AI Product Manager

This is us

Kaltura’s (NYSE:KLTR) mission is to 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 people’s lives through video. Founded in 2006, Kaltura is 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, you’ll 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 we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

Kaltura has 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, you’ll never run out of room to grow and evolve.

If you don't meet 100% of the requirements below - that's okay, nobody's 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.

Requirements:

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:

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