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power any video experience for any organization live, on-demand, or real-time. We not only want to make using video simpler, but we also want to better peoples lives through video. Founded in 2006, now a global leader in the video market with millions of people using our products daily to teach, learn, watch, connect, and collaborate. Among our customers, youll find more than 1000 global, well-known organizations.
15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and were still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, youll never run out of room to grow and evolve.

If you dont meet 100% of the requirements below thats okay, nobodys perfect! We believe in hiring people, not just a list of skills. We encourage you to apply if you think this is a role that would make you excited about coming to work every day.

The Role:
You will lead product management for an innovative enterprise video platform, driving strategic product development and AI-powered solutions for large-scale business customers. This is an exciting opportunity to join a dynamic team, working in a fast-paced environment where youll shape the future of virtual event and collaboration technologies.
This role offers a unique opportunity to be at the forefront of digital transformation, helping businesses reimagine their event and communication strategies through cutting-edge technology.

The Day-to-Day:
Define and execute comprehensive product strategies, creating roadmaps that align with business goals and customer needs
Collaborate closely with cross-functional teams (engineering, sales, marketing, customer success) to drive product development and go-to-market initiatives
Identify and implement AI-driven capabilities to enhance video experiences, personalization, and content intelligence
Track and analyze key performance indicators (KPIs), leveraging data-driven insights to iterate and improve product offerings
Engage directly with enterprise customers to understand their complex needs and translate them into actionable product requirements
Lead the development of compelling product messaging and sales enablement materials
Conduct deep market and competitive research to identify emerging trends and innovative opportunities in enterprise video solutions

What will you do?

Lead and manage technological IT and Security projects.

Define the project work plans.

Manage and maintain the project Gantt charts and timelines to ensure on-time successful delivery.

Track the work progress and alert on project risks and potential blockers.

Coordinate and integrate between various internal departments and external stakeholders.

Monitor and balance teams workloads to support productivity and efficiency.

Provide real-time, comprehensive, and prioritized view of all projects.

We are looking for a Senior GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

Required QA Manual & Automation Engineer
As a QA youll be an integral part of a dynamic scrum team that is at the forefront of innovation, developing our cutting-edge web video editor. Youll collaborate closely with the R&D team lead, developers, product managers, analysts, and other QA & Automation team members to ensure the product meets the highest quality standards. By designing and executing tests to identify bugs and working hand-in-hand with developers to resolve them, youll play a pivotal role in creating an exceptional user experience for a product that truly makes an impact.
What youll do:
Manage the full quality lifecycle (planning, monitoring, and testing) for new and existing features.
Track and monitor the QA and product environment status.
Analyze requirements and design test plans for new features and regression testing.
Execute manual and automated tests according to the designed test plans.
Report and track bugs to a high standard using Jira software.
Monitor the production environment, identify issues, and take the necessary corrective actions for resolution.
Collaborate with developers and other stakeholders.
Work with different technologies and tools, including: Azure Cloud, K8S, SQL, Swagger, Postman, Chrome Devtools, Jira, Coralogix, and other internal tools.
Make an impact and contribute to our product.

We are looking for a NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Multimodality AI research we are looking for you!
What youll do:
The teams main focus: NLP & Vision
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.