At a Glance
- Tasks: Drive AI product execution and shape AI capabilities for real business impact.
- Company: Join BNY's innovative AI Transformation Office, leading the future of finance.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration across business, data, and engineering.
- Why this job: Be at the forefront of AI innovation and transform how businesses operate.
- Qualifications: Experience in AI product management and strong communication skills required.
The predicted salary is between 80000 - 120000 € per year.
We are looking for a hands-on, AI-forward Product Manager to drive day-to-day product execution within BNY's centralized AI Transformation Office, serving Markets and Execution lines of business.
This is not a BAU product manager hire. Where a traditional PM manages timelines and stakeholder updates, an AI-forward Product Manager actively shapes how AI capabilities are applied - understanding model behavior, evaluating agentic workflow design, and identifying where LLMs create genuine product value versus where they introduce risk. This role sits at the intersection of business, data, and AI engineering - and requires someone who can operate fluently across all three.
- Own end-to-end product delivery for assigned AI initiatives - from use case definition through to deployment and iteration.
- Work hands-on with LOB stakeholders and engineering to define requirements, validate AI outputs, and ensure solutions are fit for purpose.
- Contribute to backlog prioritization and sprint planning alongside Product Owners and engineering leads.
- Evaluate and document AI model behavior, edge cases, and failure modes as part of the product definition process.
- Support consistent governance and delivery standards across the AI Transformation Office.
Vast product management experience, with direct, hands-on involvement in AI or GenAI product delivery.
Required Skills
- Working knowledge of LLMs, prompt engineering, and agentic workflow design - enough to have an informed technical conversation with engineers.
- Experience translating complex business requirements into structured AI product specs.
- Proficiency with AI-native productivity tools across research, documentation, and workflow management.
- Strong communication and stakeholder engagement skills across business and technology teams.
Preferred
- Experience with workflow automation platforms or agentic frameworks.
- Familiarity with RAG pipelines, vector databases, or LLM evaluation approaches.
- Financial services background - Markets, Execution, or related domains.
- Agile delivery experience in a fast-paced, innovation-focused environment.
AI-Forward Product Manager — Director, AI Transformation Office in London employer: BNY Mellon
At BNY, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As part of our AI Transformation Office, you will have the opportunity to work at the forefront of AI technology in a dynamic environment that encourages professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and supportive work culture, making BNY a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Product Manager — Director, AI Transformation Office in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and product management space, especially those at BNY. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with LLMs or AI product delivery, create a portfolio or case studies. This is your chance to demonstrate how you can drive AI initiatives.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of agentic workflows and model behaviour. Be ready to discuss how you’d tackle real-world challenges in AI product management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI-Forward Product Manager — Director, AI Transformation Office in London
Some tips for your application 🫡
Show Your AI Passion:Make sure to highlight your enthusiasm for AI in your application. We want to see how you’ve engaged with AI technologies and how they can drive product value. Share specific examples of your experience with LLMs or any AI projects you've been involved in.
Tailor Your Application:Don’t just send a generic CV and cover letter! We’re looking for candidates who can connect their skills to the specific requirements of the role. Use the job description as a guide and align your experiences with what we’re looking for in an AI-forward Product Manager.
Be Clear and Concise:When writing your application, clarity is key. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make your points clear and concise to ensure we can easily see how you fit the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at BNY Mellon
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, prompt engineering, and agentic workflow design. Be ready to discuss how these concepts apply to real-world scenarios, as this role is all about understanding the technical side of AI and how it can drive product value.
✨Speak Their Language
Since you'll be working closely with both business and tech teams, practice translating complex business requirements into structured AI product specs. Use examples from your past experiences to show how you've successfully bridged the gap between these two worlds.
✨Showcase Your Hands-On Experience
This isn't just about theory; they want to see your hands-on experience in AI product delivery. Prepare specific examples of projects where you’ve been involved in end-to-end product delivery, from defining use cases to deployment and iteration.
✨Engage Stakeholders Effectively
Strong communication skills are key! Think of ways to demonstrate your ability to engage stakeholders across different teams. You might want to share instances where you’ve successfully managed stakeholder expectations or facilitated collaboration between business and engineering teams.
