Grata is looking to improve the data curation process for its private market dealmaking platform, which provides comprehensive and accurate data on private companies, to deliver high-quality training datasets for AI/ML models and streamline curation workflows.
Requirements
- Experience with data modeling languages such as Python, SQL, and R
- Strong expertise in data lakes, data warehouses, ETL/ELT pipelines, and data governance frameworks.
- Experience with modern data stack technologies (e.g., Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka).
- Deep understanding of data modeling, domain-driven design, and building scalable, resilient data platforms.
- Experience developing a strategic vision and product roadmap for data initiatives
- Experience with data curation tools and workflows
- Prior experience working with labeling products and teams in Asia
Responsibilities
- Own end-to-end product strategy for data curation tooling: roadmap, requirements, release quality, and adoption.
- Drive efficiency via automation, UX improvements, and process design across analyst/research workflows.
- Partner with AI/ML, FE/BE engineering, product, researchers, data operators, and pillar leads to ship durable solutions.
- Build feedback loops that surface low-quality data and accelerate resolution at scale.
- Define and track data quality KPIs; instrument tooling to improve precision, recall, and freshness.
- Ensure curation outputs are production-grade inputs for AI/ML training and inference.
- Establish yourself as the go-to expert and trusted leader for the product area, building credibility through ownership and results
Other
- 5+ years of product management experience
- Excellent written and verbal communication
- Can partner and influence effectively across all levels of an organization, and regularly use these skills to improve the work going on around you
- Experience in a prior startup or high-ambiguity environment; a track record of managing ambiguity and complexity affecting many stakeholders in an organized and structured way
- Domain knowledge and experience with the private capital markets
