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- Tasks: Lead AI and ML initiatives, transforming ideas into impactful products.
- Company: Innovative tech company in the UK with a focus on AI.
- Benefits: Competitive salary and professional growth opportunities.
- Why this job: Shape the future of AI while collaborating with top talent.
- Qualifications: Extensive product management experience, especially with AI products.
- Other info: Dynamic role with a chance to make a real-world impact.
The predicted salary is between 43200 - 72000 £ per year.
A technology company in the United Kingdom is seeking a Senior AI Product Manager to lead advanced AI and ML initiatives. This role will focus on driving productization from experimentation to real-world business impact, ensuring collaboration across Data Science, Engineering, and Risk teams.
The ideal candidate will bring extensive product management experience, particularly with AI-driven products, and a knack for translating technical performance into customer value.
This position offers competitive compensation and opportunities for professional growth.
Senior AI Product Manager — Risk & ML Platforms employer: Signifyd
Contact Detail:
Signifyd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Product Manager — Risk & ML Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you that Senior AI Product Manager role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI-driven products. When you get the chance to chat with hiring managers, share how you've turned technical performance into real customer value.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out directly to companies you admire, like ours, and express your interest in potential opportunities. You never know what might be available behind the scenes!
✨Tip Number 4
Prepare for interviews by brushing up on collaboration techniques. Since this role involves working with Data Science, Engineering, and Risk teams, be ready to discuss how you’ve successfully led cross-functional projects in the past.
We think you need these skills to ace Senior AI Product Manager — Risk & ML Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML products. We want to see how you've driven productisation and created real-world impact, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of your collaboration with Data Science and Engineering teams, and how you’ve translated technical performance into customer value.
Showcase Your Achievements: When filling out your application, be sure to include quantifiable achievements. We love numbers! Whether it’s increased revenue or improved efficiency, let us know how you’ve made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Signifyd
✨Know Your AI and ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how you've driven productisation in past roles, and have examples of how your work has translated technical performance into real customer value.
✨Collaboration is Key
Since this role involves working closely with Data Science, Engineering, and Risk teams, be prepared to talk about your experience in cross-functional collaboration. Share specific instances where you successfully brought different teams together to achieve a common goal.
✨Showcase Your Product Management Experience
Highlight your extensive product management experience, especially with AI-driven products. Prepare to discuss your approach to managing the product lifecycle, from experimentation to launch, and how you've measured success in previous projects.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's vision for AI and ML initiatives. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company aligns with your career goals and values.
