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our company, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. our companys platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us:
Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide. Were looking for a talented and motivated Frontend Developer (Full-stack with FE orientation is great as well) to join our team and lead client-facing web applications
What youll do:
Lead the development and delivery of our client-facing web applications using modern frontend technologies.
Set high coding standards and ensure best practices are followed across the frontend team.
Collaborate closely with frontend developers, backend engineers, QA, designers and product managers to create seamless and engaging user experiences.
Mentor and support frontend developers, fostering technical growth within the team.
Play a key role in our frontend guild, driving innovation, sharing knowledge, and influencing frontend strategy across the company.

abra is experiencing rapid growth, driven by innovative and flexible technological solutions. We help organizations achieve operational excellence and gain a competitive edge through advanced innovation and a strong focus on performance. To support our growth goals, we are expanding our sales team and looking for a Sales Development Representative (SDR) to identify and qualify potential customers, initiate first contact, and schedule introductory sales meetings. This is your opportunity to enter the world of technology sales and be the first link in driving business success. We are looking for a sharp, entrepreneurial, and highly driven SDR to join our sales team. As an SDR, you will directly contribute to abra’s growth by expanding our customer base, improving the sales process, and enhancing marketing and sales efficiency. Responsibilities:
* Generate interest, open doors, and initiate conversations with potential customers.
* Proactively reach out and respond to inbound inquiries (leads), and schedule meetings for the sales team.
* Conduct introductory calls and establish initial relationships with prospects.
* Work with CRM systems and lead management automation tools.
* Collaborate closely with the sales, business development, and management teams.

The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.

We are looking for a highly skilled Full Stack Developer with 5 years of experience in software development, proficient in Python and React. A passion for creating complex features and solving complex problems, as well as designing and architecting business solutions.
About The Role
Design, develop and maintain high-quality web applications using Python and React.
Develop and maintain clean and efficient code
Troubleshoot and debug issues as they arise
Optimize applications for maximum speed and scalability
Participate in the entire software development life cycle, including planning, design, development, testing, and deployment
Collaborate with product managers, designers, and other developers to identify and solve complex problems
Continuously research and evaluate new technologies to improve the product and the development process.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.
This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.
Responsibilities
Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.
What youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

Were looking for a visionary Automation Engineer - Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.
Responsibilities:
Define, design, and implement automated regression and sanity tests for our ever-evolving product
Take part in ensuring our product quality and robustness
Identify and design the tools needed for efficient automated testing
Define, set up, and maintain our test automation environments and processes
Develop an Automation infrastructure layer and libraries.