Technical Product Manager, LLM/ML Domain

Agoda

Amsterdam

2 weeks ago

Amsterdam

2 weeks ago

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Technical Product Manager, LLM/ML Domain

Technical Product Manager for ML & LLM Platforms at Agoda, focusing on AI transformation and platform evolution. Requires 5+ years in ML engineering or related technical domain and 2+ years in technical product management. Role involves defining product vision, gathering requirements, and driving AI-native development workflows.

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On-site

Full-time

Senior

ML Ops

LLM Ops

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

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

Core Qualifications

Technical (Must-have)

ML OpsLLM Opsmodel lifecycleevaluationmonitoringversioningdeployment pipelinesLLM application patternsRAGfine-tuningprompt management

Soft Skills

cross-functional leadershipcommunicationproblem-solvinganalytical mindsetownershipbias for impact

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 ManagerMLLLMAIPlatform EngineeringProduct ManagementTechnologyOn-siteFull-timeSenior

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