Education Requirements:

• Bachelor's degree in a relevant field (Business, Industrial engineering, Economics, etc.) - an advantage

Experience Requirements:

• Strong analytical skills and experience using data to make decisions

• Excellent communication and collaboration skills

• Ability to work independently and prioritize tasks effectively

• Deep interest and understanding of digital advertising, and the CTV ecosystem

• Experience in programmatic ad monetization ecosystem including SSP/DSP platforms and ad servers an advantage

Other Requirements:

• Fluent English, spoken and written - a must

Responsibilities:

• Be responsible for planning and managing programmatic campaigns, display and video on CTV and mobile, including tracking metrics, identifying any issues that may negatively impact performance, and adjusting as necessary

• Optimizing campaigns performance and profitability by analyzing different monetization channels, user behavior, and engagement

• Work closely with the product and engineering teams to implement monetization features

• Analyze market trends and competitor activity to inform monetization strategy

• Monitor and track CTV apps monetization performance, analyzing data and use insights to improve results on our inventory Explore new revenue streams and opportunities

Experience Requirements:

• At least 2 years experience as a product manager / data analyst / developer or similar positions

• Previous Experience in OTT /Streaming / Ad Tech / Gaming

• Familiarity with UI/UX design

• Experience with SQL and DB special Google Bigquery

Other Requirements:

• Proactive person, self learner.

• Project and task oriented person.

• Familiarity with Programmatic basics and relevant industry trends (expert level knowledge not required)-Advantage.

• Knowledge Excel Ad Networks; knowledge of Header Bidding/Wrapper and various ad Formats/Ad Platforms - Advantage

Responsibilities:

• In this role, you will need an understanding in OTT and Streaming, Programmatic Advertising, Integrations (reading API specs), Data, testing, troubleshooting, and more

Experience Requirements:

• At least 5 years experience with selling technology/content / services in one or more of the following: -Broadcast TV ecosystem -Streaming TV ecosystem

• A strong understanding of technology, including broadcast and digital video workflows

• Passion, self-drive and an entrepreneurial attitude

• You have extensive experience navigating complex organizations and closing sales

• Great communication skills customers love you

Responsibilities:

• As part of this position, you will be responsible for building a pipeline of perspective clients and overseeing the sales process from the initial lead generation stage all the way through to the finalization of a deal

Education Requirements:

• B.Sc.

• M.Sc

Experience Requirements:

• 5+ years of experience in software development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• Proficiency in developing SLAM and computer vision algorithms

• Experience working with multiple sensors

• Strong skills in C++/Rust

Responsibilities:

• Develop novel computer vision algorithms in a multi-camera environment

• Own the full cycle of SLAM, calibration, state-estimation, and sensor fusion algorithms

• Develop novel odometry modules for our humanoid robot

• Work closely with the AI team

• Deliver high-performance production code

Education Requirements:

• B.Sc.

• M.Sc

Experience Requirements:

• 5+ years of experience in software development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• AI Enthusiast: Curious about and familiar with AI concepts and the latest developments, with experience in designing complex systems

• Proven experience in designing and integrating complex systems in robotics or related fields

Responsibilities:

• Design and implement the robot’s autonomous architecture

• Build an AI-based robot OS in collaboration with the AI department

• Develop new behaviours to the robot by leveraging algorithms, AI, and software building blocks

• Build reliable and testable software for deployment in the real world

Education Requirements:

• B.Sc.

• M.Sc

Experience Requirements:

• 5+ years of experience in software development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• Strong skills in C++/Rust and Linux

• Experience working with real-time systems and communication protocols

Responsibilities:

• Develop and maintain a system that requires managing high-rate communication streams while ensuring robustness and reliability

• Work on the hardware abstraction layer and robot control functionality

• Collaborate closely with the AI department to integrate state-of-the-art control policies

• Develop in a multi-architecture environment

Education Requirements:

• B.Sc.

• M.Sc

Experience Requirements:

• 5+ years of experience in software development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• Proven experience in developing and deploying deep learning models in a multi-node environment

• Proficiency working with PyTorch and AI pipelines

• Experience developing in the cloud (AWS, GCP) and multi-node environments

Responsibilities:

• Develop a highly modular and high-performance AI infrastructure and pipelines for training, testing, and deployment

• Work in a multidisciplinary environment of deep learning applications

• Collaborate with the software team to ensure fast integration of new AI features

• Write high-quality, optimized, and well-tested code

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years of experience in deep learning development

Other Requirements:

• Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory)

• Proven record of developing state-of-the-art deep learning methods in computer vision

• Experience working on 3D modeling and rendering with neural networks

• Experience developing computer vision algorithms such as detection, segmentation, depth estimation, and tracking

Responsibilities:

• Develop novel deep learning algorithms for a wide range of computer vision tasks

• Design and implement the entire pipeline of data processing, training, and testing

• Work on the cognitive map of the robot, including 3D modeling of the world, semantics, and perception

• Deploy highly optimized models to run in real-time on the robot