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Our Office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week, with flexibility . Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve. We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter. We’re a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every test, every brand decision happens in-house - which means your work moves the needle directly and visibly. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here. ABOUT THE ROLE We are looking for a Senior backend engineer who is strong in Python and enjoys building reliable, data-intensive systems. You will help develop our next-generation platform, integrations with external data sources, and the services that collect, process, and expose data throughout our product. This is primarily a backend engineering role—not a pure data engineering or DevOps position. However, you should be comfortable working with data pipelines and taking services through the full lifecycle, from design and implementation to production monitoring. This is a hybrid position, including two work-from-home days per week, with flexibility .

Responsibilities:

* Design, build, and maintain backend services using Python and FastAPI
* Develop reliable integrations with external APIs, platforms, and data providers.
* Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
* Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
* Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
* Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
* Improve the performance, scalability, observability, and reliability of existing services.
* Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
* Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.


Biz Dev:
R&D

Remote/Part time:
Hybrid

HW Application Engineer - Job description: we are a leading supplier of microcontrollers and security hardware solutions for tier-1 customers in the computing and servers business. It is a self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. The group works closely with major customers, primarily key OEMs in the computing space, to develop semi-custom, innovative solutions for a wide range of application platforms. We are looking for a Hardware Application Engineer, to maintain and support our strong collaboration with our customers.
What You Will Be Doing
* Lead customers through all stages of designing their systems based on Nuvoton manageability and security microcontrollers (i.e., BMC, EC, SIO and TPM) from planning till production.
* Respond and resolve customer hardware related issues and requests, reported by the regional support team (FAEs) or directly by customers.
* Work closely with R&D, architects and PMs to provide issue resolutions, workarounds, and implement product features or support tools.
* Key contributor in complex debug tasks for issues found by customers; build debug strategies and hands-on work with the design team through the debug.
* Develop deep knowledge of customer applications and systems, recommend application solutions, design ideas and products to customer design teams.
* Develop and maintain technical documentation (e.g., reference schematics, application notes, design guidelines).
* Provide inputs and participate in next generation ICs definition based on customer inputs.
* Contribute to the definition of innovative and differentiated products.

We're looking for a seasoned Digital Native Account Executive to help expand our footprint among Israel's digital native companies - AI-native startups, cloud-first scale-ups, and next-generation tech companies - and shape the future of adoption in the region. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted with this fast-moving segment of the market.

Our ideal candidate brings both business acumen and technical depth, capable of guiding digital native customers with specialized expertise to help them achieve their objectives and unlock the full value .



What You'll Be Doing

Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts with high-growth digital native companies, while simultaneously developing a strategic Enterprise business with complex sales cycles.
Evangelize vision and solutions across Israel's digital native ecosystem - from early-stage AI startups to scaling cloud-first companies - to secure strategic commercial commitments.
Take a solution-based approach to selling, delivering clear business value for customers.
Champion the innovation behind Cloud, driving awareness and adoption among fast-moving, cloud-native teams.
Manage customer details, including use cases, timelines, and forecasting, within Salesforce.
Deliver accurate monthly business forecasts.
Contribute to the ecosystem by engaging in local developer meetups and helping organize specific community events.

As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness speed and scale in the frameworks they already use.

We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with as a vector store, ML feature stores, and LLM-powered data applications.

columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

Who We’re Looking For – The Team Lead & Architect We’re looking for an experienced, hands-on AI Engineering Squad Lead to lead the team building the AI agents, intelligent workflows, and decision-making systems powering Chargeflow’s products. This role combines technical and architectural leadership with people leadership. You’ll lead engineers, build alongside them, and own production systems that must operate reliably, securely, and at scale. Our AI platform brings together models, data, tools, business logic, and intelligent workflows to solve complex problems across the chargeback and fraud lifecycle. These systems must understand context, make decisions, and take action in real time and under uncertainty. This isn’t a pure infrastructure or AI research role, and it isn’t about building impressive demos. It’s about turning rapidly evolving AI capabilities into reliable, production-grade products with measurable business impact. If you’re looking to manage tasks and stay above the code, this probably isn’t the role for you. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Lead, mentor, and develop a team of strong software engineers while remaining deeply involved in architecture and code.
* Own the architecture and evolution of Chargeflow’s AI platform.
* Design and build production-grade AI agents, intelligent workflows, and decision-making systems.
* Combine LLMs with business logic, company data, external tools, and deterministic software to solve complex product problems.
* Own AI systems throughout their lifecycle, from design and implementation to deployment, evaluation, monitoring, and continuous improvement.
* Make thoughtful architectural tradeoffs across accuracy, latency, scalability, reliability, security, and cost.
* Turn ambiguous product and business problems into clear technical direction, milestones, and measurable outcomes.
* Build evaluation frameworks that measure system quality, correctness, reliability, and business impact.
* Raise the bar for code quality, system design, observability, and engineering execution.
* Review designs and code, challenge assumptions, and help strong engineers become exceptional.
* Partner closely with Product, Data, and other R&D teams to turn emerging AI capabilities into meaningful customer value.
* Help define how engineering teams at Chargeflow build software with AI while maintaining high standards for correctness, security, and maintainability.

