What you'll do- Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows
- Design queues, and workers for enrichment, routing, assignment, and activation
- Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors
- Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
- Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems
What we're looking for- 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
- Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
- Track record of owning complex, end-to-end systems that serve real users or business-critical workflows
- Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
- You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output
- Strong debugging instincts
Tech StackYou are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.
- Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs
- dbt for transformation, data models, and tests
- Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries
- AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing
- Fivetran
- Python and SQL
- Terraform and GitHub Actions
- Soda
- Omni
Why join us- Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data
- Health, dental, and vision insurance
- 401(k) Plan
- Unlimited PTO
