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- Tasks: Lead the development of innovative AI-driven financial products from scratch.
- Company: Exciting fintech scale-up focused on intelligent financial solutions.
- Benefits: Competitive salary up to ÂŁ65k, remote work, and a dynamic team environment.
- Why this job: Be at the forefront of AI innovation and shape the future of fintech.
- Qualifications: Experience in launching new products and understanding AI/ML applications.
- Other info: Ideal for those who thrive in ambiguity and want to disrupt the industry.
The predicted salary is between 46800 - 78000 ÂŁ per year.
Let’s not dress this up. Most Product Manager roles in fintech involve “optimising flows”, “refining journeys”, and “incrementally improving conversion”. Important? Sure. Exciting? Not really. This one is different. This is zero to one. This is AI at the core, not sprinkled on top.
We’re working with a fintech scale-up building the next generation of intelligent financial products, automated decisioning, predictive insights, real-time data layers, and genuinely smart user experiences powered by applied AI. They’re looking for a Product Manager who isn’t scared of the unknown. Someone who gets a blank sheet and sees potential, not panic. Someone who loves questions more than answers… at least at first.
You’ll be:
- Leading 0→1 development across AI-first products
- Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value
- Working closely with engineering teams using TypeScript, Node.js, React, and Next.js
- Partnering with data teams working across AWS, Kafka, Spark, and modern data pipelines
- Shaping products built on secure, scalable fintech architecture (Event-driven, microservices, serverless)
- Running discovery experiments and validating concepts at speed
You’ll thrive if you:
- Have shipped 0→1 products, not just maintained existing ones
- Understand how AI/ML actually works in product (beyond buzzwords)
- Are comfortable in high ambiguity and low ego teams
- Can move fast without breaking the trust of regulated environments
- Bring curiosity, rigour, and a bit of healthy disruption
If you want a PM role where the answer already exists in a backlog this may not be the role for you. However, if you want to build the thing everyone else will copy two years from now, let’s talk. Manchester. Remote. AI-first fintech. Zero-to-one builders only.
Senior Product Manager in Manchester employer: MRJ Recruitment
Contact Detail:
MRJ Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with people in the fintech and AI space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your passion for AI and product management! When you get the chance to chat with potential employers, share your thoughts on the latest trends in AI-driven products. This will not only showcase your knowledge but also your enthusiasm for the role.
✨Tip Number 3
Prepare for those tricky interview questions! Think about how you would approach zero-to-one product development and be ready to discuss your past experiences. Use examples that highlight your ability to thrive in ambiguity and your knack for turning ideas into reality.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Senior Product Manager in Manchester
Some tips for your application 🫡
Be Authentic: When you're writing your application, let your true self shine through. We want to see your personality and passion for the role, so don’t be afraid to show us what makes you tick!
Tailor Your Application: Make sure to customise your application to reflect the specifics of the job description. Highlight your experience with zero-to-one product development and AI/ML, as that’s what we’re really looking for!
Show Your Curiosity: We love candidates who ask questions and think outside the box. Use your application to demonstrate your curiosity about the fintech space and how you can contribute to our innovative projects.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re in the loop with any updates!
How to prepare for a job interview at MRJ Recruitment
✨Understand the Zero-to-One Mindset
Before your interview, take some time to really grasp what it means to build products from scratch. This role is all about innovation and creativity, so think of examples from your past where you've taken a concept and turned it into a tangible product. Be ready to discuss how you approach ambiguity and how you thrive in environments where the answers aren't already laid out.
✨Showcase Your AI/ML Knowledge
Since this position revolves around AI-driven products, brush up on your understanding of machine learning concepts and how they can be applied in fintech. Prepare to discuss specific technologies like Python, TensorFlow, or PyTorch, and think of ways you've previously integrated these into product development. This will show that you’re not just familiar with the buzzwords but can actually leverage them.
✨Demonstrate Collaboration Skills
This role requires working closely with engineering and data teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve led cross-functional teams or navigated complex projects. Emphasise your ability to communicate effectively and build trust within diverse teams, especially in high-stakes environments.
✨Prepare for Discovery Experiments
The company values speed and validation, so think about how you’ve run discovery experiments in your previous roles. Be ready to discuss your approach to validating concepts quickly and efficiently. Share specific methodologies you’ve used, such as A/B testing or user feedback loops, and how these have informed your product decisions.
