At a Glance
- Tasks: Design and deliver AI solutions that transform workflows and enhance productivity.
- Company: Fast-growing premium ticketing marketplace in London with a dynamic culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative team and make a real impact in a thriving industry.
- Why this job: Be the bridge between business and engineering while shaping the future of AI automation.
- Qualifications: Experience in product management or business analysis with a focus on AI solutions.
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 Slough 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 teams while enjoying a hybrid work model that fosters both in-person connections and remote flexibility. The company prioritises employee growth, offering opportunities to lead impactful projects and develop your skills in a supportive environment that values creativity and measurable results.
Contact Detail:
Green - Recruiting Made Simple Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Product Manager in Slough
✨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! Create a portfolio or case studies that highlight your experience with agentic systems and AI products. This will give you an edge when chatting with hiring managers and help them see your value.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business aspects of the role. Be ready to discuss how you've translated workflows into structured requirements and how you can bridge the gap between teams.
✨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 are proactive about their job search!
We think you need these skills to ace AI Automation Product Manager in Slough
Some tips for your application 🫡
Know Your Stuff:Make sure you really understand how LLM-powered agentic systems work. We want to see that you can talk the talk and walk the walk when it comes to multi-step reasoning and tool calling. Show us your knowledge in your application!
Tailor Your Application:Don’t just send a generic CV and cover letter. We’re looking for someone who can bridge the gap between business and engineering, so highlight your experience in both areas. Make it clear how your background fits with what we need.
Be Clear and Structured:When writing your application, keep it clear and structured. Use bullet points or headings if it helps. We want to see that you can write requirements that engineers can easily understand, so show us your skills right from the start!
Apply Through Our Website:We encourage you to apply through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 tool calling, memory, and escalation logic 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 navigate different perspectives 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. Bring examples of how your previous projects have led to tangible improvements in efficiency or customer satisfaction, as this will resonate well with the hiring team.
