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Were growing and looking to hire a Director of Strategic Alliances who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking a strategic and execution-focused Director of Business Development to define and lead global technology alliances strategy. In this role, you will architect and operationalize high-impact partnerships that expand our platform ecosystem, accelerate customer adoption, and strengthen our competitive positioning.
You will work cross-functionally with Product, Engineering, Sales, Field PM, Marketing, and Customer Success to drive durable integrations, scalable partner programs, and measurable revenue impact. This is a highly visible role requiring executive presence, deep cybersecurity expertise, and the ability to translate ecosystem strategy into tangible business outcomes.
Responsibilities:
As a Director of Strategic Alliances, your responsibilities will be:
Define and own technology alliance strategy, including partner segmentation, prioritization, investment models, and executive-level partner relationships.
Identify, structure, and govern strategic partnerships that expand platform reach, accelerate adoption, and strengthen competitive positioning across technical, commercial, and GTM dimensions.
Drive deep, durable technology integrations in partnership with Product and Engineering, aligning partner roadmaps, APIs, and architectures with long-term platform vision and customer use cases.
Build and operationalize a scalable alliance program that enables efficient partner onboarding, certified integrations, and effective sell-with motions that deliver measurable customer and revenue impact.
Own alliance-driven business outcomes, including pipeline influence, ARR contribution, attach rates, and expansion, supported by clear KPIs and operating cadence.
Develop co-built solutions and GTM plays with priority partners, including positioning, sales enablement, and executive-level deal support.
Shape ecosystem narrative and market intelligence, representing the company in strategic forums while monitoring competitive partnerships, ecosystem shifts, and M&A activity.
Establish repeatable operating models and cross-functional alignment across Product, Engineering, Field PM, SEs, and Sales to ensure consistent execution and lifecycle management of alliances.
Initiate and nurture relationships with key stakeholders at partner organizations.
Support for partner-related activities,including events, webinars, and customer engagements.

As a Backend Developer, you will directly impact the scalability, reliability, and intelligence of our core content pipelines.



As part of your role, you will:

Build and maintain backend services using NestJS and Python.
Develop and optimize APIs and microservices for sports-related content pipelines.
Take product requirements (PRDs), break them down into technical tasks, and implement them end-to-end within an existing codebase.
Integrate machine learning models into production systems and work on the services that power model-driven pipelines.
Collaborate closely with the AI team to integrate backend systems with machine learning components.
Participate in code reviews and contribute to architectural decisions that improve system scalability and reliability.
Work with real production data, troubleshoot issues, and continuously improve service performance.
Write efficient, production-grade code with strong ownership and attention to system design.

We are looking for an experienced System Architect to lead the architecture and technical design of our platform.
In this role, you will define scalable system architecture for AI-driven data platforms, working closely with product management, engineering teams, and customer-facing teams. You will guide technical decisions, ensure architecture consistency across teams, and support successful delivery of our solutions.
The role also includes customer-facing technical engagement, supporting pre-sales activities and providing architectural guidance during complex enterprise deployments.
Responsibilities:
Define and maintain the overall architecture of our platform and solutions
Design scalable distributed systems for large-scale financial data processing
Collaborate with product management and engineering teams to translate product requirements into architecture
Guide development teams on architecture decisions, scalability, and performance
Support pre-sales engagements and customer implementations with technical expertise
Design cloud-native architectures for SaaS and on-premise deployments
Guide architecture of AI-driven analytics and data processing platforms
Promote architectural best practices across teams.

This role involves leading a diverse team of engineers with various specializations, guiding them to maintain high standards and drive consistent performance across the platform.



As part of your role, you will:

Team Leadership & Growth - Mentor engineers, conduct performance reviews, and build a high-trust collaborative team.
Leverage AI to accelerate development and delivery - leverage industry leading tools and our companys agentic concepts to speed up development and operational workflows.
Operational Excellence - Set high standards for code quality, monitoring, and incident response; ensure systems are robust and secure.
Technical Direction - Guide architectural decisions, balancing immediate product needs with long-term scalability.
Enable Autonomous Execution - Build self-service platforms (GitOps, observability, cost dashboards) so product teams deploy and monitor independently.
Stay Hands-On - Lead architecture reviews, debug critical incidents, and mentor through code and config reviews - you're a player-coach.

