AI Product Manager

The role:

Kaltura is the global powerhouse of video experience, trusted by the world’s leading enterprises. We are redefining the medium itself—transforming video from a passive format into a dynamic, Multimodal interface. We are seeking a visionary AI Product Manager to orchestrate the convergence of our diverse AI stack into a cohesive, real-time product.

You will not just manage a feature; you will own the fusion of these technologies. From Generative Video models that render lifelike avatars, to Speech AI engines (ASR/TTS) that handle nuanced voice interaction, to the LLM & RAG layers that provide the "brain" and context—you will lead the strategy that turns these individual components into a unified, low-latency "Face-to-Face" conversational engine for the enterprise.

The day-to-day

• Strategic Collaboration: Partner closely with the Head of AI and Head of Product to align the generative media roadmap with technical constraints.
• Orchestrate the Multi-Model Stack: Define the product vision for a complex architecture—integrating Latent Diffusion for visuals, Transformer-based Speech AI, and LLMs—into a seamless real-time loop optimized for minimal Time-to-First-Token (TTFT).
• Advance Video Generation Tech: Spearhead the deployment of diffusion-based video synthesis and neural rendering.
• Establish Benchmarks: Set standards for temporal consistency, high-fidelity lip-sync, and dynamic avatar behaviors that meet enterprise bitrate standards.
• Optimize the "Brain" (LLM & RAG): Lead the strategy for our cognitive layer, overseeing Vector Database selection and embedding models for RAG pipelines.
• Ensure Accuracy: Ground AI responses in enterprise data, strictly minimizing hallucination rates and optimizing context window usage.

Ideally, we’re looking for:

• 5+ years of experience in product management or a related technical field.
• MSc or PhD in a Machine Learning field (or equivalent advanced technical degree).
• A visionary capable of managing a holistic multi-model ecosystem where Video Generation, Speech AI, and LLM/RAG architectures intersect.
• Ability to balance SOTA research with inference COGS and GPU availability to drive scalable business growth.
• Deep understanding of the fusion between Generative Video models, Speech AI engines, and LLM layers.

These would also be nice:

• Proficiency in optimizing for low-latency conversational engines.
• Experience managing enterprise-grade video ecosystems.
• Familiarity with minimizing hallucination rates in cognitive layers.

The perks:

1. Hybrid, flexible work environment
2. Extended private health (including mental) insurance
3. Personal and professional development programs
4. Occasional Cross company long weekends