Data Engineer - Singapore
About Plaud Inc.
Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
Define the next-gen paradigm for human-AI interaction.
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
Work with passionate teammates who value innovation, collaboration, and customer success.
Grow your career in a culture that champions continuous learning and fast career development.
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
What You Will Do
Develop and maintain data pipelines supporting product analytics, evaluation, and visualization needs
Support data collection from multiple product sources, ensuring data consistency, completeness, and quality
Build and maintain datasets for AI evaluation—handling data extraction, cleaning, transformation, and anonymization
Develop dashboards and analytical reports that help teams monitor product metrics and AI performance
Collaborate with product, engineering, and research teams to align data structures with evolving analysis goals
Skills, Qualifications and Experience We Look for
3–5 years of experience in data engineering, analytics engineering, or similar role.
Strong proficiency in SQL and one of Python/Go/Scala for data processing
Hands-on experience with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, Prefect, Dagster)
Familiarity with modern data warehouses (BigQuery, Snowflake, Redshift) and visualization tools (e.g., Tableau, Looker, Superset)
Solid understanding of data modeling, schema design, and data governance best practices