AI Tech Lead

Description:

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. 

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:

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