At a Glance
- Tasks: Lead the development of innovative AI-driven financial products and manage global stakeholder relationships.
- Company: Join a leading global Professional Services firm in Central London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Flexible working hours with a focus on teamwork and innovation.
- Why this job: Be at the forefront of AI technology in fintech and make a real impact.
- Qualifications: 5+ years in product management with consulting experience in regulated environments.
The predicted salary is between 81000 - 99000 £ per year.
Transactional / Financial Data / Agentic AI Product Manager is required to join a global Professional Services business based in Central London. This role is mainly office based in their Central London offices circa 3-4 times per week and this is unfortunately non-negotiable. However, from week to week there could be some flexibility around this, but it has to be the mentality that you will be physically present in the office more often than not.
This Product Manager will have a heavy Consulting background, who understands how to navigate through hardened Development Teams, both onshore and offshore, along with Senior Global Stakeholders. Our client has described that they would almost want this person to understand ‘Consulting on Steroids’, as this is the mentality that will be required for this role.
Most of the initial part of the role will be trying to help to formulate a plan to bring the best parts of 3 Products into one, keeping the Stakeholders happy along the way and trying to get the best out of several development teams in order to create the successes required. You will have tasks like retaining client data and growing new data sets etc.
We need someone who thinks like this:
- How do I transform a product through emerging AI and data technologies?
- How do I evolve a product for the future of AI-powered decision making?
- How would I plan to imbed AI Agents?
- With something as complex as this, in terms of the sheer amount of Transactional and Data information involved, how would I plan to tag AI agents with the right amount of knowledge?
- How do I communicate this to the business, ready for launch?
- How would I get the best out of the various development teams I will be working with?
- Am I business heavy enough to be dealing with extremely experienced business stakeholders globally?
- Do I understand Transactional Models enough to be able to perform well in this role?
- Have I commercialised transaction intelligence through data and AI?
Coming from a heavily regulated environment such as Accounting, Financial Services, Fintech, Legal, Assurance etc is ESSENTIAL. You must have experience with firms with solid governance, compliance and regulatory boundaries. We could even look at individuals coming from AI / Data / Transactional Business start-ups who have had some form of consulting experience.
In summary – A Product Manager with exposure in a heavily regulated & consulting environment…with a fantastic attitude. Someone who also has consulting experience and wants to work with some cutting-edge products at the forefront of technology. You will also be able to give strong examples of success in topics such as handling last minute changes to priorities, along with a proven ability to deliver key solutions.
As this has global coverage, there may be some early / late calls. You must be prepared for this. There will be give and take with times, along with some flexibility if things are becoming quite taxing. However, we want someone dedicated and definitely not someone who wants a hardened 9am – 5pm kind of position!
Experience required:
- At least 3 years’ experience as a Product Manager in a complex, professional global environment
- Consulting experience with experience of Transactional-Type business models
- AI experience where you have preferably launched Agentic AI related products, with an ability to provide proven examples of this
- Familiarity with AI/ML or data extraction (e.g., NLP) preferred
- Understanding of how to set up AI agents
- Experience of communicating with 3rd Party suppliers, along with knowing how to get the best out of them
- Global experience is essential with the appreciation this is Global coverage, sometimes working outside of a standard 9am to 5pm structure
- Strong passion for new technologies
- Knowledge of developing, analysing and designing digital products and software applications
- Strong stakeholder management skills at all levels with excellent communication skills both verbal and written
- Strong understanding of Agile
- Proactive self-starter capable of managing multiple priorities in a fast-paced environment
- Knowledge of MS Office productivity, communication & collaboration technologies
- Effectively demonstrate teamwork skills, problem solving skills, initiative and integrity
- Excellent English language proficiency and good interpersonal communication skills
This is an excellent opportunity and salary is dependent upon experience.
Transactional Product Manager, Big4, AI, NLP, LLM, Fintech, Regulatory employer: NLP PEOPLE
RedTech Recruitment Ltd. is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge AI research, employees benefit from comprehensive support for professional growth, competitive salaries, and a flexible hybrid working model that promotes work-life balance. Join a team where your contributions to novel NLP and LLM approaches will be valued and recognised, making a meaningful impact in the fast-evolving tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Transactional Product Manager, Big4, AI, NLP, LLM, Fintech, Regulatory
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like NLP PEOPLE!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at NLP PEOPLE would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at NLP PEOPLE through your school's career services!
We think you need these skills to ace Transactional Product Manager, Big4, AI, NLP, LLM, Fintech, Regulatory
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Transactional Product Manager, Big4, AI, NLP, LLM, Fintech, Regulatory, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Transactional Product Manager, Big4, AI, NLP, LLM, Fintech, Regulatory position at NLP PEOPLE. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at NLP PEOPLE
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
