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As a Technical Support Analyst, you will provide 1st and 2nd tier support for Innovid's products, liaising between teams, troubleshooting issues, and documenting findings. You'll also script data reports and work closely with clients.

The Senior Product Manager for Identity will drive success in Innovid's Identity solutions, enhancing ad delivery and measurement products by engaging with customers and managing a portfolio to increase revenue streams.

The Solutions Engineer resolves complex platform issues, supports client configurations, engages with technical partners, and maintains internal documentation.

You will develop and maintain core applications, engage in full stack development, collaborate on projects, and ensure application performance.

As Senior Product Manager, Social, you'll drive strategy and manage initiatives for Innovid's social advertising product suite, ensuring alignment across teams and improving client outcomes.

The Strategic Client Success Director drives multi-account success by leading initiatives, managing renewals, and mentoring teams while ensuring exceptional delivery and revenue growth.

The Director of Sales will drive engagement with advertisers, expand the customer base, and manage partnerships, utilizing Innovid's ad management platform to meet sales targets and enhance client satisfaction.

As a Solutions Architect at Innovid, you will lead the design and delivery of custom solutions for clients, focusing on technical implementations, project management, and customer interactions to address business challenges.

The Director of Product Measurement will lead the strategy and development of advanced measurement solutions, focusing on ad performance measurement and product growth. Responsibilities include defining product roadmaps, partnering with engineering teams, and influencing go-to-market strategies.

The Data Scientist II role involves collaborating on AI projects, developing generative AI applications, and experimenting with advanced statistical techniques to provide data-driven insights. Responsibilities include working on AI workflows, knowledge retrieval pipelines, prompt engineering, and evaluating AI outputs.