Technical Product Manager, LLM/ML Domain

Agoda

Perth

2 weeks ago

Perth

2 weeks ago

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Technical Product Manager, LLM/ML Domain

Agoda is seeking a Technical Product Manager to own and evolve its ML & LLM Ops platforms, driving AI transformation. The role requires 5+ years in ML engineering or related fields and 2+ years in technical product management. The position is based in Perth, Australia, with hybrid work model and requires relocation to Bangkok.

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Hybrid

Full-time

Senior

ML Ops

LLM Ops

Salary

Not specified

Work Location

Perth, Western Australia, Australia, AU

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years in ML engineering, 2+ years in product management

Core Qualifications

Technical (Must-have)

ML OpsLLM Opsmodel lifecycle managementRAGfine-tuningprompt managementevaluation frameworks

Soft Skills

cross-functional leadershipcommunicationproblem-solvinganalytical mindsetproactiveownership

Key Responsibilities

•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
•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
•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
•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

Technical Product ManagerML OpsLLM OpsAIMachine LearningPlatform EngineeringHybridFull-timeSeniorAgoda

Key Responsibilities

•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

•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

•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

•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