At a Glance
- Tasks: Lead a team to deliver innovative AI products from vision to launch.
- Company: Multiverse, a forward-thinking tech company based in Edinburgh.
- Benefits: Hybrid work model, generous time off, and health benefits.
- Other info: Join a dynamic team with opportunities for growth and creativity.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Proven product launch experience and strong leadership skills in AI engineering.
The predicted salary is between 60000 - 75000 £ per year.
Multiverse in Edinburgh is seeking a hands-on Product Owner to take full accountability for product delivery, from initial vision to live product. In this role, you will lead a team and actively participate in coding, driving quick iterations based on customer feedback.
Ideal candidates will have a proven record of launching products and a strong grasp of AI engineering, along with exceptional leadership skills. The position offers a hybrid working model, generous time off, and health benefits.
AI Build Lead: Player‑Coach Delivering Live AI Product in Edinburgh employer: Multiverse
Multiverse is an exceptional employer located in the vibrant city of Edinburgh, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have the opportunity to lead a talented team while actively engaging in hands-on coding and product development. The hybrid working model, generous time off, and comprehensive health benefits further enhance the rewarding experience of being part of a forward-thinking company dedicated to delivering cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Build Lead: Player‑Coach Delivering Live AI Product in Edinburgh
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Multiverse!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Multiverse would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Multiverse through your school's career services!
We think you need these skills to ace AI Build Lead: Player‑Coach Delivering Live AI Product in Edinburgh
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Build Lead: Player‑Coach Delivering Live AI Product, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Build Lead: Player‑Coach Delivering Live AI Product position at Multiverse. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Multiverse
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