We are looking for a Software Release Manager to join our team in Israel and lead the delivery of complex software releases across our SaaS solutions.
In this role, you will drive end-to-end release operations, align multiple scrum teams, and ensure software updates are delivered on time and with high quality. You will work closely with Product, Engineering, DevOps, and Program Management to optimize release execution, improve delivery processes, and provide clear visibility into release health, risks, and performance.
Key skills: Agile, JIRA, CI/CD pipelines, EazyBI, Scrum, Kanban, SAFe
What youll work on:
Leading the end-to-end release lifecycle across multiple SaaS delivery streams
Managing the release calendar and coordinating across scrum teams to ensure aligned, conflict-free delivery schedules
Coaching Scrum Masters and standardizing Agile practices, including Definition of Ready, Definition of Done, and scrum ceremonies
Defining, tracking, and analyzing delivery KPIs to provide visibility into release health, risks, and post-release performance
Ensuring high release quality through testing, security, compliance, and production readiness processes
Identifying and resolving cross-team dependencies, risks, and operational bottlenecks
Managing and optimizing release processes and tools across JIRA, Structure, and CI/CD pipelines
Driving continuous improvement through retrospectives and process optimization.

Required QA Automation Engineer
Description
We are helping financial organizations combat financial cybercrimes such as money laundering and fraud, and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking, which negatively impact the global economy.
Join us as a QA Automation Engineer to conduct automated quality tests in a customer environment.
This role follows a hybrid model, involving being present at our Israel site three times a week, along with occasional travel to our customers' premises.
Responsibilities:
Perform E-2-E solution testing on testing and production environments.
Development of quality assurance and testing policies, standards, and procedures for the solution deployed for the customer.
Work with project stakeholders to determine the appropriate quality initiatives to implement during system development life cycles.
Conduct tests and analyze results to ensure that software meets or exceeds specified standards and/or client and technical requirements.
Coordinate and manage planning of system and/or acceptance tests within a development or integration project.
Build and deploy test pipelines and test processes in the CI/CD environment
Develop smart, stable, and clean code using Python and more - BE & FE tests with various tools
Take part in defining quality processes and standards to meet the company's quality vision
Work in an agile environment, a fast and challenging company with constant learning.

Were looking for a hands-on Full Stack Team Lead for our AI-Powered Content & Monetization Platform - someone with an AI first mindset who enjoys building both scalable backend systems and high-quality user facing experiences across the full stack, while leveraging modern GenAI tools to accelerate development and improve engineering workflows.

Youll lead by doing - building, prototyping, prompt-engineering, and guiding the team in adopting agentic development practices while maintaining architectural clarity across our Streaming & Engagement Platforms.

As part of your role, you will:

Lead a full-stack engineering team (Web, Mobile, Streaming & Engagement Platforms), owning execution and delivery end-to-end.
Stay deeply hands-on - architecting, coding, reviewing, and building production-ready features.
Drive agentic development practices across the full SDLC.
Build rapid functional prototypes - turning product ideas or Figma designs into working cross-platform solutions.
Integrate LLMs into development workflows - including test generation, documentation, CI/CD automation, and internal tooling.
Architect scalable solutions across Web, Mobile (React Native / Flutter), and Streaming & Engagement environments (Smart TVs / CTV).
Ensure high-quality user experiences while maintaining scalable, reliable backend systems across consumer-facing platforms.
Work closely with Product and Design to streamline design-to-code cycles using modern tooling.
Mentor engineers on modern full-stack architecture and AI-assisted development workflows.
Balance speed with technical depth - enabling fast iteration without sacrificing scalability.

we are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key sports moments into engaging experiences for players, teams, and fans.

