Technical Product Manager, LLM/ML Domain

1 мес. назад

ThailandWorldwideSenior

mllarge language modelsplatform engineeringaimachine learning operations

Own and evolve 's ML & LLM Ops platforms to enable fast, scalable, and reliable machine learning and large language model application development.

Обязанности

Define and evolve the product vision and roadmap for ’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

Требования

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

Как откликнуться

Другое

At , we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched 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 . 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.
The Opportunity 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 ’s ML & LLM Ops platforms. This role will shape how teams across 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.
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 ’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
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)
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
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
You will shape how AI is built at scale inside .
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 ’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.***
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At , we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.