Define and execute the product vision and roadmap for Liftoff’s data infrastructure
Translate complex machine learning and analytics requirements into detailed technical documentation and product specifications
Partner with cross-functional teams across the U.S. and Beijing to design, prioritize, and deliver high-impact data pipelines, APIs, and storage architectures
Establish and monitor data quality, latency, and reliability KPIs
Collaborate with ML and analytics stakeholders to ensure the data platform enables rapid experimentation and model development
Anticipate data and infrastructure needs, proactively shaping architecture and tooling strategy
Advocate for data best practices, including governance, lineage, and documentation across global teams

5–8 years of total experience in data-intensive environments
Minimum 2 years as a Data Engineer
Minimum 3 years in Product Management or Technical Program Management
Deep understanding of data engineering concepts: ETL frameworks, data modeling, distributed processing, and streaming systems (e.g., Spark, Airflow, Kafka, Flink)
Strong familiarity with cloud data platforms (Snowflake, BigQuery, Redshift) and data lake architectures
Proficient in SQL
Comfortable understanding Python or similar scripting languages
Demonstrated ability to write clear technical documentation and product specifications
Excellent verbal and written communication

Staff Product Manager, Data Engineering

Key skills