At a Glance
- Tasks: Lead the development of AI-driven product features for a cutting-edge financial data platform.
- Company: Join AutoRek, a leader in financial data management with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Shape the future of AI in finance and make a real impact on client efficiency.
- Qualifications: Experience in product management and a passion for AI and financial services.
The predicted salary is between 70000 - 90000 £ per year.
AutoRek is a financial data management platform enabling companies to streamline and automate complex and high-volume data management and controls processes. Our customers range from innovative FinTech start-ups to many of the UK and the world’s largest banks, asset managers, and insurance companies. As financial transaction volumes continue to grow alongside increasing regulatory obligations, organisations are under pressure to improve efficiency, strengthen controls, and better manage risk. AutoRek’s platform is designed to meet these demands, and we continue to be a leading player in the market.
We have recently launched ARIA, our embedded AI capability within the AutoRek platform, designed to enhance how our customers manage and automate complex financial data workflows. ARIA builds on our strong foundation in reconciliation, controls, and financial data management, combining deep domain expertise with advanced AI capability. There is a growing volume of AI-driven ideas and use cases emerging from across our customer base, Sales teams, and internal stakeholders. The opportunity now is to shape these ideas into structured, scalable product features that can be consistently delivered, adopted, and embedded within the core platform.
This role is central to ensuring ARIA evolves from a set of promising capabilities into a repeatable, high-impact product offering that delivers tangible value to our clients, improving efficiency, strengthening controls, and reducing operational risk. As an AI Product Lead, you will be responsible for driving the execution of ARIA by turning AI-driven ideas into a structured, prioritised backlog of features that are built, shipped, and adopted. This is a hands-on product execution role, focused on delivery rather than strategy or research. You will work closely with Engineering, Product Leadership, and customer-facing teams to ensure ARIA evolves into a scalable and repeatable product capability.
Requirements
- Strong experience owning and managing a product backlog
- Proven ability to translate ambiguous ideas into clearly defined, shipped features
- Experience working in data-heavy, workflow-driven platforms
- Ability to break down AI, ML, or automation capabilities into incremental, buildable features
- Experience working closely with Engineering teams across design, development, and delivery
- Ability to engage with customers, Sales, and stakeholders to gather inputs and convert them into actionable requirements
- Comfortable operating cross-functionally across Product, Engineering, Sales, and Professional Services
Domain Experience (Preferred)
- Background in financial services (banking, asset management, insurance)
- Understanding of reconciliation processes, financial data flows, operational controls, and risk
- Ability to translate complex operational workflows into product features
Desirable
- Experience working in an FCA regulated environment
- Experience as a Product Manager in a B2B SaaS or platform business
AI Product Manager in London employer: AutoRek
AutoRek is an exceptional employer that fosters a dynamic work culture focused on innovation and professional growth. As a GRC Analyst, you will have the opportunity to develop your expertise in technology risk management while working alongside industry leaders in a collaborative environment. With a commitment to employee development and exposure to cutting-edge technologies, AutoRek offers a rewarding career path in the heart of the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like AutoRek. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Product Manager in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to AutoRek.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on AutoRek's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at AutoRek
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with AutoRek.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at AutoRek will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former AutoRek employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
