Technical Product Manager, LLM/ML Domain in London

Technical Product Manager, LLM/ML Domain in London

London Full-Time 70000 - 90000 € / year (est.) No home office possible
Agoda

At a Glance

  • Tasks: Lead the evolution of Agoda's ML & LLM platforms and drive AI-native development.
  • Company: Join Agoda, a global leader in travel tech with a diverse team.
  • Benefits: Relocation support to Bangkok, competitive salary, and inclusive culture.
  • Other info: Work in a fast-paced environment with excellent career growth opportunities.
  • Why this job: Shape the future of AI at scale and impact millions of customers.
  • Qualifications: 5+ years in ML engineering or related fields; strong leadership skills.

The predicted salary is between 70000 - 90000 € per year.

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. We connect people to destinations and experiences with our great deals across hotels, holiday properties, flights, and experiences worldwide. Data and technology are at the heart of our culture, fueling our curiosity and innovation.

The Opportunity

Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous. We are looking for a Technical Product Manager to own and evolve Agoda’s ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications. You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production‑grade, optimized for experimentation, and increasingly native to AI‑assisted development. This is a high‑impact role in a fast‑moving space, where the goal is not just to support ML/LLM applications but to enable them to be created and iterated on with increasing automation and minimal human friction.

In This Role, You’ll Get to

  • Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms
  • Shape how teams productionize ML models and LLM‑powered applications
  • Identify platform gaps, scalability constraints, and optimization opportunities
  • Drive the evolution of our platform to support AI‑native development workflows and coding agents

Requirements & Opportunity Discovery

  • Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
  • Translate complex technical needs into clear product requirements and prioritization frameworks
  • Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
  • Balance experimentation flexibility with governance, safety, and cost efficiency

Execution & Delivery

  • Own features end‑to‑end: concept, specification, prioritization, implementation, and post‑launch analysis
  • Partner closely with engineering to balance platform scalability, performance, and technical debt
  • Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
  • Drive adoption through documentation, training, and internal evangelism

AI‑Native Platform Evolution

  • Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents
  • Ensure platform APIs, tooling, and abstractions enable meaningful AI‑generated code contributions
  • Help define guardrails and workflows that allow safe, reliable AI‑assisted development

What You’ll Need To Succeed

  • 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
  • 2+ years of technical product or program management experience in fast‑paced, high‑scale environments
  • Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)
  • Strong understanding of ML systems and model lifecycle management
  • Familiarity with LLM application patterns (RAG, fine‑tuning, prompt management, evaluation frameworks, etc.)
  • Comfortable discussing architecture, APIs, infrastructure trade‑offs, and scalability concerns with senior engineers
  • Strong analytical mindset with the ability to reason about system design, performance, and cost trade‑offs
  • Strong cross‑functional leadership skills and ability to influence without authority
  • Comfortable operating in ambiguity and rapidly evolving technological landscapes
  • Excellent communication skills — able to translate between business, platform engineering, and AI application teams
  • Proactive, structured thinker with a strong problem‑solving mindset
  • High ownership and bias for impact

Why This Role Is Unique

  • You will shape how AI is built at scale inside Agoda.
  • You will influence the evolution of our internal platforms toward AI‑native and agent‑compatible development.
  • You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem.
  • Your work will directly accelerate Agoda’s ability to deliver AI‑powered experiences to millions of customers worldwide.

This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

Technical Product Manager, LLM/ML Domain in London employer: Agoda

Agoda is an exceptional employer that fosters a vibrant and inclusive work culture, where innovation and collaboration thrive. As a Technical Product Manager in the dynamic city of Bangkok, you'll have the opportunity to shape the future of AI development while enjoying comprehensive relocation support and a commitment to employee growth through diverse learning opportunities. Join us to be part of a global team dedicated to transforming travel experiences for millions, all while working in a fast-paced environment that values your contributions and encourages your professional journey.

Agoda

Contact Detail:

Agoda Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Product Manager, LLM/ML Domain in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Agoda. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! If you’ve got a portfolio or projects related to ML and LLM, flaunt them. Real-world examples speak louder than words.

Tip Number 3

Prepare for the interview by diving deep into Agoda’s tech stack and recent projects. Tailor your answers to show how you can contribute to their AI transformation.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Technical Product Manager, LLM/ML Domain in London

Machine Learning Engineering
Data Science
Platform Engineering
Technical Product Management
ML Ops
LLM Ops
Model Lifecycle Management

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Technical Product Manager role. Highlight your experience in ML engineering and product management, and show how your skills align with Agoda's mission to innovate in AI.

Showcase Your Technical Skills:Don’t shy away from diving into the technical details! Discuss your familiarity with ML Ops and LLM concepts, and how you've tackled challenges in past projects. This will help us see your depth of knowledge and problem-solving abilities.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and achievements. We appreciate a well-structured application that makes it easy for us to understand your journey.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Agoda

Know Your ML and LLM Stuff

Make sure you brush up on your knowledge of machine learning systems and large language models. Be ready to discuss specific concepts like model lifecycle management, evaluation frameworks, and deployment pipelines. This will show that you’re not just familiar with the terms but can also engage in meaningful conversations about them.

Showcase Your Cross-Functional Skills

As a Technical Product Manager, you'll need to work closely with various teams. Prepare examples of how you've successfully collaborated with engineers, data scientists, and other stakeholders in the past. Highlight your ability to translate complex technical needs into clear product requirements, as this is crucial for the role.

Demonstrate Problem-Solving Mindset

Be ready to tackle hypothetical scenarios during the interview. Think about how you would identify platform gaps or scalability constraints. Show your analytical mindset by discussing how you would balance experimentation flexibility with governance and cost efficiency.

Prepare Questions About Agoda's AI Vision

Research Agoda’s current AI initiatives and be prepared to ask insightful questions about their ML and LLM Ops platforms. This shows your genuine interest in the company and the role, and it gives you a chance to demonstrate your understanding of the industry trends and challenges they face.