At a Glance
- Tasks: Design and deliver AI solutions that transform workflows in a fast-paced environment.
- Company: Join a premium ticketing marketplace in London that's rapidly growing.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with remote teams and drive meaningful change across various departments.
- Why this job: Be the bridge between business and engineering while shaping the future of AI.
- Qualifications: Experience in product management and understanding of LLM-powered systems required.
The predicted salary is between 60000 - 80000 € per year.
Our client, a fast-growing premium ticketing marketplace in London, is hiring an AI Automation Product Manager to design and deliver agentic software solutions built on top of LLMs. This is a hands-on product role for someone who understands how agentic systems actually work — multi-step reasoning, tool calling, memory, escalation logic, human-in-the-loop design — and can translate that knowledge into solutions that solve real operational problems.
You'll embed with internal teams across customer service, sales, operations, marketing and finance to understand how work gets done today, then work with a remote team of AI Engineers to spec and ship AI agents and copilots that meaningfully change how that work gets done. You'll be the bridge between the business and the engineering team. That means you need to speak both languages fluently.
What You'll Do
- Identify, prioritise and define opportunities to replace or augment manual workflows with agentic AI solutions
- Spec out how agents should behave end-to-end — tools they can call, decisions they can make autonomously, when they must escalate to a human, and what guardrails are in place
- Translate business workflows into structured requirements for AI Engineers — agent instructions, tool permissions, data sources, edge cases and acceptance criteria
- Work closely with remote AI Engineers throughout build, testing and iteration
- Design human-in-the-loop experiences where staff can review, approve, edit or override agent outputs
- Define success metrics for each agent and own the evaluation, piloting and rollout process
- Drive adoption across internal teams — training, documentation and ongoing feedback loops
- Maintain a prioritised backlog of agentic automation opportunities
What You'll Need
- Solid understanding of how LLM-powered agentic systems work in practice — tool calling, RAG, memory, orchestration, prompt design, guardrails
- Background in Product Management, Business Analysis or a similar role where you've shipped AI or automation products
- Experience specifying or delivering agentic tools, AI copilots, chatbots or LLM-powered workflow automations
- Ability to write clear, structured requirements that engineers can build from — user stories, workflow diagrams, business rules, edge cases
- Comfortable working with a remote engineering team and acting as the day-to-day product bridge
- Strong stakeholder management — able to work across technical and non-technical teams with equal ease
- Commercially minded: focused on measurable impact, not impressive demos
Bonus Points For
- Hands-on experience with agentic frameworks or tools — LangChain, LangGraph, CrewAI, AutoGen, or similar
- Experience with orchestration and automation platforms like n8n, Make or Zapier
- Familiarity with evaluation, red-teaming or safety design for agentic systems
- Background in e-commerce, marketplaces, ticketing or customer service operations
- Experience with tools like Retool, Intercom, Zendesk or HubSpot in an automation context
Location
Hybrid — 2-3 days per week in our client's Victoria, London office. The AI engineering team is remote, and this person is the critical link between them and the wider business — so being visible and trusted in-person matters.
If you know how agentic systems work, can get under the skin of how a business operates, and want to ship AI products that make a genuine difference to how people work — please apply or send your CV.
AI Automation Product Manager in City of London employer: Green - Recruiting Made Simple
Join a dynamic and innovative premium ticketing marketplace in London, where your role as an AI Automation Product Manager will be pivotal in shaping the future of operational efficiency through cutting-edge AI solutions. With a strong emphasis on collaboration, you'll work closely with diverse internal teams and a remote engineering group, fostering a culture of creativity and continuous improvement. Enjoy the benefits of a hybrid work model, professional growth opportunities, and the chance to make a meaningful impact in a fast-paced environment that values both technical expertise and business acumen.
Contact Detail:
Green - Recruiting Made Simple Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Product Manager in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Automation Product Manager role.
✨Tip Number 2
Showcase your skills in action! If you've worked on any projects involving LLMs or agentic systems, create a portfolio or case study. This will help you stand out and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business aspects. Be ready to discuss how you can bridge the gap between engineering and business teams, as this is crucial for the role. Practice common interview questions related to product management and AI.
✨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 you can contribute to the team.
We think you need these skills to ace AI Automation Product Manager in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Automation Product Manager. Highlight your experience with LLMs and agentic systems, and don’t forget to mention any relevant projects that showcase your skills in product management and automation.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for this role. Be sure to connect your experiences with the specific responsibilities mentioned in the job description.
Showcase Your Communication Skills:Since you'll be the bridge between business and engineering teams, it's crucial to demonstrate your ability to communicate effectively. Use clear and concise language in your application to show that you can translate complex ideas into understandable terms.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents directly to our hiring team!
How to prepare for a job interview at Green - Recruiting Made Simple
✨Know Your Agentic Systems
Make sure you brush up on your understanding of LLM-powered agentic systems. Be ready to discuss how multi-step reasoning, tool calling, and memory work in practice. This knowledge will help you demonstrate that you can bridge the gap between business needs and engineering solutions.
✨Speak Both Languages
Since you'll be the link between technical and non-technical teams, practice articulating complex concepts in simple terms. Prepare examples of how you've successfully communicated requirements to engineers in the past, as this will show your ability to translate business workflows into structured requirements.
✨Showcase Your Stakeholder Management Skills
Be prepared to discuss your experience working with various stakeholders. Highlight specific instances where you’ve managed expectations and driven adoption across teams. This will illustrate your ability to work collaboratively and ensure everyone is on board with AI solutions.
✨Demonstrate Commercial Mindset
Focus on measurable impact rather than just impressive demos. Think about how you can quantify the success of AI products you've worked on before. Bring data or case studies to the interview that showcase your results-driven approach, as this aligns perfectly with what the company is looking for.
