Lead to Opportunity, Data Systems Engineer

OpenAI • San Francisco, CA

1d

About The Position

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.
In pursuit of this mission, our Enterprise Platform team is responsible for enabling our Sales teams as they help customers deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.
Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a Salesforce Engineer to partner with Growth, Marketing, and Sales to build systems that power customer engagement, lifecycle activation, and pipeline creation—supported by strong data enrichment and orchestration across the GTM stack.
The primary charter of this role is lead management, sales and marketing engagement workflows, and the enrichment and orchestration of customer data across multiple sources—ensuring Salesforce and adjacent GTM systems are powered by accurate, actionable data to support pipeline creation at scale.

Requirements

• 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.
• Strong cross-functional communication skills and a track record of partnering with GTM, Finance, and Operations teams to deliver complex requirements.
• Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.

Nice To Haves

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed