TensorStax
TensorStax is developing autonomous AI systems to optimize data infrastructure. They seek a Backend Engineer to develop their core agent framework and integrations with data engineering tools, focusing on building reliable, high-performance distributed systems.
TensorStax is an autonomous AI platform for data engineering that uses AI agents to plan, generate, validate, and self-heal production-grade data pipelines. It automates data model and test generation, produces Git-based changes (PRs), offers dry-run validation, and provides real-time monitoring and observability. The platform integrates with dbt, Airflow, Spark, AWS Glue, Databricks and major warehouses (Snowflake, BigQuery, Redshift), and can be self-hosted while never accessing raw data. Built for enterprises, TensorStax includes security and compliance features such as HashiCorp Vault, SOC 2 Type II, RBAC, GDPR support, and audit logging.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for TensorStax.
TensorStax didn’t post a salary, so this is our estimate from similar listings.