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- Tasks: Lead AI transformation, prototype solutions, and analyse datasets to shape the future of AI.
- Company: Global tech leader in fintech with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact on AI adoption in a cutting-edge fintech environment.
- Qualifications: Over 6 years in product management, especially with data or machine learning products.
- Other info: Join a dynamic team driving AI innovation and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
A global technology company is seeking a Technical Product Manager to lead AI transformation efforts. You will prototype solutions, analyze datasets, and work closely with engineering to shape the future of AI.
Candidates should have over 6 years of experience in product management, particularly with data or machine learning products. This position offers the chance to significantly impact AI adoption within a leading fintech organization, promoting a culture of collaboration and innovation.
Senior ML/GenAI Platform Product Manager - AI Adoption in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML/GenAI Platform Product Manager - AI Adoption in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data and machine learning products, and think of examples where you've driven AI adoption in previous roles.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and goals. Use our website to find roles that excite you and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Senior ML/GenAI Platform Product Manager - AI Adoption in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, especially with data or machine learning products. We want to see how your skills align 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 transformation and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since this role involves working closely with engineering, make sure to highlight any technical skills or tools you’ve used in previous roles. We love seeing candidates who can bridge the gap between tech and product management!
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 shows us you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss specific projects you've worked on, especially those involving data analysis or product management. This will show your depth of knowledge and passion for the field.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you played a key role in driving innovation and teamwork.
✨Prepare for Technical Questions
Expect some technical questions related to product management and AI. Brush up on your understanding of datasets, prototyping solutions, and the product lifecycle. Being able to speak confidently about these topics will set you apart from other candidates.
✨Demonstrate Your Impact
Think about how your previous work has led to significant outcomes, particularly in AI adoption or product success. Be ready to quantify your achievements and explain how they align with the company's goals. This will help them see the value you can bring to their team.
