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our company, is the pioneer of Clickless Discovery. We empower the worlds most iconic brands to look beyond traditional analytics and understand the dark consumer journey - the critical path a user takes before they ever click. By leveraging massive behavioral datasets and sophisticated AI-driven agents, we provide actionable insights that help brands win at the earliest stages of consumer intent. As part of the Partnerize family - the global leader in partnership automation - our Tel Aviv team operates with the high-velocity, high-ownership mindset of a startup, backed by the stability and reach of a global enterprise. We are building the future of marketing intelligence, and we are doing it at a massive scale.

Role Mission
As our Senior Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. Konnectos platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do
Translate complex data queries into clear business insights, recommendations, and
product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to
identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and
define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and
existing products.
Support product strategy by measuring adoption, feature performance, customer impact,
and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of
voice, and conversion behavior.

We're seeking an experienced Full-Stack engineer proficient in both front and back-end programming, dedicated to leveraging technology for impactful product development. As a key member of the application team, your role involves designing and developing scalable front-end solutions, web architecture, and end-to-end platform services. Collaboration with product managers, UX/UI designers, and Geo-information analysts is essential to deliver robust features.

Responsibilities:
Build top-notch, scalable, and reusable code, adhering to best practices in software engineering, architecture, and processes, including code reviews and testing.
Take complete ownership of new features, collaborating with PMs to define requirements, design scalable solutions, and iteratively enhance them based on user feedback.
Lead the development and maintenance of microservices, contributing to the evolution of our architecture for enhanced scalability and modularity.
Collaborate closely with cross-functional teams to define, design, and deliver high-quality software applications that align with both technical and business requirements.

As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.



Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.



We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.


Key Responsibilities:
Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.

We are looking for an experienced Back End Tech lead, to further develop the platform. You will join one of our Fullstack teams and help the teams build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. The product has a broad amount of features and serves more than 1.5M active users, leading to many product and engineering challenges.
A Tech Lead is a hands-on engineer who leads by example, bridges the gap between strategy and execution, and strengthens the effectiveness of their team. This role is distinct from that of a Senior Developer through a clear set of responsibilities that focus not just on individual excellence but on team-level technical leadership, decision-making, and operational maturity.
Key Responsibilities;
Lead complex projects, own technical roadmap and architecture decisions
Actively contribute high-quality code to critical areas, set standards for the team
Drive tech standards, lead testing coverage, monitor KPIs, ensure excellence before shipping
Own platform stability, lead major incidents, drive root cause analysis and action items
Coach team through code reviews, technical sessions, and content; be the go-to technical expert
Lead the teams technical roadmap
Conduct technical interviews, run onboarding, represent team in cross-functional forums

our company enables organizations to address todays consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the worlds leading cloud customer experience platform.
CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, technical excellence, and the adoption of advanced technologies at scale.
We are looking for a Lead DevOps Engineer to join our CSA Infrastructure group. In this role, you will take a technical leadership position, driving the design, scalability, security, and operational excellence of our cloud platforms, while mentoring engineers and shaping DevOps best practices across teams.
How will you make an impact?
Lead the design, evolution, and operation of large-scale cloud infrastructure on AWS and Azure, ensuring high availability, security, resilience, and cost efficiency
Drive Infrastructure as Code (IaC) strategy and quality, ensuring consistency, reusability, and maintainability across environments and development groups
Act as a technical authority for troubleshooting complex production issues and leading root-cause analysis
Collaborate closely with development, QA, security, and product teams to align infrastructure with business and product needs
Mentor and guide DevOps engineers, fostering a culture of ownership, learning, and continuous improvement
Lead initiatives around observability, monitoring, alerting, and incident response
Proactively identify risks, technical debt, and optimization opportunities
Evaluate, introduce, and scale new tools, technologies, and AI-driven automation to improve efficiency and reliability.

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

As a Senior Data Science Researcher in our Workforce Management group, you will be part of a cross-sectional team working at the intersection of machine learning, GenAI, agentic AI, ML-Ops and Operations Research. You will develop the next generation of our companys Workforce Management solution for our customers contact centers - forecasting work volume, scheduling agent shifts, managing time-off requests, and owning the full lifecycle of the work schedule, in a high-stakes production environment serving many customers. Our solution has been recognized as the market leader for over 10 years.
How will you make an impact?
Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment.
Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch.
Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration.
Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization.
Integrating new features and solutions into large existing software systems, stringing multiple disciplines together.
Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team.
Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery.

