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we are looking for a Annotation Specialist.
This position offers the opportunity to support cutting-edge technology work.
Responsibilities:
Responsible for analyzing and labeling data as part of our product manufacturing processes.
Responsible for ensuring the accuracy, completeness, and overall quality of the data at the customer site
provides fast, precise, and professional responses to special requests from the customer.
Take part in product improvement and work optimization.
Be at the center of the company's endeavors.
Be a crucial part of the companys product quality.
Takes a proactive part in the configuration of projects

we are looking for a Knowledge & Quality Specialist.
As a Knowledge and Quality Specialist, you will be a member of the team that ensures the quality of the data the company provides its clients.
As part of this, the Knowledge and Quality Specialist is responsible for building and maintaining a knowledge base on the basis of which data analysis is performed, as well as for quality control processes and quality improvement processes of data analysis, and for training analysts and improving processes.
Responsibilities:
Data analysis based on dashboards
Specialization in the type of data analyzed by the company
Specialization in labeling and quality control systems
Improvement and development labeling and quality control systems and features
Performance of quality control tests
Development and implementation of learning and training sets
Collaboration with operation, outsource, development and QA teams

we are looking for a Deep Learning Researcher.
Our algorithms team is responsible for all of the deep learning and computer vision challenges the company is facing, tackling complex real-world problems that directly affect the companys success. Youd be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analyzing large streams of visual data from construction sites, together with 3D models.
What you'll do:
Research and design deep learning solutions for different computer vision problems, using tremendous amounts of visual and 3D data to meet unmatched accuracy and reliability demands.
Own the complete research cycle, from requirements to design, implementation, and benchmarking, producing innovative solutions for core company problems.
Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age.

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.

We are seeking a talented Computer Vision / ML researcher to join our team. The job will focus on developing innovative deep learning solutions for efficient video restoration in new imaging systems. You will be part of an interdisciplinary team developing technologies that will shape future our products.

Deep learning development:
Design, implement, and optimize deep learning models for various tasks in the field of video restoration. Implement and validate models using various datasets.
Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
Analyze the results of your algorithm and compare with other leading methods.
Optimize models for real-time performance and resource efficiency.
Research:
Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for on-device inference.
Explore how algorithm approaches can mitigate artifacts of new imaging systems.
Stay updated with recent advancements in the field.
Collaboration:
Work closely with ML researchers, SW, HW and camera architecture engineers to translate research ideas into robust models and practical systems.

We are seeking a talented, forward-thinking Full Stack Web/WordPress Developer to join our dynamic Marketing department. In this role, you won't just be maintaining legacy code; youll play a key role in building high-performance web applications using a cutting-edge, modern tech stack. If you are passionate about clean code, eager to leverage AI-assisted development to supercharge your output, and love WordPress, we want to hear from you!
Key Responsibilities Responsive Web Development: Design and implement responsive web applications and landing pages using modern web technologies. WordPress Ecosystem: Develop and maintain custom WordPress themes from scratch, across both traditional and headless setups (no bloated page-builders here). Modern frontend : Build and maintain frontend components with a modern JavaScript framework ( React / Next.js) and a utility-first CSS workflow. AI-Assisted Workflow: Utilize modern AI development tools (such as Cursor and Claude Code) to pair-program, accelerate debugging, automate repetitive tasks, and optimize code efficiency. API & CRM Integration: Create and manage custom forms that integrate seamlessly with critical CRM and automation systems. Version Control & Collaboration: Maintain a clean, branch-based Git workflow, participating in code reviews and collaborating with cross-functional teams to deploy features safely. Performance & Scalability: Optimize web applications for Core Web Vitals, ensuring maximum speed, flawless SEO foundations, and scalability. Troubleshooting: Debug issues rapidly across production and staging environments with a methodical, problem-solving mindset.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Required Senior Backend Engineer
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
System Integrity: Building the foundation for high-performance services that directly affect the stability and speed of the entire product.
Operational Excellence: Elevating the team's technical bar through the implementation of robust CI/CD and quality processes.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

Required Senior AI Infrastructure Engineer
As a Senior AI Infrastructure Engineer, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our AI innovation.
Youll Own:
Developing and evolving our machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our AI organization.

