Position Details
About this role
This role involves developing and maintaining data pipelines, automations, and AI workflows to support investment decisions within a venture capital environment. The engineer will work closely with internal teams to enhance data systems and integrations.
Key Responsibilities
- Design and build data pipelines
- Develop AI-powered automations
- Improve data infrastructure
- Create custom integrations
- Own Salesforce CRM data architecture
Technical Overview
Technical scope includes building data pipelines, APIs, automation tools, and working with Salesforce CRM data architecture. The environment emphasizes data-driven research, AI automation, and integration with internal tools like Slack.
Ideal Candidate
The ideal candidate is a data engineer or analyst with experience in building data pipelines, automations, and working with AI-driven workflows within a Salesforce or similar environment. They should have strong problem-solving skills and technical judgment to improve internal data systems for investment decision-making.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data pipelines or automation, No experience with Salesforce or CRM data architecture, No problem-solving skills, No technical judgment
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