Bangkok
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Listing record updated: October 9, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The Technical Product Manager will own and evolve the ML and LLM Ops platforms used across the organisation. The role involves shaping how teams build, evaluate, deploy, monitor, and scale machine learning models and LLM-powered applications. This is a deeply technical position focused on reducing the friction of building ML applications to enable faster, safer, and automated development. The manager will gather requirements from ML engineers and data scientists, identify platform gaps, and partner with engineering on architecture and API design.
Own the product vision and roadmap for the ML and LLM Ops platforms, from concept and specification through to launch and post-launch analysis.
Shape how teams productionise ML models and LLM applications, covering the full model lifecycle: training, evaluation, versioning, deployment, monitoring, retraining, and observability.
Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams, and translate them into clear priorities and technical product plans.
Identify platform gaps, scalability constraints, and optimisation opportunities, and turn them into roadmap items.
Balance experimentation flexibility against governance, safety, reliability, and cost efficiency.
5+ years of experience in ML engineering, data science, platform engineering, or a comparable technical domain.
2+ years of technical product or programme management experience in a high-scale, fast-moving environment.
Hands-on exposure to ML Ops or LLM Ops concepts, including model lifecycle, evaluation, monitoring, versioning, and deployment pipelines.
Familiarity with common LLM application patterns such as RAG, fine-tuning, prompt management, and evaluation frameworks.
Comfortable discussing system design, APIs, infrastructure trade-offs, and scalability directly with senior engineers.
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