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- Tasks: Identify and analyse anomalies in AI-driven monitoring for live sports streaming.
- Company: Join DAZN, a leader in redefining sports viewing experiences.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and flexible working options.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
- Why this job: Be at the forefront of AI technology in a fast-paced global operations team.
- Qualifications: Experience in technical operations and strong analytical skills required.
The predicted salary is between 30000 - 40000 £ per year.
Department: 61-458 - Technology - Live Operations
Location: UK - Leeds
Why Join DAZN? 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.
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.
What You'll Be Doing:
- Proactively interrogate AI-driven monitoring and observability platforms to identify anomalies, performance degradation and early warning signals.
- Use prompt-based analysis to surface patterns and risks across DAZN’s OTT and broadcast environments.
- Validate AI insights against live dashboards, metrics and telemetry to ensure accuracy and reliability.
- Identify recurring trends and elevate actionable findings to Platform, DSC and Engineering teams.
- Collaborate closely with 1st and 2nd Line Support to correlate AI signals with live incidents and event data.
- Maintain and continuously improve a library of prompts, queries and analytical workflows.
- Produce clear, concise summaries of findings for daily operational reports and shift handovers.
- Feed learnings, false positives and optimisation opportunities back into the AI Operations roadmap.
What You'll Bring:
- Experience in technical operations, monitoring or support roles within a high-availability environment (media, streaming, telecoms or SaaS preferred).
- Strong analytical and problem-solving skills, with the ability to interpret complex, high-volume system data.
- Familiarity with observability and monitoring tools such as Datadog, Grafana, Prometheus, Amplitude or similar.
- Confidence working with AI-assisted tools and the ability to extract insight through effective prompting.
- Excellent written and verbal communication skills, particularly in translating technical findings for non-technical teams.
- Calm, structured approach to investigation, prioritisation and escalation in live environments.
- High attention to detail combined with operational curiosity and continuous‑improvement mindset.
- Willingness to work rotating shifts as part of a 24/7 global operations model.
Benefits: 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.
L1/L2 AI Support Analyst employer: DAZN
Contact Detail:
DAZN Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land L1/L2 AI Support Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DAZN on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into DAZN’s tech stack and recent projects. Show us you’re not just a fan of sports but also passionate about how technology enhances the viewing experience.
✨Tip Number 3
Practice your problem-solving skills! We love candidates who can think on their feet. Try some mock scenarios related to AI monitoring and observability to showcase your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the DAZN team.
We think you need these skills to ace L1/L2 AI Support Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Support Analyst role. Highlight your experience in technical operations and any familiarity with observability tools. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working at DAZN and how your analytical skills can contribute to our global operations. Keep it concise but impactful!
Showcase Your Communication Skills: Since this role involves translating technical findings for non-technical teams, make sure to demonstrate your written communication skills. Use clear and straightforward language in your application to show us you can bridge that gap.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get you on board!
How to prepare for a job interview at DAZN
✨Know Your Tech
Familiarise yourself with observability and monitoring tools like Datadog or Grafana. Be ready to discuss how you've used similar tools in past roles, as this will show your technical awareness and ability to handle high-availability environments.
✨Show Your Analytical Skills
Prepare to demonstrate your problem-solving abilities by discussing specific examples where you've interpreted complex data. Think of situations where you identified anomalies or trends and how you acted on them to improve operations.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to translate your findings for non-technical teams, so being able to convey your insights clearly is crucial. Consider doing mock interviews with friends to refine this skill.
✨Emphasise Your Curiosity
Highlight your operational curiosity and continuous improvement mindset. Share examples of how you've proactively sought out improvements in previous roles, especially in fast-paced environments. This will resonate well with DAZN's focus on innovation.