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- Tasks: Drive AI adoption and prototype solutions with engineering teams.
- Company: Global tech leader in the fintech space.
- Benefits: Competitive salary, flexible working options, and career advancement.
- Why this job: Shape the future of AI in a fast-paced environment.
- Qualifications: 6+ years in technical product management and machine learning expertise.
- Other info: Exciting opportunity to work on innovative AI projects.
The predicted salary is between 43200 - 72000 £ per year.
A global technology company is seeking a Technical Product Manager to drive AI adoption across its platforms. The role involves working closely with engineering teams to prototype solutions, analyze complex datasets, and implement governance frameworks.
Candidates should have at least 6 years of experience managing technical products and a strong foundation in machine learning workflows. This position offers a unique opportunity to shape the future of AI in a fast-paced fintech environment.
Senior PM, ML & GenAI Platform employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior PM, ML & GenAI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your experience with machine learning workflows. This will give you an edge when discussing your background.
✨Tip Number 3
Prepare for those interviews! Brush up on technical questions related to AI and product management. We recommend practicing with a friend or using mock interview platforms.
✨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 Senior PM, ML & GenAI Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing technical products, especially in AI and machine learning. 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 and how your skills can drive adoption across our platforms. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since this role involves working closely with engineering teams, make sure to highlight your technical expertise. Mention any specific tools or methodologies you’ve used in machine learning workflows that could benefit us.
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 Wise
✨Know Your AI Stuff
Make sure you brush up on your machine learning workflows and AI concepts. Be ready to discuss specific projects you've worked on, especially those that involved prototyping solutions or analysing complex datasets. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Governance Knowledge
Since the role involves implementing governance frameworks, be prepared to talk about your experience with this. Think of examples where you've successfully managed compliance or governance in previous projects. This will demonstrate your ability to handle the responsibilities of the position.
✨Collaborate Like a Pro
This job requires working closely with engineering teams, so highlight your collaboration skills. Share stories about how you've effectively communicated with technical teams in the past, and how you’ve facilitated discussions to drive product development forward.
✨Stay Ahead of the Curve
The fintech environment is fast-paced, so show that you're proactive about staying updated on industry trends. Mention any recent developments in AI or machine learning that excite you, and how you think they could impact the company’s platforms. This will reflect your passion and forward-thinking mindset.
