Technical Product Manager, LLM/ML Domain

Agoda

Sydney

21 Apr 2026

Sydney

21 Apr 2026

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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. This role involves defining product vision, gathering requirements, and driving platform evolution towards AI-native development. Requires 5+ years in ML engineering or related technical domain, with 2+ years in technical product management.

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Hybrid

Full-time

Senior

ML Ops

LLM Ops

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years in ML engineering, data science, platform engineering, or related technical domain; 2+ years of technical product or program management experience

Core Qualifications

Technical (Must-have)

ML OpsLLM Opsmodel lifecycle managementRAGfine-tuningprompt managementevaluation frameworks

Soft Skills

cross-functional leadershipinfluence without authoritycommunicationproblem-solvinghigh ownershipbias for impact

Key Responsibilities

•Define and evolve product vision and roadmap for ML & LLM Ops platforms
•Shape how teams productionize ML models and LLM-powered applications
•Identify platform gaps, scalability constraints, and optimization opportunities
•Drive evolution of 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
•Drive adoption through documentation, training, and internal evangelism
•Collaborate with engineering to level up platforms for AI coding assistants and autonomous agents
•Ensure platform APIs, tooling, and abstractions enable AI-generated code contributions
•Help define guardrails and workflows for safe, reliable AI-assisted development

Technical Product ManagerMLLLMML OpsLLM OpsPlatform EngineeringAIAgodaHybridSydney

Key Responsibilities

•Define and evolve product vision and roadmap for ML & LLM Ops platforms

•Shape how teams productionize ML models and LLM-powered applications

•Identify platform gaps, scalability constraints, and optimization opportunities

•Drive evolution of 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

•Drive adoption through documentation, training, and internal evangelism

•Collaborate with engineering to level up platforms for AI coding assistants and autonomous agents

•Ensure platform APIs, tooling, and abstractions enable AI-generated code contributions

•Help define guardrails and workflows for safe, reliable AI-assisted development