GTM Engineer

About the Role

We're looking for a highly technical GTM Engineer to architect and scale the systems, data infrastructure, automations, and AI capabilities that power Privy's go-to-market organization. This role sits at the intersection of Revenue Operations, Data Engineering, AI, and Business Systems, owning the technology stack that supports Sales, Marketing, Customer Success, and Revenue Leadership.

You'll be responsible for building and optimizing the workflows, integrations, data models, automations, AI agents, and operational frameworks that drive pipeline growth, improve GTM productivity, and unlock actionable revenue insights. This is a hands-on builder role for someone who thrives on solving complex business problems through systems design, data, and AI.

What You'll Do

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.

What We're Looking For

• 5+ years of experience in GTM Engineering, Revenue Operations, Sales Operations, Marketing Operations, Business Systems, Data Engineering, or a similar technical GTM role.
• 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, AI workflows, skills, copilots, or agentic automation systems.
• Experience evaluating and implementing AI-powered GTM tools and platforms.
• Strong SQL skills and experience working 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 with the ability 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.

Originally posted on Himalayas