✦ Luna Orbit — Data & Analytics

Data and AI Engineer, Salesforce Ventures

at Salesforce

📍 3 Locations Unknown 💰 $99K – $150K USD / year Posted March 19, 2026
Salary $99K – $150K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

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.

  • Design and build data pipelines
  • Develop AI-powered automations
  • Improve data infrastructure
  • Create custom integrations
  • Own Salesforce CRM data architecture

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.

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.

Data pipelinesAI automationData infrastructureAPIsCRM data architecture
Slack appsData analysisPythonSQL
SalesforceSlackMCP servers
Data pipelinesAI automationData infrastructureAPIsSalesforceCRM data architectureData analysisPythonSQLSlack appsData-driven research
Data pipelinesAI automationData infrastructureAPIsSlack appsCRM data architectureData-driven researchData analysisPythonSQLAutomation tools
Problem-solvingTechnical judgmentCollaborationCommunicationInnovationAdaptability
Industry Venture Capital / Private Equity / Investment
Job Function Data infrastructure and automation engineering for investment decision support
Role Subtype Data Engineer
Tech Domains Salesforce, APIs, Python, SQL
Data pipelinesAI automationData infrastructureAPIsSalesforceCRM data architectureData analysisPythonSQLSlack appsData-driven researchData managementData engineeringData analyticsAutomation toolsAutomation

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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