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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 architectures.
- Other info: Embrace a culture of diversity, equity, and inclusion at Stats Perform.
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... 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...
✨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 have experience in product management. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the challenges and innovations in the field.
✨Tip Number 3
Showcase your understanding of video streaming protocols and cloud processing by discussing relevant projects or experiences in your conversations. This will demonstrate your technical expertise and how it aligns with the role's requirements.
✨Tip Number 4
Prepare to discuss your approach to customer-centric development. Think of examples where you've successfully gathered user feedback and translated it into product improvements, as this is crucial for the role at Stats Perform.
We think you need these skills to ace Product Manager (Artificial Intelligence and Machine...
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Manager position at Stats Perform. Familiarise yourself with their products, especially those related to AI and video architectures.
Tailor Your CV: Highlight your relevant experience in product management, particularly in AI/ML-driven products and video streaming protocols. Use specific examples that demonstrate your analytical mindset and customer-centric development approach.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports tech and your understanding of the media sector. Discuss how your background aligns with Stats Perform's mission and how you can contribute to their innovative products.
Showcase Your Knowledge: In your application, mention any specific projects or achievements related to video editing, content creation, or media production. This will help demonstrate your expertise and fit for the role.
How to prepare for a job interview at Stats Perform
✨Showcase Your Product Management Experience
Make sure to highlight your experience in product management, especially focusing on AI/ML-driven products. Be prepared to discuss specific projects you've managed, the challenges you faced, and how you overcame them.
✨Demonstrate Knowledge of Video Technologies
Since the role involves video architectures, brush up on your knowledge of video streaming protocols like SRT, RTMP, and HLS. Be ready to explain how these technologies can enhance product performance and user experience.
✨Emphasise Customer-Centric Development
Discuss how you have previously engaged with customers to gather feedback and how that has influenced product development. Show that you understand the importance of aligning product features with customer needs.
✨Prepare for Data-Driven Discussions
Given the analytical nature of the role, be prepared to talk about how you use data to inform product strategy. Bring examples of how data analysis has led to successful product decisions in your past roles.
