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- Tasks: Lead product strategy for an innovative AI platform and customer portal.
- Company: Join a cutting-edge company revolutionising machine learning with a powerful PaaS product.
- Benefits: Enjoy flexible working options and access to exciting corporate perks.
- Why this job: Be at the forefront of AI technology and make a real impact in the data journey.
- Qualifications: Strong understanding of data science and machine learning is essential.
- Other info: Work with a dynamic, evolving team of skilled professionals.
The predicted salary is between 43200 - 72000 £ per year.
They are building a cutting-edge, real-time machine learning platform that covers the entire data journey: from ingestion and management to model deployment and monitoring.
What began as an internal powerhouse is now evolving into a Platform-as-a-Service (PaaS) product — enabling clients to build, deploy, and scale machine learning models with ease. They are also developing a Customer Portal that will provide users with seamless access to a suite of tools, including APIs, Power BI reporting, and a unique AI platform.
As Senior Product Manager, you'll lead the product strategy and execution for a proprietary AI product and its Customer Portal.
- A third-party blended delivery team (6+ people, with evolving skill sets)
- A strong understanding of the data science and machine learning lifecycle
✅ Apply now and help us build the future of data and AI
Manager - Product Manager employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager - Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Understanding the current landscape will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data science and product management sectors. Attend relevant meetups or webinars to connect with others who can provide insights or even referrals for the role.
✨Tip Number 3
Prepare to discuss your experience with leading cross-functional teams. Highlight specific examples where you've successfully managed diverse skill sets to achieve product goals, as this is crucial for the role.
✨Tip Number 4
Research the company’s existing products and their Customer Portal. Being able to articulate how you would enhance these offerings will show your initiative and understanding of their business needs.
We think you need these skills to ace Manager - Product Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Product Manager. Familiarise yourself with the machine learning lifecycle and how it relates to product management.
Tailor Your CV: Highlight your experience in product management, especially in AI or machine learning projects. Use specific examples that demonstrate your ability to lead product strategy and execution.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Explain why you're excited about this role and how your skills align with the company's vision for their PaaS product and Customer Portal.
Showcase Leadership Skills: In your application, emphasise your experience leading teams, particularly in a blended delivery environment. Provide examples of how you've successfully managed diverse skill sets to achieve project goals.
How to prepare for a job interview at MBN Solutions
✨Understand the Product Landscape
Familiarise yourself with the company's machine learning platform and its features. Be prepared to discuss how you would enhance the product strategy and execution, especially in relation to the Customer Portal.
✨Showcase Your Leadership Skills
As a Senior Product Manager, you'll be leading a blended delivery team. Highlight your experience in managing diverse teams and how you've successfully driven product initiatives in the past.
✨Demonstrate Knowledge of Data Science
Since the role requires a strong understanding of the data science and machine learning lifecycle, brush up on key concepts and be ready to discuss how they apply to product management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Think of examples where you've tackled challenges in product development or team dynamics, particularly in tech environments.