We are looking for an Engineering Team Lead to join our Enable group, where we are redefining professional growth with AI. You will build and scale the intelligent mechanisms that power our coaching and enablement suite, crafting the future of how revenue organizations learn and perform.
Youll Own:
Team Evolution & Mentorship: Leading a growing squad of backend and frontend engineers, while coaching and mentoring individuals to reach their full potential.
Roadmap Partnership: Collaborating closely with Product Management to shape the teams roadmap, ensuring the right balance between product milestones and engineering health.
Product Strategy: Moving beyond just execution by partnering with Product and Design to identify how AI can solve unique learning and coaching challenges. You will act as the technical voice in the room, shaping the feasibility and vision of our features.
Technical Ownership: Driving the design and implementation of complex application features. You will be responsible for the architectural choices that ensure our AI-powered learning tools remain intuitive, high-performing, and easy to maintain as we scale.
Youll Solve:
Architectural Complexity: Designing and architecting scalable solutions within a large-scale enterprise platform. You will ensure that as we introduce new AI-native learning features, the system remains modular, maintainable, and high-performing.
Priority Balancing: Navigating the tension between high-velocity feature delivery and the long-term health of the application. You will make the tough, high-level calls on when to iterate quickly and when to invest in structural improvements.
Workflow Efficiency: Identifying and removing roadblocks in the development lifecycle. You will lead by example to foster a culture of continuous improvement, ensuring the team stays agile as we scale our feature set and our team size.
Youll Impact
AI Product Innovation: You will own the development of AI-native products that change how revenue professionals work. You will transform complex data into actionable insights to help our global customer base master their skills and improve their performance.
Engineering and Architectural Excellence: You will define coding standards and ensure the architectural integrity of our application. You will lead the design of robust features that integrate AI capabilities into our user experience while maintaining long-term code quality and system performance.
Customer Empowerment: You will build tools that help people perform at their best. Your work will have a tangible, daily impact on how our users learn and grow within their organizations.
Cultural Leadership: You will build and grow a high-performing team. You will lead by example, scaling our talent and engineering processes to meet our company goals.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Required Engineering Team Lead - Application Infrastructure
Tel Aviv
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

We are seeking a motivated and hands-on Technical Trainer or Customer Enablement Specialist with experience delivering customer and partner training in SaaS environments. The ideal candidate is passionate about helping users adopt new technologies, creating effective learning materials, and delivering engaging training experiences.
In this role, you will own the end-to-end training ecosystem for our Meeting Insights, including course development, training delivery, certification programs, and learning resources. You will work cross-functionally with Product, Customer Success, R&D, and Business teams at HQ and globally to ensure customers, partners, and internal stakeholders are fully equipped to succeed with our platform.
What You Will Gain:
Hands-on experience with cutting-edge Conversational AI technologies in real enterprise environments
A key role in supporting customer adoption and success through effective training and enablement programs.
Deep exposure to both technical and business domains through close collaboration with Product, R&D, and customer-facing teams
Opportunities to grow your expertise in AI, SaaS, and customer enablement, with strong potential for career advancement
The ability to influence product adoption and customer success at scale
Contribution to an award-winning solution, recognized as the Best Use of AI at the UC Awards 2024
About Us:
We bring over 30 years of expertise in enterprise voice services, with a strong track record of innovation in Conversational AI SaaS applications. Our Voice.AI platform powers workplace transformation for more than 50 Fortune 100 enterprises, enabling smarter, AI-driven collaboration.
Meeting Insights, launched in early 2024, has rapidly gained traction with hundreds of customers and POCs. We are now entering an exciting new phase of growth and product evolution.
We are an open, inclusive, and diverse organization where employees are at the heart of everything we build. We offer a flexible, collaborative environment and meaningful opportunities for career growth.
Your mission:
Own and execute the design, development, and delivery of training programs, courses, and certification tracks for Meeting Insights.
Build and maintain a comprehensive knowledge base for internal teams (sales engineers, support, customer success), partners, and customers
Collaborate with Professional Services, partners, and customers worldwide to identify and address training needs
Work closely with Product Management, Technical Writing, and Marketing to develop high-quality onboarding and training materials
Design and deliver hands-on, technical training sessions (virtual and/or in-person)
Continuously improve training effectiveness באמצעות feedback, analytics, and evolving product capabilities.