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- Tasks: Lead product strategy for AI-driven sports media products and collaborate with cross-functional teams.
- Company: Join Stats Perform, the leader in sports tech, transforming data into innovative insights.
- Benefits: Enjoy premium healthcare, ~25 days vacation, flexible work options, and access to learning platforms.
- Why this job: Be part of a diverse team driving innovation in sports media with cutting-edge AI technology.
- Qualifications: 5+ years in product management, with expertise in AI/ML and video streaming protocols.
- Other info: Opportunity to shape the future of sports data and media production.
The predicted salary is between 43200 - 72000 £ per year.
Stats Perform is the market leader in sports tech. We provide the richest and most trusted sports data available and are at the forefront of the latest advancements in AI and machine learning to turn this data into something magic. We entwine our extensive back-catalogue of data in with innovative products and machine-learning to deliver insights, predictions, and super-fast data for a variety of sporting organisations worldwide, plus the biggest names in media and broadcast. Product Manager with expertise in the sports media industry and with experience in video architectures and artificial intelligence pipelines to manage a new product line and an existing video-based AI product, Opta Vision. Product Strategy: Define and maintain a cohesive roadmap for video and AI related products. Craft detailed product requirements and collaborate with engineering, design, marketing, and customer support teams to ensure timely, high-quality product development and launches. Customer-Centric Development: Performance Monitoring: Minimum of 5 years in product management, including at least 2 years focused on AI/ML-driven products. Proven experience building products or platforms for content creation, video editing, or media production. Strong knowledge of video streaming protocols (e.g., SRT, RTMP, HLS), cloud processing, encoding/transcoding, and performance optimization. Analytical mindset with a data-driven approach to product strategy. Experience managing multiple products and product managers. Knowledge of sports data and data feeds and a deep understanding of its application in the media sector. Premium medical care – Fully covered top-tier private healthcare. ~25 Days of vacation – Plus extra days based on your length of service. ~ Flexible work options – Hybrid work mode (role-dependent). ~ Career and professional growth – Learning programs & access to Udemy, O\’Reilly, and more. Diversity, Equity, and Inclusion at Stats Perform At Stats Perform, diversity drives innovation. We are committed to building an inclusive, welcoming workplace where everyone is valued and respected. Our DEI goals are at the heart of our culture, ensuring we better serve our clients and communities. #
Product Manager (Artificial Intelligence and Machine Learning ML) employer: Stats Perform
Contact Detail:
Stats Perform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager (Artificial Intelligence and Machine Learning ML)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to sports media. This knowledge will not only help you understand the products better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the sports tech industry, particularly those who work with video architectures and AI products. Attend relevant conferences or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Showcase your analytical mindset by preparing examples of how you've used data-driven approaches in previous product management roles. Be ready to discuss specific metrics or outcomes that demonstrate your impact on product strategy.
✨Tip Number 4
Research Stats Perform's existing products, especially Opta Vision, and think critically about potential improvements or new features. Being able to present your ideas during the interview can set you apart from other candidates.
We think you need these skills to ace Product Manager (Artificial Intelligence and Machine Learning ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, particularly in AI/ML-driven products and the sports media industry. Use specific examples that demonstrate your expertise in video architectures and data-driven product strategies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports tech and how your background aligns with Stats Perform's mission. Mention your understanding of video streaming protocols and your analytical mindset, showcasing how these skills will contribute to the role.
Showcase Relevant Projects: If you have worked on projects related to video editing, media production, or AI pipelines, include them in your application. Detail your role in these projects and the impact they had, as this will demonstrate your hands-on experience.
Highlight Collaborative Skills: Since the role involves collaboration with various teams, emphasise your ability to work cross-functionally. Provide examples of how you've successfully partnered with engineering, design, marketing, and customer support teams in previous roles.
How to prepare for a job interview at Stats Perform
✨Showcase Your AI/ML Knowledge
Make sure to highlight your experience with AI and machine learning during the interview. Be prepared to discuss specific projects you've worked on, particularly those related to video architectures and how you've applied AI in product management.
✨Demonstrate Customer-Centric Thinking
Since the role focuses on customer-centric development, come equipped with examples of how you've gathered customer feedback and used it to shape product strategy. This will show that you understand the importance of aligning products with user needs.
✨Familiarise Yourself with Video Streaming Protocols
Brush up on your knowledge of video streaming protocols like SRT, RTMP, and HLS. Being able to discuss these technologies confidently will demonstrate your technical expertise and understanding of the media production landscape.
✨Prepare for Questions on Performance Monitoring
Expect questions about how you've monitored product performance in the past. Be ready to share metrics you've tracked and how you've used data to inform product decisions, showcasing your analytical mindset.
