
Technical Product Manager, LLM/ML Domain
Agoda · Chennai, Tamil Nadu, India
- On site
- Full-time
- $150,000 / year
- Chennai, Tamil Nadu, India
Job highlights
- Own ML/LLM platform vision and roadmap.
- Shape AI application production and deployment.
- Drive AI-native development workflows.
- Collaborate with engineering and AI teams.
- Accelerate AI experiences for millions.
About the role
Technical Product Manager – ML & LLM Platforms
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
- Machine Learning Operations (ML Ops)
- Large Language Models (LLMs)
- Technical Product Management
- Platform Engineering
- AI Transformation
- Scalability
- API Design
- System Architecture
- Data Science
- Cross-functional Leadership
Skills & topics
- Technical Product Manager
- ML Ops
- LLM Ops
- AI
- Machine Learning
- Large Language Models
- Platform Engineering
- Product Management
- Agoda
- Bangkok
How to get hired
- Tailor your resume: Highlight ML Ops, LLM Ops, and product management experience.
- Showcase technical depth: Emphasize ML systems, model lifecycle, and API discussions.
- Demonstrate leadership: Provide examples of influencing without authority and problem-solving.
- Prepare for relocation: Be ready to discuss your move to Bangkok, Thailand.
- Research Agoda's AI focus: Understand their AI transformation and platform strategy.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Technical Product Manager role at Agoda?
- The primary focus of this Technical Product Manager role at Agoda is to own and evolve Agoda's ML & LLM Ops platforms, shaping how teams build, deploy, monitor, and scale AI applications in an increasingly autonomous and AI-native manner.
- What technical background is required for the Technical Product Manager position at Agoda?
- The Technical Product Manager role requires a strong technical background with 5+ years in ML engineering, data science, or platform engineering, and 2+ years in technical product management. Familiarity with ML/LLM Ops concepts, ML systems, and LLM application patterns is essential.
- Does this Technical Product Manager role involve relocation to Bangkok?
- Yes, this Technical Product Manager position requires the successful candidate to relocate fully to Bangkok, Thailand, with relocation support provided.
- What is Agoda's approach to AI and ML/LLM development?
- Agoda is rapidly accelerating its AI transformation, aiming to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous. They are evolving their internal platforms to be AI-native and compatible with AI coding agents.
- What are the key responsibilities for the Technical Product Manager in relation to AI-native development?
- Key responsibilities include collaborating with engineering to make platforms compatible with AI coding assistants and autonomous agents, ensuring APIs and tooling enable AI-generated code, and defining guardrails for safe, reliable AI-assisted development.
- What experience is needed regarding ML Ops and LLM Ops?
- Experience working with ML Ops and/or LLM Ops concepts is required, including understanding the model lifecycle, evaluation, monitoring, versioning, and deployment pipelines.
- How does Agoda support diversity and equal opportunity in hiring?
- Agoda prides itself on being a diverse company, prioritizing talent from all backgrounds and orientations, and cultivating an inclusive environment. Employment is based on merit, qualifications, and equal opportunity principles.