AI Tech Lead

Description This is us Kaltura (NYSE: KLTR) is a global software company on a mission to transform digital experiences from one-way interactions into intelligent, personalized conversations that move people forward. Founded in 2006, we started by making video more accessible to organizations around the world. Today, we're taking that foundation much further, combining conversational AI, rich media, enterprise knowledge, and data to build a new generation of intelligent digital experiences.

Our technology helps organizations turn their content and knowledge into interactive, AI-powered experiences that can guide customers, train employees, support learners, and engage audiences in real time. From AI agents and personalized learning experiences to digital events, content hubs, and media platforms, we're changing how people interact with technology, and what technology can do for them.

More than 1,000 organizations worldwide rely on Kaltura, reaching over 100 million users at home, at work, and at school. And the people behind it? We're a global team of 600+ employees, with offices in New York, London, Singapore, and Tel Aviv, united by a culture of openness, flexibility, and collaboration. Kaltura is a fast-paced environment where ideas are welcome, initiative is encouraged, and there's always something new to build, challenge, or improve.

We believe in giving people the freedom to make an impact, the flexibility to balance work and life, and the opportunity to grow as we continue to 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. If this sounds like a place where you'd be excited to learn, contribute, and make an impact, we'd love to hear from you.

Requirements

The role Kaltura is looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS. We're not looking for someone who talks about AI strategy. We're looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.

This is an individual contributor role reporting directly to the VP R&D. You'll be embedded in M&T but will work closely with engineering teams across Kaltura R&D — contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together. If you're the kind of engineer who gets restless when there's a better way and no one is building it yet — this role is for you.

The day-to-day Lead AI-driven initiatives across M&T engineering — from scoping and architecture through hands-on execution Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability.

Work across teams and departments — align stakeholders, unblock dependencies, and keep initiatives moving Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in Ideally, we’re looking for: 7+ years of software engineering experience, with at least 3 years focused on AI/ML in production environments Hands-on experience with both Dev (backend services, APIs, microservices) and DevOps (CI/CD, infrastructure, observability, cloud operations) Proven experience building or integrating AI/ML solutions in cloud-native, distributed systems (AWS preferred) Strong understanding of observability concepts: metrics, logs, traces, alerting, anomaly detection T Experience driving technical initiatives across multiple teams without direct authority Excellent communication skills — ability to translate complex AI concepts for non-AI engineers and push for outcomes in a multi-stakeholder environment These would also be nice: Experience with LLMs, RAG pipelines, or AI agents applied to engineering operations (AIOps) Familiarity with Kubernetes, Grafana, or similar operational tooling Background in media tech, video streaming, or telecom platforms Experience with Databricks, MLflow, or similar ML platform tooling Track record of introducing AI tooling that improved team velocity or system reliability at scale The perks: Hybrid, flexible work environment Extended private health (including mental) insurance Personal and professional development programs Occasional Cross company long weekends