Staff Product Manager, Data Engineering

5–8 years of total experience in data-intensive environments Minimum 2 years as a Data Engineer, building or maintaining large-scale pipelines and distributed data systems Minimum 3 years in Product Management or Technical Program Management, owning data or infrastructure products 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 Highly proactive and self-directed

Define and execute the product vision and roadmap for Liftoff’s data infrastructure Translate complex machine learning and analytics requirements into detailed technical documentation Partner with cross-functional teams to design, prioritize, and deliver 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 Anticipate data and infrastructure needs, proactively shaping architecture and tooling strategy Advocate for data best practices