We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows.
Study and incorporate standards for data governance, security, and compliance.
Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs.
Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.

We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

We're looking for a Senior Principal Threat Hunter to serve as a senior technical leader within our Cyber Defense Team team.

This is a high impact individual contributor role, you won't manage people, but you'll influence how we hunt, investigate

and respond to threats across cloud and SaaS environments at scale.

You'll be the person who takes a weak signal, a piece of emerging intelligence, or an unusual customer activity pattern and turns it into a meaningful investigation, a proactive hunt, or a new detection opportunity.

You'll lead the most complex investigations, drive threat intelligence initiatives, and help define the hunting methodologies that guide our customers' security outcomes.

As one of the team's most senior practitioners, you'll act as a force multiplier across hunting, intelligence, and incident response functions, elevating technical standards, mentoring peers, and helping shape the future of our detection and response capabilities.

What You'll Do
- Design and execute proactive threat hunts across cloud and SaaS environments (AWS, Azure, GCP, Okta, M365), grounded in current intelligence and ATT&CK-mapped adversary behavior.
- Mature and operate a recurring threat intelligence reporting function, turning intel into hunt leads, detection opportunities, and customer-facing narratives.
- Lead incident response investigations during US business hours, from scoping through root cause; step into the Incident Commander role when required.
- Continuously monitor threat detections and deliver responsive services with thorough event analysis and judgement.
- Triage and investigate security alerts across cloud and SaaS environments, separating true threats from noise and surfacing detection gaps to the detection engineering team.
- Leverage automation and AI tooling to scale impact, and propose improvements for processes, workflows, products, and policies.
- PLUS: Exposure to detection engineering, tooling and automation development, or prior managed services (MSSP) experience.

This role is primarily focused on frontend development (using React and TypeScript), with the ability to take on backend tasks in Python as needed.

Your responsibilities will span from architectural design to implementation of complex, time-critical, microservices-based systems. You will provide technical leadership, leveraging event-driven architecture to handle large volumes of clinical data and power real-world clinical workflows.

As a senior member of the R&D team, you will contribute to core platform services and mentor other engineers, contribute to sprint planning and iteration design, ensuring a seamless experience from UI to backend systems while driving excellence in engineering practices.

Tech Stack
Frontend: React, TypeScript, and modern web frameworks.
Backend: Our services are primarily Python-based and leverage open-source technologies such as RabbitMQ, Redis, Elastic, and relational / NoSQL databases.

We continuously evolve our stack and adopt modern engineering practices - including AI-assisted development tools - to improve quality and velocity.

You will:
Build and maintain user-facing features using React and TypeScript
Collaborate closely with Product ,Design AI, Data, and other R&D teams
Participate in both frontend and backend development tasks as required
Own backend features and sprint outcomes from design to production
Ensure code quality, performance, and scalability
Participate in design and architectural discussions
Review code and contribute to engineering best practices
Take initiative in solving complex production challenges
Thrive in a fast-paced environment with short feedback loops and real user impact
Lead technical initiatives and architectural design decisions
Mentor engineers and champion best practices
Drive long-term technical strategy and scalability improvements

We are seeking a highly skilled Senior DevOps Engineer, with vast experience in scaling, and automation of our cloud infrastructure. The ideal candidate will have extensive experience in AWS, Kubernetes, Terraform, CI/CD automation, and analytics, working closely with development, security, and operations teams to ensure high availability, scalability, and reliability of our infrastructure.

Responsibilities
Cloud Infrastructure : Architect, manage, and scale all aspects of cloud infrastructure primarily in AWS, leveraging Terraform for automation and efficiency.
CI/CD & DevOps Practices: Design and implement CI/CD pipelines to streamline deployment and improve efficiency.
Monitoring & Observability: Establish robust monitoring, logging, and auditing measures to ensure best practices for system observability, easy debugging and reliability.
Containers & Kubernetes: Deploy and manage containerized applications using ArgoCD, Kubernetes, Docker, and Helm.
Collaboration & Leadership: Work cross-functionally to optimize workflows, drive automation, and improve infrastructure scalability.
Automation - Automate deployment processes to enhance efficiency and minimize downtime.
Databases: Manage databases for high availability and performance.