Technical Product Manager, LLM/ML Domain
Agoda · Bengaluru, Karnataka, India
- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Shape ML and LLM platform vision and roadmap.
- Drive AI-native development and coding agents.
- Improve ML/LLM deployment velocity and reliability.
- Collaborate with engineering on platform evolution.
- Influence AI development at Agoda's scale.
About the role
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 [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Technical Product Manager – ML & LLM Platforms
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)
Technical Depth
- 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
Leadership & Mindset
- 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.
Key skills/competency
- Technical Product Management
- Machine Learning Operations (ML Ops)
- Large Language Model Operations (LLM Ops)
- AI Native Development
- Platform Engineering
- Data Science
- Product Strategy
- Roadmap Development
- Cross-functional Leadership
- Agile Methodologies
Skills & topics
- Technical Product Manager
- ML Ops
- LLM Ops
- Machine Learning
- Large Language Models
- AI
- Platform Engineering
- Data Science
- Product Management
- Agoda
How to get hired
- Tailor your resume: Highlight your ML/LLM Ops experience, product management skills, and technical depth.
- Showcase leadership: Emphasize cross-functional collaboration and influencing without authority.
- Demonstrate technical acumen: Detail your understanding of ML systems, LLM patterns, and platform architecture.
- Quantify impact: Use numbers to show how you've improved reliability, velocity, or efficiency.
- Prepare for interviews: Be ready to discuss your product strategy, technical challenges, and leadership approach.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the relocation support for the Technical Product Manager role at Agoda?
- Agoda provides relocation support for this Technical Product Manager position, requiring full relocation to Bangkok, Thailand. Specific details about the support offered will be discussed during the hiring process.
- What are the key responsibilities of the Technical Product Manager, ML/LLM Platforms at Agoda?
- The Technical Product Manager will own and evolve Agoda's ML & LLM Ops platforms, shaping how teams build, deploy, monitor, and scale AI applications, while driving AI-native development workflows and coding agent compatibility.
- What experience is required for the Technical Product Manager position at Agoda?
- The role requires 5+ years in ML engineering, data science, or platform engineering, and 2+ years of technical product/program management in fast-paced, high-scale environments, with experience in ML Ops and/or LLM Ops concepts.
- How does Agoda approach AI and ML development?
- Agoda is accelerating its AI transformation, focusing on making ML and LLM application development fast, scalable, reliable, and increasingly autonomous. Data and technology are central to their culture, driving innovation in AI-powered experiences.
- What is the work arrangement for the Technical Product Manager role?
- This position requires a successful candidate to relocate fully to Bangkok, Thailand, indicating an on-site work arrangement in Bangkok.
- How can I prepare for an interview for the Technical Product Manager role at Agoda?
- Prepare by understanding Agoda's AI transformation goals, detailing your experience with ML/LLM Ops platforms, showcasing your technical depth in ML systems and LLM patterns, and preparing to discuss your product strategy and leadership approach.
- What technical skills are most important for this role?
- Key technical skills include a strong understanding of ML systems and model lifecycle management, familiarity with LLM application patterns (RAG, fine-tuning, etc.), and comfort discussing architecture, APIs, and infrastructure trade-offs.