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- Tasks: Lead the development of innovative AI solutions and manage cross-functional teams.
- Company: A top AI solution provider in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real difference for clients.
- Qualifications: 4+ years in product management with expertise in ML and generative AI.
- Other info: Join a dynamic team dedicated to transforming businesses through AI.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI solution provider in Greater London is seeking an experienced Product Manager to drive AI solution development for clients. The role requires a technical background with over 4 years of experience in ML-powered products. Ideal candidates should have a strong understanding of generative AI technologies and exceptional leadership skills. You will own projects from development to launch, managing cross-functional teams to ensure alignment and successful product outcomes. Join us to help organizations leverage AI technology effectively.
GenAI Product Lead for Enterprise AI Solutions in London employer: Scale AI
Contact Detail:
Scale AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Product Lead for Enterprise AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend AI meetups. Building connections can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Showcase your expertise! Create a portfolio or blog where you share insights on generative AI and ML-powered products. This not only highlights your knowledge but also demonstrates your passion for the field.
✨Tip Number 3
Prepare for interviews by practising common questions related to product management and AI solutions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI Product Lead for Enterprise AI Solutions in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your experience with ML-powered products and generative AI technologies. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've led!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their expertise with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Scale AI
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in generative AI. Be prepared to discuss specific projects you've worked on, showcasing your technical expertise and how it relates to the role.
✨Showcase Your Leadership Skills
Since this role requires exceptional leadership, think of examples where you've successfully led cross-functional teams. Highlight how you managed conflicts, aligned team goals, and drove projects to completion.
✨Understand the Company’s AI Solutions
Do your homework on the company’s existing AI solutions. Be ready to discuss how your experience can enhance their offerings and what innovative ideas you could bring to the table.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process clearly, demonstrating how you would approach challenges in product development and team management.
