Question 1

What makes the AI Product Manager role at Kaltura unique?

Accepted Answer

This role at Kaltura is unique because it focuses on orchestrating the convergence of a diverse AI stack – including Generative Video, Speech AI, LLM, and RAG – into a unified, real-time 'Face-to-Face' conversational engine for enterprise solutions. You will own the fusion of these technologies, transforming video into a dynamic, multimodal interface.

Question 2

What specific AI technologies will I work with as an AI Product Manager at Kaltura?

Accepted Answer

As an AI Product Manager at Kaltura, you will work with advanced technologies such as Latent Diffusion for visuals, Transformer-based Speech AI (ASR/TTS), and LLM & RAG layers. This involves optimizing for minimal Time-to-First-Token (TTFT) and managing vector database selection and embedding models for RAG pipelines.

Question 3

How does Kaltura ensure AI accuracy and minimize hallucinations in its products?

Accepted Answer

Kaltura places a strong emphasis on ensuring AI accuracy by grounding responses in enterprise data and strictly minimizing hallucination rates. The AI Product Manager will lead the strategy for the cognitive layer, focusing on optimizing context window usage and validating information against reliable sources.

Question 4

What is Kaltura's approach to real-time conversational AI?

Accepted Answer

Kaltura's approach to real-time conversational AI involves integrating multi-model architectures—Latent Diffusion, Speech AI, and LLMs—into a seamless loop. The goal is to create a low-latency 'Face-to-Face' conversational engine, optimized for minimal Time-to-First-Token, crucial for responsive enterprise interactions.

Question 5

What educational background is ideal for an AI Product Manager at Kaltura?

Accepted Answer

Kaltura ideally seeks candidates with an MSc or PhD in a Machine Learning field, or an equivalent advanced technical degree. This educational background provides the foundational knowledge necessary to manage a holistic multi-model ecosystem and understand the fusion of advanced AI architectures.

Question 6

How important is balancing SOTA research with cost for an AI Product Manager at Kaltura?

Accepted Answer

Balancing state-of-the-art (SOTA) research with inference Cost of Goods Sold (COGS) and GPU availability is crucial for this role at Kaltura. The ideal candidate will drive scalable business growth by effectively managing these trade-offs, ensuring that innovative AI solutions are also commercially viable and efficient.

Question 7

Can you describe Kaltura's hybrid work model for this AI Product Manager role?

Accepted Answer

Kaltura offers a hybrid, flexible work environment for this AI Product Manager role. While the company has offices in New York, London, Singapore, and Tel Aviv, and its technology is cloud-based, the hybrid model allows for a blend of in-office and remote work, providing flexibility while fostering collaboration.

Question 8

What opportunities for growth exist for an AI Product Manager at Kaltura?

Accepted Answer

Kaltura emphasizes continuous growth and evolution, offering personal and professional development programs. With a long line of products, a rich collaborative culture, and a fast-paced environment that encourages initiative, an AI Product Manager will find ample room to expand their expertise and impact within the company.

AI Product Manager

Kaltura

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The Role: AI Product Manager

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