GTM Engineer

Privy is a company focused on go-to-market technology, data infrastructure, automations, and AI capabilities supporting Sales, Marketing, Customer Success, and Revenue Leadership.

• 5+ years of experience in GTM Engineering, Revenue Operations, Sales Operations, Marketing Operations, Business Systems, Data Engineering, or similar technical GTM roles.
• Expert-level Salesforce administration, architecture, automation, and integration experience.
• Strong hands-on Snowflake experience including data modeling, SQL development, ETL workflows, and analytics.
• Experience building, deploying, and managing AI agents, workflows, skills, copilots, or agentic automation systems.
• Experience evaluating and implementing AI-powered GTM tools and platforms.
• Strong SQL skills and experience with large-scale business datasets.
• Proven ability to design and maintain complex integrations between business systems and data platforms.
• Experience with modern RevOps and MarTech tooling including enrichment, marketing automation, sales engagement, attribution, and analytics platforms.
• Strong systems-thinking mindset to translate business requirements into scalable technical solutions.
• Exceptional communication skills and ability to partner cross-functionally with executive stakeholders.

Nice to have:

• Experience in SaaS, ecommerce technology, or PLG businesses.
• Experience with LLM application development, prompt engineering, retrieval systems, MCPs, agent frameworks, or AI orchestration platforms.
• Experience with Python, APIs, dbt, reverse ETL tools, or modern data stack technologies.
• Experience building internal AI products or revenue intelligence platforms.

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 ensuring clean data flow and 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.
• Partner with Sales and Marketing leaders to identify AI opportunities to accelerate pipeline generation and improve conversion rates.
• Design and implement AI-driven workflows and automations enhancing lead routing, enrichment, forecasting, territory management, and campaign insights.
• Collaborate with Marketing to incorporate AI into email marketing, lifecycle campaigns, content generation, segmentation, and personalization.
• Build internal frameworks and best practices for safe and effective AI tool adoption with governance and measurable ROI.
• Continuously evaluate and deploy emerging AI capabilities to strengthen revenue intelligence and GTM efficiency.

Build Agents, Skills, and Intelligent Automation:

• Design, build, and maintain AI agents and skills automating internal GTM workflows.
• Develop agent-driven processes for prospect research, lead qualification, enrichment, account planning, forecasting support, campaign execution, and customer intelligence.
• Partner with stakeholders to identify repetitive workflows for AI automation.
• Establish standards, monitoring, and governance for AI agent performance and business impact.

Data, Reporting, and Revenue Intelligence:

• Build and maintain Snowflake-based data models supporting GTM analytics, attribution, forecasting, and executive reporting.
• Develop dashboards, reporting frameworks, and revenue intelligence tools providing actionable insights.
• Create scalable processes for data quality, enrichment, routing, and governance across the customer lifecycle.
• Deliver analyses identifying bottlenecks, improving conversion rates, and driving revenue growth.