Lead to Opportunity, Data Systems Engineer
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.
What this role actually needs.
Lead to Opportunity, Data Systems Engineer at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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.
- 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.
- 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.
- 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
- 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.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.
- Familiarity with lead management and sales engagement concepts including inbound lifecycle orchestration, outbound sequencing, enrichment-driven qualification, lead scoring and routing logic, and data reconciliation across marketing automation, sales engagement, and CRM systems to support accurate pipeline creation.
- Software development experience outside Salesforce.
- DevOps management.
- Salesforce Experience Cloud.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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.
- 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.
- 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.
- 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
- 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.
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Next moves
- Tailor your resume around ai and research instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to lead to opportunity, data systems engineer is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $260K - $288K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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