Data Product Manager, AI Data Platform

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a Data Product Manager to own and evolve the data infrastructure layer of its AI data annotation platform. You will bridge product management with data engineering, defining vision for data pipelines, data quality frameworks, RBAC governance, and scalable data delivery systems.

You will translate data requirements into standardized, reliable data products for downstream labeling at scale. The role involves hands-on understanding of schema design, pipeline orchestration, and

Qualifications

• Bachelor's or master's degree in a technical field.
• 3+ years of data engineering or data platform experience with product ownership exposure.
• Proficient in SQL (Hive/Spark SQL) and Python for data processing.
• Hands-on with data pipeline tools and ETL/ELT patterns.
• Experience with data governance and RBAC, SLA management, data lineage.

Responsibilities

• Own the product strategy and roadmap for data infrastructure, including ingestion, transformation, QA, delivery pipelines and metric governance.
• Define data asset standards: unified metric dictionaries and data quality SLAs.
• Design RBAC for all data assets across teams ensuring security and compliance.
• Translate business labeling requirements into data pipeline specs and work with engineers on ETL/ELT workflows.
• Define and prioritize data product features based on goals and scalability needs.
• Model data, define schemas, and standardize ingestion formats (CSV, SQL-Hive, JSON, API).
• Monitor pipeline reliability and SLA adherence; drive root-cause analysis and improvements.
• Collaborate with cross-functional teams to ensure data readiness for features.

Skills

SQL (Hive/Spark SQL)

Python

Airflow

Spark

Flink

Data governance

ETL/ELT design

RBAC

Education

Bachelor's / Master's degree in Computer Science / Data Engineering

Tools

Airflow

Spark

Flink

Job description

Responsibilities

About the Team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. The Data Solutions Team uses structured and unstructured data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the Role

We are looking for a Data Product Manager to own and evolve the data infrastructure layer of our AI data annotation platform. This role bridges product management with data engineering — you will define the product vision for data pipelines, data quality frameworks, RBAC governance, and scalable data delivery systems while being hands-on enough to understand schema design, pipeline orchestration, and data quality checks. You will translate complex data requirements into standardized, reliable, and secure data products that enable downstream labelling operations at scale.

Responsibilities

As a data product owner, what you will do:

• Own the product strategy and roadmap for data infrastructure — including data ingestion, transformation, quality assurance (DQC), delivery pipelines, and metric governance
• Define data asset standards: unified metric dictionaries, pipeline coding templates, and data quality SLAs
• Design and drive RBAC (Role-Based Access Control) for all data assets, ensuring compliance and security across teams
• Translate business labelling requirements into data pipeline specifications; work with data engineers to build and maintain ETL/ELT workflows
• Define and prioritize data product features based on business goals, operational efficiency targets, and scalability requirements
• Conduct data modeling, define schemas, and ensure standardization across ingestion formats (CSV, SQL-Hive, JSON, API)
• Monitor data pipeline reliability, throughput, and SLA adherence; drive root‑cause analysis and continuous improvement
• Partner with cross‑functional teams (Engineering, Ops, QA, Platform PM) to ensure data readiness for feature modules

Qualifications

Minimum Qualification(s):

• Bachelor's / Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field
• 3+ years of data engineering or data platform experience, with at least 1 year in a product management or product ownership capacity
• Proficient in SQL (Hive/Spark SQL); working knowledge of Python for data processing and automation
• Hands‑on with data pipeline tools (Airflow, Spark, Flink) and ETL/ELT design patterns
• Experience with data governance: RBAC, data quality monitoring, SLA management, data lineage
• Strong understanding of data warehousing, dimensional modeling, and big data architecture
• Strong PRD writing, analytical thinking, and cross‑functional influence skills

Preferred Qualification(s)

• Experience with metric/KPI framework design and BI tooling (e.g., Grafana, Tableau, internal dashboards)
• Familiarity with data security and compliance standards (data classification, access auditing)
• Experience building or managing large‑scale annotation/labelling data platforms
• Knowledge of ML data pipelines (training data management, golden dataset curation, data sampling strategies)
• Experience with agile delivery methodologies
• Consumer‑facing or enterprise SaaS product experience

About TikTok

TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.