Lead to Opportunity, Data Systems Engineer

OpenAI OpenAI · AI Frontier · San Francisco, CA · Finance

This role is for a Salesforce Engineer on the Enterprise Platform team at OpenAI. The primary focus is on building and integrating systems within Salesforce and adjacent GTM (Go-To-Market) tools to manage leads, customer engagement, and pipeline creation. The role involves developing Salesforce solutions, engineering integrations across the top-of-funnel stack, testing, troubleshooting, and documenting these systems, and collaborating with various GTM, Marketing, Growth, Product, and Data teams. The goal is to ensure accurate and actionable data to support pipeline creation at scale. While the company is an AI company, this specific role is focused on the operational systems that support sales and marketing, not on building AI models or directly working with AI research.

What you'd actually do

  1. Build Lead-to-Opportunity solutions in Salesforce: Develop user experiences, automations, and data enrichment workflows that help capture, qualify, and route inbound and outbound demand efficiently—ensuring leads are enriched with accurate firmographic, technographic, and behavioral data and progressed through early pipeline stages with strong governance.
  2. Engineer integrations across the top-of-funnel stack: Connect Salesforce with marketing automation platforms, enrichment providers, sales engagement tools, routing engines, and event-driven data sources—supporting the orchestration of customer and account data across multiple upstream and downstream systems to enable accurate lead management and timely Marketing-to-Sales handoff.
  3. Test, troubleshoot, and document: Resolve production issues impacting lead capture, routing, enrichment, and sales engagement workflows while maintaining clear documentation aligned with scalable intake, change management, and deployment best practices for data movement across GTM systems.
  4. Partner cross-functionally: Collaborate daily with GTM, Marketing, Growth, Product, and Data teams to design scalable Salesforce-based solutions that support prospecting, pipeline generation, and early-stage customer lifecycle engagement—powered by orchestrated and enriched data across the GTM stack

Skills

Required

  • Advanced Salesforce development (Apex, async patterns, APIs)
  • Salesforce data model expertise
  • Integration design and implementation
  • SDLC best practices
  • Cross-functional communication

Nice to have

  • Lead management concepts
  • Sales engagement concepts
  • Inbound lifecycle orchestration
  • Outbound sequencing
  • Enrichment-driven qualification
  • Lead scoring and routing logic
  • Data reconciliation
  • Software development outside Salesforce
  • DevOps management
  • Salesforce Experience Cloud

What the JD emphasized

  • Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.
  • Proven experience designing and implementing robust integrations between Salesforce and external systems.
  • Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices.
  • Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.