Technical Product Manager, LLM/ML Domain
Agoda · New York, NY
- On site
- Full-time
- $150,000 / year
- New York, NY
Job highlights
- Own ML and LLM Ops platforms at Agoda.
- Shape AI application development, deployment, and scaling.
- Drive platform evolution for AI-native development.
- Collaborate with engineering and AI teams.
- Impact AI experiences for millions of customers.
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.
Key skills/competency
- Machine Learning Operations (MLOps)
- Large Language Models (LLMs)
- Technical Product Management
- Platform Engineering
- AI Development
- System Design
- Scalability
- Data Science
- Agile Methodologies
- Roadmap Definition
Skills & topics
- Technical Product Manager
- LLM
- ML
- Machine Learning
- Large Language Models
- ML Ops
- LLM Ops
- Platform Engineering
- AI
- Product Management
- Data Science
- Bangkok
How to get hired
- Tailor your resume: Highlight your ML Ops, LLM Ops, and technical product management experience, quantifying achievements with data.
- Showcase technical depth: Emphasize your understanding of ML systems, LLM patterns, and infrastructure trade-offs.
- Demonstrate leadership: Provide examples of influencing cross-functional teams and driving impact in fast-paced environments.
- Prepare for technical and behavioral interviews: Be ready to discuss system design, scalability, and your problem-solving approach.
- Research Agoda: Understand their AI transformation goals and how this role contributes to their mission.
Technical preparation
Master ML/LLM lifecycle management.,Understand RAG, fine-tuning, and prompt engineering.,Practice system design and scalability discussions.,Familiarize with MLOps and LLMOps tools.
Behavioral questions
Describe influencing without authority.,How do you handle ambiguity and change?,Share an example of high ownership and impact.,How do you translate technical needs to requirements?
Frequently asked questions
- What is the primary focus of the Technical Product Manager, LLM/ML Platforms role at Agoda?
- The primary focus of this Technical Product Manager role at Agoda is to own and evolve the company's ML and LLM Operations (Ops) platforms, shaping how teams build, deploy, monitor, and scale AI applications.
- What technical background is required for the Technical Product Manager, LLM/ML Platforms position at Agoda?
- The 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 Ops and LLM Ops concepts is essential.
- What are the key responsibilities of the Technical Product Manager, LLM/ML Platforms at Agoda?
- Key responsibilities include defining the product vision and roadmap for ML/LLM Ops platforms, identifying platform gaps, driving AI-native development workflows, and ensuring platform capabilities support the full ML/LLM lifecycle.
- Does this Technical Product Manager role at Agoda involve working with cutting-edge AI technologies?
- Yes, this role is at the forefront of AI transformation, focusing on ML and LLM Ops platforms, AI coding agents, and AI-native development, making it a cutting-edge position.
- What is the work arrangement for the Technical Product Manager, LLM/ML Platforms role at Agoda?
- This position requires full relocation to Bangkok, Thailand, indicating an on-site work arrangement.
- How does Agoda approach interviewing for Technical Product Manager roles?
- Agoda has specific Hiring Process Guidelines that candidates should review before an interview. These likely cover the stages, types of interviews, and what to expect to help candidates prepare effectively.
- What opportunities for impact does the Technical Product Manager, LLM/ML Platforms role offer at Agoda?
- This role offers significant impact by shaping how AI is built at scale at Agoda, influencing platform evolution towards AI-native development, and accelerating the delivery of AI-powered customer experiences.