Broadcast and Streaming Platform Manager
Are you passionate about shaping the future of live sport and the technology that powers it?
UK jobs. Bigger possibilities.
136,000+ live jobsHybrid in Leeds·Full-time·Added 13 days ago (last checked 29 Sept)
Permanent contract
Full-time.
Hybrid
Office and home days — the ad has the split.
Be near Leeds for hybrid days
No relocation package mentioned.
25 days holiday
Per the ad, which doesn’t say whether bank holidays are on top.
Up to 5% employer pension
Paid in by the employer, per the ad. The legal minimum is 3%.
Nice to have
Benefits include access to DAZN, 25 days’ annual leave (increasing by 3 days after 3 years), private medical insurance, life assurance, pension contributions up to 5%, family friendly community including enhanced parental leave, electric vehicle benefit option, learning and development resources, opportunity for flexible working, and access to our internal speaker series and events.
At DAZN, we're redefining how sports fans around the world experience live and on-demand sport. Behind every seamless stream is a global technology platform operating at massive scale - and our Global Operations teams are at the heart of keeping it running, 24/7.
As an AI Support Analyst, you'll be working at the intersection of cutting-edge AI-driven observability and real-world operational decision-making. You'll help shape how DAZN uses machine intelligence to detect issues earlier, reduce incidents, and continuously improve the reliability of a platform watched by millions of fans during the biggest sporting moments.
The Role
The AI Support Analyst is a key member of DAZN's 24/7 Global Operations Centre, responsible for proactively identifying risks, anomalies and emerging issues across DAZN's OTT and broadcast platforms using AI-powered monitoring and observability tools.
This role bridges human judgement with machine intelligence. You will actively interrogate AI systems through advanced prompting and analytical review, validating insights against live metrics to prevent incidents before they impact customers.
This is not an AI engineering or model-training role. It is an operational, analytical position requiring strong technical awareness, curiosity, and the ability to extract meaningful insight from complex system data at scale.
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