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- Tasks: Lead the development of innovative AI solutions for enterprise clients.
- Company: A top AI solution provider based in Greater London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: 4+ years in product management with expertise in ML and generative AI.
- Other info: Collaborative environment with a focus on innovation and leadership.
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 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
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend AI meetups or conferences. This can help us get our foot in the door and learn about unadvertised opportunities.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your experience with ML-powered products and generative AI technologies. This will give potential employers a clear view of what we can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical knowledge and leadership skills. We should be ready to discuss how we've successfully managed cross-functional teams and driven projects from development to launch.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that you’re genuinely interested in joining our team and contributing to AI solutions.
We think you need these skills to ace GenAI Product Lead for Enterprise AI Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML-powered products and generative AI technologies. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how your leadership skills can drive our projects forward. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone with a strong technical background, make sure to include specific examples of your work with AI technologies. We love seeing how you’ve tackled challenges in previous roles!
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 – just a few clicks and you’re done!
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
Research the company’s existing AI products and solutions. Be ready to discuss how your experience can enhance their offerings or address any gaps. This shows your genuine interest and proactive approach.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in product management and how you overcame them, especially in the context of ML-powered products.
