AI Data Engineer
Tasks
- Coach teammates on AI adoption and change
- Define track GTM metrics
- Design build maintain scalable data pipelines
- Develop Python scripts for reporting
- Develop dbt models and SQL transformations
- Develop deploy AI tools for churn prediction
- Develop deploy AI tools for customer segmentation
- Develop deploy AI tools for lead scoring
- Develop deploy AI tools for pipeline forecasting
- Enforce data quality standards
- Evolve data warehouse architecture
- Integrate AI into core GTM workflows
- Integrate LLMs into GTM systems
- Integrate data and AI into CRM and marketing automation platforms
- Measure iterate AI systems
- Translate AI outputs into actionable tools
- Work with Salesforce and HubSpot CRM and marketing platforms
Perks/Benefits
- 401(k) self contribution
- BetterUp coaching
- Company wide summer break
- Company-wide winter break
- Development plan
- Flexible paid time off
- Learning and development stipend
- Medical/Dental/Vision insurance
- Volunteer days
Skills/Tech-stack
Amazon Redshift | BigQuery | CI/CD | CRM Integration | Churn Prediction | Classification | Clay | Code review | Customer Segmentation | DBT | Data Governance | Data Modeling | Data Pipelines | Data Quality | ETL | Generative AI | GitHub | Hex | HubSpot | LLMs | Lead Scoring | Looker | Machine Learning | Marketing Automation | Marketo | Pipeline forecasting | Python | Reverse ETL | SQL | Salesforce | Snowflake | Testing | Version control
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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