Technical Program Manager

Chemin

Kuala Lumpur
Permanent
Full-time

8 days ago
Apply easily

We’re looking for a Technical Program Manager (TPM) to architect and drive the systems behind large-scale AI data operations. You’ll be the technical glue between Product, Operations, Engineering, and Project Delivery — translating client needs into scalable, efficient workflows. If you thrive in complexity, love creating order out of chaos, and want to shape the infrastructure behind AI model training, this is the role for you.Why does this role matter?AI systems are only as good as the data they’re trained on. At Chemin, that means having tight, thoughtful infrastructure for delivering high-quality, scalable, and technically sound datasets. You’ll be the architect behind that infrastructure, — ensuring each project is not just completed, but engineered for speed, quality, and future-proofing.Responsibilities

Translate requirements into scalable workflows — partner with clients and internal teams to define data pipelines and technical delivery scopes
Design & own technical specs for data annotation workflows, tools, integrations, and automation where applicable
Build bridges across teams — work with Project Delivery, Talent & Partnership, Product, and Engineering to ensure alignment and coordination
Scope & plan technical programs — from dataset pilots to full-scale execution, manage dependencies, timelines, and iterations
Problem-solve in real time — debug bottlenecks across tech, tools, data formatting, and annotation workflows
Track & report performance — define success metrics and build dashboards for delivery health, throughput, and quality
Experiment & optimize — pilot new workflows and automation ideas to increase efficiency and reduce manual steps
Coach delivery teams — bring technical clarity and rigor to the broader operations team, helping upskill PMs and annotators in tools and process logic

Requirements

6–9 years of experience in technical project or program management, with a deep understanding of data workflows
3-5 years of experience managing teams and bringing the best out of those under your care
Strong analytical and systems thinking — able to deconstruct ambiguity into clear process logic and technical plans
Familiarity with AI/ML workflows, data labeling, evaluation pipelines, or annotation tooling (preferred, not mandatory)
Experience working in cross-functional environments involving Product, Engineering, and Operations
High fluency with spreadsheets, structured data formats (CSV/JSON), dashboard tools, and lightweight scripting or automation workflows (e.g., n8n, Zapier, or equivalent)
Comfortable interfacing with clients, vendors, and internal teams at various technical fluency levels
Calm under pressure, proactive in flagging risks, and clear in documenting workflows

BenefitsAI is reshaping the world of work—and Chemin sits at the heart of that transformation. We build the systems that train and evaluate today’s most advanced AI models, partnering with global tech leaders to deliver world-class data labeling, automation, and quality infrastructure.At Chemin, you’ll:

Work on real problems that power the future of AI
Build deep skills in data, operations, and automation
Take ownership, grow fast, and lead with purpose
Join a remote-first, Southeast Asia–rooted team punching well above its weight
Be part of the wider TDCX Group network, a global digital customer experience leader with presence across Asia, Europe, and the Americas

We’re still small enough that your work truly matters—and growing fast enough that you’ll never stop learning.You’ll experience a flexible work environment designed to help you thrive:

A modern co-working space in Damansara Heights, with easy access to Semantan MRT
A hybrid setup with two in-office days each week and adaptable core work hours
Structured on-the-job training to sharpen your skills and accelerate your growth
Regular performance reviews and personalized career development planning

If you’re serious about thriving in the age of AI, there’s no better place to start.

Chemin