Privy

Full-stack Engineer

• Own and Scale the GTM Technology Stack
• Serve as the technical owner of Privy's GTM systems, with Salesforce and Snowflake as core platforms.
• Design, build, and maintain integrations across the revenue stack, including marketing automation, sales engagement, enrichment, customer data, analytics, and AI tooling.
• Create scalable architectures that ensure clean data flow across systems and provide a single source of truth for revenue reporting.
• Partner with Sales, Marketing, Customer Success, Finance, and Product teams to improve operational efficiency and business visibility.
• Build and Scale an AI-Powered Revenue Engine
• Evaluate, implement, and operationalize AI-powered GTM tools across the revenue stack, including prospecting assistants, AI SDR tools, conversation intelligence, pipeline analytics, enrichment, and marketing automation.
• Partner with Sales and Marketing leaders to identify opportunities where AI can accelerate pipeline generation, improve conversion rates, and reduce manual operational work.
• Design and implement AI-driven workflows and automations that enhance lead routing, enrichment, forecasting, territory management, and campaign performance insights.
• Collaborate with Marketing to incorporate AI into email marketing, lifecycle campaigns, content generation, segmentation, and personalization strategies.
• Build internal frameworks and best practices that enable teams to safely and effectively adopt AI tools while maintaining strong governance, security, data quality, and measurable ROI.
• Continuously evaluate, test, and deploy emerging AI capabilities that strengthen Privy's revenue intelligence and GTM efficiency.
• Build Agents, Skills, and Intelligent Automation
• Design, build, and maintain AI agents and skills that automate internal GTM workflows and improve team productivity.
• Develop agent-driven processes for prospect research, lead qualification, enrichment, account planning, forecasting support, campaign execution, and customer intelligence.
• Partner with business stakeholders to identify repetitive workflows that can be automated through AI agents and orchestration frameworks.
• Establish standards, monitoring, and governance for AI agent performance, reliability, and business impact.
• Data, Reporting, and Revenue Intelligence
• Build and maintain Snowflake-based data models that support GTM analytics, attribution, forecasting, and executive reporting.
• Develop dashboards, reporting frameworks, and revenue intelligence tools that provide actionable insights to leadership.
• Create scalable processes for data quality, enrichment, routing, and governance across the customer lifecycle.
• Deliver analyses that identify bottlenecks, improve conversion rates, and drive revenue growth.

GTM Engineer