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We are looking for a talented AI Engineer to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.
What Youll Do:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with engineering teams to design, build, and maintain production pipelines.

We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.
What Youll Do:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Collaborate with engineering teams to design, build, and maintain production pipelines.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

we are looking for a Senior Software Engineer.
To that end, you need a barrier-breaking technology partner. Thats what seeks to be.
WHAT YOU WILL WORK ON:
Develop our product and features end-to-end, from architecture design to implementation and from database to client-side.
Solve diverse complex problems on high-scale, cutting edge systems.
Collaborate with Design, Product, QA and Development teams to deliver an amazing product.
Work closely with business users and feel the immediate impact of your implementations.
Help us design and implement a product for business operations to design the future of work and impact companies and people all over the world.

we are looking for a Senior DevOps Engineer.
WHAT YOU WILL WORK ON:
Build and maintain production environments in a multi-cloud architecture with multiple providers.
Build a proactive model for quickly identifying and resolving infrastructure bugs.
Get a chance to work with virtually all aspects of our rapidly-developing infrastructure.
Drive the success of our systems advancements, cooperating with the development, support and QA teams.
Introduce cutting edge technologies to support new features .
Define and lead security principles.

We are looking for a senior Product Manager with a strong consumer-product mindset to join our Israel team.
ROLE OVERVIEW:
This role is ideal for someone passionate about building products people genuinely want to use, not just products organizations buy. Tonkean operates in a B2B2C environment: our customers are enterprises, but our users are employees across legal, procurement, finance, HR, operations, and other business teams.
Success in this role requires understanding both sides: the business needs of our customers and the day-to-day experience of the end users who adopt and rely on our product.
In this role, you will own key product initiatives, work closely with customers, users, designers, and a global engineering team, and help shape product experiences that deliver meaningful user value and drive real adoption. We are looking for a product leader who combines strong product thinking, excellent UX judgment, curiosity about user behavior, and the ability to drive execution in a fast-paced environment.

we are looking for a hands-on Data Platform Engineer to operate and evolve our enterprise Kafka ecosystem, which serves as the companys central data streaming platform. The role is critical to our data infrastructure and supports a major ongoing migration to the cloud, while covering production operations, troubleshooting, automation, maintenance, and reliability across high-volume, low-latency, 24/7 on-premises and cloud environments.
Responsibilities:
Operate and monitor Kafka environments across Confluent Cloud, Confluent Platform, and Kubernetes/CFK deployments, including availability, consumer lag, replication, throughput, latency, storage, and capacity.
Troubleshoot production incidents, participate in on-call, perform root-cause analysis, and improve resilience, failover, and disaster-recovery readiness.
Manage topics, partitions, retention, ACLs, consumer groups, Kafka Connect connectors, and Schema Registry.
Deploy, configure, upgrade, patch, and scale platform components and connectors while maintaining secure access and configuration consistency.
Automate platform operations and provisioning using scripting, infrastructure-as-code, and CI/CD.
Work with DevOps, SRE, Infrastructure, Security, Architecture, Data, and application teams to onboard workloads and continuously improve platform reliability and governance.

We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.
In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.
This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.
You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.

We are looking for a motivated Mid - Level Salesforce Developer (1-3 years of experience) to join Business Automation team. This role is an excellent opportunity for someone looking to grow their Salesforce development career while working on enterprise-scale projects, integrations, and business process automation initiatives across multiple departments.
Responsibilities:
Develop and maintain Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow.
Configure and customize Salesforce objects, fields, page layouts, validation rules, and automation.
Support integrations between Salesforce and internal/external systems.
Assist in troubleshooting production issues, bugs, and user-reported problems.
Collaborate with Salesforce Administrators, Business Analysts, and business stakeholders to deliver efficient solutions.
Participate in testing, deployment, and release management activities.
Follow Salesforce development best practices, coding standards, and security guidelines.
Document technical designs, configurations, and development work.

we are looking for a AI Product Owner.
As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.
Responsibilities:
Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

We are looking for a visionary Product Manager to own one of the most strategic areas of the platform - our Connectors ecosystem and AI Infrastructure.
This role sits at the intersection of cybersecurity, integrations, product strategy, and AI-powered workflows. You'll drive the evolution of the platform that connects with leading security technologies including SIEM, SOAR, PAM, Vulnerability Management, EASM, Asset Management, Jira, ServiceNow, and many more.
You'll also play a key role in shaping how our AI-powered Helm platform interacts with customers' environments through intelligent agent workflows, helping some of the world's largest enterprises strengthen their cybersecurity posture.

We are looking for a Security Researcher to join our team; an enthusiastic, autodidact who is passionate about analyzing vulnerabilities and malware techniques.
He/she will build offensive breach scenarios, integrating the latest security knowledge into the SafeBreach platform of threats and 1-day exploits.

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 Data Engineer with strong Python expertise and extensive experience building large-scale, distributed data systems You will play a key role in developing our next-generation data platform, building integrations with external data sources, and designing the services and pipelines that collect, process, and serve large volumes of data across our product. You will own systems throughout their full lifecycle — from system design and hands-on development to deployment, scalability, and production monitoring — while contributing to technical decisions and working closely with the team on building reliable, high-performance data solutions. Our Office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week, with flexibility .?

Responsibilities:
Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads. Develop reliable integrations with external APIs, platforms, and data providers. Design, build, and maintain backend services using Python and FastAPI
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