Lead to Opportunity, Data Systems Engineer

In this role, you'll:

• 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.

You might thrive in this role if you have:

• 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 Have

• 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.