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- Tasks: Lead the charge in enhancing AI products and services for a dynamic Fintech company.
- Company: Join a rapidly growing Fintech firm based in London, focused on innovative AI solutions.
- Benefits: Enjoy a hybrid work model with 2-3 days onsite in London and exciting corporate perks.
- Why this job: Be at the forefront of AI technology, shaping the future of financial services.
- Qualifications: Proven product management experience in AI, with strong analytical and communication skills.
- Other info: Ideal for those passionate about AI and eager to make an impact in Fintech.
The predicted salary is between 43200 - 72000 £ per year.
Product Manager (AI) A Product Manager experienced in AI is needed by a rapidly growing Fintech company based in London. The AI Product Manager will be responsible for improving the products capabilities as well as moving the company along its AI journey to design and deliver new and exciting AI powered products and services. Location: London 2-3 times a week onsite Product Manager (AI) – Requirements Proven experience in product management, with a focus on AI, machine learning, or data-driven products, ideally in the FinTech or financial services industry. Strong understanding of AI technologies, including natural language processing (NLP), machine learning (ML), and generative AI. Experience working with cross-functional teams, including data science, engineering, and customer support, to deliver AI-driven solutions. Demonstrated ability to manage and scale AI products or technologies within a business environment. Excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical audiences. Strong analytical and problem-solving abilities, with a data-driven approach to decision-making. May have some experience in software development with a focus on AI and prompt engineering on LLMs- even if it’s just playing around with your own project. Understanding of machine learning algorithms and techniques, particularly in the context of LLMs/conversational AI Experience with A/B testing and other experimentation methodologies Excellent problem-solving skills and attention to detail, with a passion for delivering high-quality products. Knowledge of credit card products and the broader financial services landscape is a plus. Experience with AI chatbot platforms and tools is highly desirable. Please apply if you are a AI Product Manager!
Product Manager employer: Dragonfly People
Contact Detail:
Dragonfly People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager
✨Tip Number 1
Familiarize yourself with the latest trends in AI and FinTech. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and FinTech sectors. Attend meetups, webinars, or conferences where you can connect with potential colleagues or mentors. Building these relationships can lead to valuable insights and job referrals.
✨Tip Number 3
Showcase your experience with AI technologies by discussing personal projects or contributions to open-source initiatives. Highlighting your hands-on experience with machine learning or natural language processing can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've successfully managed cross-functional teams in the past. Be ready to provide examples of how you’ve collaborated with data scientists, engineers, and customer support to deliver AI-driven solutions, as this is crucial for the role.
We think you need these skills to ace Product Manager
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your proven experience in product management, particularly in AI and machine learning. Use specific examples from your past roles that demonstrate your ability to manage and scale AI products.
Showcase Technical Knowledge: Demonstrate your understanding of AI technologies such as NLP, ML, and generative AI. Mention any hands-on experience you have with software development or personal projects related to AI and prompt engineering.
Emphasize Cross-Functional Collaboration: Illustrate your experience working with cross-functional teams. Provide examples of how you've collaborated with data science, engineering, and customer support to deliver AI-driven solutions.
Communicate Clearly: Since the role requires excellent communication skills, ensure that your application articulates complex technical concepts in a way that is understandable to non-technical audiences. This will showcase your stakeholder management abilities.
How to prepare for a job interview at Dragonfly People
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of AI technologies, especially natural language processing and machine learning. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your expertise in the field.
✨Communicate Clearly
Since you'll need to articulate complex technical concepts to non-technical stakeholders, practice explaining your past projects in simple terms. This will show that you can bridge the gap between technical and non-technical teams effectively.
✨Demonstrate Cross-Functional Collaboration
Be ready to share examples of how you've worked with cross-functional teams, such as data science and engineering. Highlight your role in these collaborations and how they contributed to successful AI-driven solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of specific challenges you've faced in product management, particularly related to AI, and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