As part of your role, you will:

Lead full-cycle recruitment processes across multiple departments - with a strong focus on R&D and technological roles - from proactive sourcing through onboarding.
Manage global hiring processes, working with stakeholders across different regions and time zones.
Partner closely with hiring managers and senior leadership to define hiring strategies, role requirements, and evaluation criteria.
Proactively source and engage top talent using LinkedIn Recruiter, AI-driven tools, and additional creative sourcing channels.
Build and maintain strong, diverse talent pipelines aligned with current and future organizational needs.
Ensure a high-quality, structured, and professional candidate experience throughout the entire hiring journey.
Track and analyze recruitment metrics to drive data-informed decisions and continuously improve hiring effectiveness.
Contribute to optimizing recruitment processes and maintaining high standards across the organization.

Required Automation and performance Team Leader
We are helping financial organizations combat financial cybercrimes such as money laundering and fraud, and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking, which negatively impact the global economy.
Join us as a QA Automation and performance TL to lead the Automation and performance team including HO tasks.
This role follows a hybrid model, involving being present at our Israeli site three times a week.
As a Team Lead, you will bridge the gap between high-level quality strategy and hands-on technical execution. You will be responsible for the growth of your team members, the stability of our AI-driven platforms, and the efficiency of our delivery pipelines.
Key Responsibilities:
Leadership & Mentorship: Lead and coach the Automation and Performance team. Set clear goals, conduct code reviews, and foster a culture of technical excellence.
Strategic Planning: Define and implement E2E testing policies, standards, and procedures for solutions deployed to global Tier-1 financial institutions.
Technical Architecture: Design and maintain scalable automation frameworks and performance testing suites using Python.
Stakeholder Management: Partner with R&D, Product, and Delivery stakeholders to align quality initiatives with business roadmaps and system development life cycles.
CI/CD Ownership: Build and optimize test pipelines within CI/CD environments to ensure fast, stable, and reliable deployments.
Performance & Scale: Oversee performance testing strategies to ensure the platform handles massive Big Data workloads without degradation.
Quality Governance: Act as the final authority on system/acceptance testing in NFT, providing risk assessments and "Go/No-Go" recommendations for releases.

We are looking for a Senior Software Developer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

Were growing and looking to hire a Senior Product Manager who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking an experienced Product Manager to lead the discovery, definition, and delivery of impactful product initiatives across Clarotys platform. You will own the product vision and roadmap for your domain, balancing customer needs, technical feasibility, and business goals. This role requires strong product thinking, data-driven decision making, and close collaboration with engineering, design, and go-to-market teams to drive innovation in the CPS space.
Responsibilities:
As a Product Manager, your impact will be:
● Product Discovery & Delivery: Empower the product team to discover and build viable solutions to complex problems that delight customers.
● Lifecycle Ownership: Own the end-to-end product lifecycle, from collecting feedback and defining requirements to ensuring successful releases.
● Strategic Roadmap: Play a key role in the product roadmap planning and prioritization process, synthesizing inputs into a clear product definition.
● Go-To-Market Partnership: Partner with Sales, Marketing, and Customer Success to drive product adoption and support global GTM efforts.
● Cross-Functional Collaboration: Work across horizontal R&D teams to ensure scalable and cohesive product delivery.

We are looking for a Senior Algorithm Engineer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

We are looking for an Algorithm Researcher to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of research, mathematics, and advanced AI, turning complex theoretical concepts into scalable, production-ready algorithms. You will solve high-dimensional real-world problems and contribute directly to mission-critical systems used by leading financial institutions worldwide.
Technology: Python, NumPy, SciPy, Pandas, PyTorch / TensorFlow, LLMs, RAG, vector databases, large-scale data processing
What youll work on:
Designing and developing advanced algorithms for complex financial crime detection challenges
Translating mathematical models and research concepts into scalable production systems
Building and optimizing ML and LLM-based solutions for real-world deployment
Working with transformers, attention mechanisms, sequence modeling, and representation learning
Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
Improving model accuracy, robustness, explainability, and inference efficiency
Collaborating with engineers, data scientists, and domain experts to bring research into production.