive advantage, and unlock new revenue opportunities At Chargeflow, we appreciate your past, but mainly focused on the future and what we can achieve together. This is your opportunity to lead AI-first product development in a fast-paced startup, where your work directly impacts the future of the online commerce. Your Arena - Know your impact ?? As a Senior AI PM , you will be the bridge between cutting-edge AI technology and real-world business impact. You will own the end-to-end productization of AI by turning today’s most advanced models into intuitive, high-impact features. From discovery to launch to optimization, your focus will be on delivering AI-driven innovation that matters Strategic Ownership : Define and evolve the AI product roadmap, aligning initiatives with business goals and measurable outcomes. Prompt Engineering Mastery : Design, test, evaluate, and optimize prompts to ensure consistent, high-quality outputs from LLMs. Productization of AI : Translate model capabilities into seamless, reliable, and efficient product experiences. Cross-Functional Leadership : Partner with Engineering, Design, and Ops to scope, build, and ship AI-powered features that are usable, compliant, and impactful. Experimentation & Validation : Run quick experiments to validate hypotheses, measure ROI, POCs, and ensure every AI investment delivers clear value to the business and customers. Discovery & Delivery : Proactively discover and validate new features and enhancements through data to solve your problem area while ensuring timely and efficient delivery. Internal Evangelism : Champion AI adoption across the organization. Help stakeholders understand what’s possible (and what’s not) with today’s models. Market Awareness : Stay on top of the rapidly evolving AI ecosystem and assess which external models, APIs, or tools should be brought into our product.