Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape AI-driven workflows and enhance investment processes in a dynamic front-office environment.
- Company: Join a leading financial services firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming complex AI concepts into user-friendly tools for investment professionals.
- Qualifications: 3+ years in AI/ML within finance and strong product management experience required.
- Other info: Collaborative culture with a focus on continuous learning and industry trends.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a Product Manager to partner closely with an AI Engineering lead to shape the strategy, development, and rollout of AI‑driven workflows within a front-office environment. This role operates between AI/ML, investment research, and product development teams, requiring enough technical fluency to collaborate with engineers and vendors, paired with strong investment awareness to translate AI capabilities into practical improvements for researchers and portfolio managers.
The successful candidate will define, prioritise, and deliver AI‑enhanced tools that support fundamental Long/Short investment processes, spanning idea generation, research, risk analysis, and portfolio construction. This role requires a deep understanding of equity research workflows and the ability to convert complex AI concepts into intuitive, high‑impact products for investment professionals.
Key Responsibilities- Act as the main link between AI/engineering teams and fundamental L/S investment professionals to identify and prioritise AI opportunities across research and portfolio management workflows.
- Establish the product vision, roadmap, and detailed requirements for AI‑enabled tools and capabilities (e.g., research copilots, document intelligence, signal discovery, workflow automation).
- Oversee the design, implementation, and integration of AI solutions into existing research platforms and portfolio management environments, ensuring smooth adoption by investment teams.
- Produce clear documentation and guidance for PMs and analysts covering use cases, limitations, evaluation criteria, and best‑practice usage of AI tools.
- Lead product demos, training sessions, and iterative feedback loops to drive engagement, measure adoption, and improve product‑market fit.
- Stay informed on industry trends, competitor developments, and emerging AI techniques relevant to fundamental L/S investing, translating insights into forward‑looking product initiatives.
- 3+ years working with AI, machine learning, or advanced analytics within financial services or investment‑related contexts.
- 2+ years of product management or similar product ownership experience.
- Strong understanding of fundamental equity research and the day‑to‑day workflows of Long/Short investment teams (idea generation, modelling, risk oversight, portfolio construction/monitoring).
- Experience partnering directly with investment professionals and demonstrating clear workflow or performance impact through technology.
- Ability to engage in technical conversations around AI/ML (LLMs, model evaluation, data considerations) and communicate these topics clearly to non‑technical stakeholders.
- Excellent written and verbal communication abilities, including comfort presenting to senior investment leaders and running hands‑on training with PMs and analysts.
- Demonstrated product thinking and problem‑solving skills, with a track record of turning loosely‑defined investment problems into adopted, shipped products.
- Interest or experience in scaling AI capabilities across a broader portfolio management and research ecosystem.
AI Product Manager - Front Office in Slough employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager - Front Office in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI product management. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AI and product management. Include case studies or projects where you've successfully integrated AI into workflows. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss AI concepts and how they apply to investment processes. Practice explaining complex ideas in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in our roles. Tailor your application to highlight your relevant experience and how it aligns with the job description. It shows you're serious about joining our team!
We think you need these skills to ace AI Product Manager - Front Office in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Product Manager. Highlight your experience with AI, machine learning, and investment workflows. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how you can bridge the gap between tech and investment teams. Let us know what makes you the perfect fit for this role.
Showcase Your Communication Skills: Since this role involves liaising with both technical and non-technical stakeholders, demonstrate your ability to communicate complex ideas clearly. Include examples of how you've done this in past roles to impress us!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Caspian One
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss how these technologies can enhance investment processes. Familiarise yourself with key concepts like LLMs and model evaluation, so you can engage in technical conversations with the engineering team.
✨Understand the Investment Landscape
Dive deep into the world of Long/Short investing. Understand the day-to-day workflows of investment professionals and be prepared to discuss how AI can improve their processes. This will show that you not only know the tech but also how it applies in a practical context.
✨Prepare for Product Management Questions
Expect questions about your product management experience. Think of specific examples where you've turned complex problems into successful products. Be ready to explain your approach to defining product vision and prioritising features based on user needs.
✨Showcase Your Communication Skills
Since this role involves liaising between technical teams and investment professionals, practice articulating complex ideas clearly. Prepare to demonstrate your ability to present to senior leaders and run training sessions, as effective communication is key to driving engagement and adoption.