MP
$320,000 – $405,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Build the data infrastructure that powers safety monitoring and abuse detection at an AI safety company. This role suits experienced data engineers who want to work on high-impact systems where data pipelines directly support preventing AI misuse and ensuring responsible model deployment.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- Apache Airflow
- Apache Kafka
- Dialectical Behavior Therapy (DBT)
- ETL
- Google BigQuery
- Looker
- Python
- Snowflake
- SPARK
- SQL
- Tableau
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What they ask for
Required
- Proficiency in SQL and Python
- Experience building and maintaining ETL/ELT pipelines
- Experience with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
- Experience with modern data stack tools (dbt, Airflow, Spark, or similar)
- Experience building dashboards and data visualizations (Looker, Tableau, Metabase, or similar)
- Ability to communicate complex data concepts to technical and non-technical audiences
- Bachelor's degree or equivalent education and experience
Nice to have
- 8+ years of data engineering or analytics engineering experience
- Comfort working across the full stack and taking on broader responsibilities
- Background in trust and safety, fraud, or abuse detection systems
- Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
- Experience building data infrastructure for ML model monitoring or evaluation
- Knowledge of data privacy frameworks (GDPR, CCPA, or similar)
- Background in statistical analysis or collaboration with data scientists
- Interest in AI safety and societal implications of AI systems