The QA Lead will manage a group of QA Engineers working in the development Agile teams and will be involved in all the phases of the products life cycle, from the design to the delivery and to the operation and maintenance. QA Lead will work closely with our Product department providing R&D feedback to the product requirements and verifying that the features are developed as per their PRDs. This position requires about 80% of hands-on involvement in tests automation, documentation and other daily QA activities.
Requirements:
7+ years in QA Engineering.
3+ years as a QA Lead / QA Manager, preferably in Agile environment.
Understanding of QA methodologies and documentation.
Hands-on in the server side tests automation.
Good SQL command / DB knowledge.
Experience testing Web applications.
Experience testing Mobile applications.
Great command of Linux.
Scripting abilities.
Quick learner.
Advantages:
Knowledge / hands on in the tests automation for mobile devices.
BigData experience.
Academic degree.
Programming abilities.
Experience working with AWS and/or Open Stack.
 Location:
Petah Tikva, IL

Responsible for product planning and execution throughout the product lifecycle, including gathering and prioritizing product requirements, and working closely with R&D, Data scientists, security researchers, customers, sales, go-to-market, marketing and field-services to ensure successful product releases and high customer adoption and satisfaction.
Your Impact
Collect, prioritize and internally communicate product requirements, define product features, manage and communicate product roadmap.
Be responsible for adoption of your product applying data, product led growth techniques and working closely with numerous groups in the organization.
Engage with enterprise-scale customers to ensure high level of satisfaction with our product offering.
Collaborate with sales, professional services, business development, management, and operations on a daily basis.
Take responsibility for Threat Detection in the identity security platform, handling data and AI-related features while working with engineering, security researchers, and AI teams.
Work with different product teams to integrate and enhance their product offerings with threat detection as a platform capability.

We are seeking a Senior / Principal Security Researcher to join our high-caliber Security ML Team. Our team solves complex security challenges using disruptive technologies, AI/ML algorithms, and massive datasets to design and develop groundbreaking security solutions that transition directly from research into production-grade protection.
In this role, you will serve as the core security domain expert within a multidisciplinary team, providing essential security-side expertise to assist in the development of ML models, deeplearning models, and Small Language Models (SLMs). By translating complex malware behaviors and static file attributes into actionable logic, your research will directly shape the algorithms that protect millions of endpoints worldwide. If you are looking to autonomously drive high-impact research initiatives from inception to production and use data-informed critical thinking to influence advanced security modeling, we want to hear from you.
Key Responsibilities
The Bridge to the AI Ecosystem: Serve as the core security domain expert within a multidisciplinary team, translating complex malware behaviors and static file attributes into actionable features, labels, or heuristics-fueling AI algorithms and automated, data-driven security logic.
Telemetry & Sensor Optimization:Analyze raw endpoint telemetry (such as memory buffers, hook outputs, and IPC artifacts) to evaluate algorithm effectiveness and work with AI researchers to tweak or implement new models..
Deconstruct File Behavior: Look past the "black box" of machine learning by digging into executable formats (PE, ELF, Mach-O) and scripts to identify malicious behavior(e.g., packing, anomalous imports, obfuscation).
Drive Intelligent Protections:Take a security hypothesis, validate it via data analysis, and build Python-based proof-of-concepts that scale into production-grade detections-spanning machine learning classifiers to AI-informed automated rule generation.
Shape the Pipeline: Influence data pipeline strategies and model design by ensuring our datasets and automated logic accurately capture the ground truth of modern threat landscapes.

Are you an innovative security researcher with a deep understanding of Linux systems and a passion for protecting modern environments? Do you want to lead the charge in securing enterprise networks against the latest threats?
We're looking for a skilled professional to join our team, focusing on the critical and rapidly evolving fields of Linux Security. You'll be a foundational member of a new and growing team dedicated to the blue ocean of detection, developing multiple new capabilities within the largest cybersecurity enterprise in the world.
This is a unique opportunity to apply your expertise and influence the future of threat prevention-helping us build cutting-edge security solutions from the ground up.
Key Responsibilitie
Play a pivotal role in shaping the future of our security solutions.
Enhance product effectiveness by designing advanced protection components and developing sophisticated detection rules.
Research Linux OS internals, virtualized environments, and malware behaviors to inform and strengthen our attack prevention mechanisms.
Apply advanced AI and big data approaches to investigate and analyze large-scale datasets across our client base.
Lead research on novel protection concepts and bring them to production-grade quality, serving as a subject matter expert.
Stay up to date with the latest attacker methodologies, APT campaigns, and TTPs targeting Linux systems.
Conduct static and dynamic reverse engineering of Linux malware to uncover new techniques and develop mitigation strategies.
Collaborate closely with engineering, product management, and other research teams to translate research findings into production features.