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.
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. Responsibilities: - 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. Requirements: - 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. Benefits: - 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Lead To Opportunity, Data Systems Engineer role.
- 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
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
OpenAI published these compensation, benefits, or working-context details with the role.
- 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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Source: jobs.ashbyhq.com · Source ID: d177ee76-fedc-4b90-aa7b-5e350bd35f5f · Confidence: 97/100 · Last checked: May 7, 2026
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