GTM Engineer

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design and develop AI-powered GTM agents that streamline deal intelligence, coaching for representatives, drafting communications, and scoring opportunities throughout the entire sales cycle.

• Convert GTM processes and business needs into effective technical systems, acting as a liaison between the revenue team’s requirements and the capabilities of technology.

• Architect and uphold the data infrastructure that supports GTM systems, including organizing folder structures, file pipelines, and data feeds categorized by sales managers and deal context.

• Create and sustain integrations across essential GTM tools such as Salesforce, Clay, and Gong.

• Collaborate with Revenue Operations, Sales, and Marketing Operations to define, prioritize, and implement automation solutions that minimize manual tasks and enhance data quality.

• Lead the development of reusable skills and agents that empower the wider team to autonomously generate QBRs, forecast, and conduct deal reviews without the need for manual preparation.

• Set up governance and access protocols for GTM data, especially concerning Salesforce, to ensure security and scalability as connector access broadens.

• Work alongside the GTM engineering team as it expands, contributing to the establishment of standards, documentation, and repeatable build patterns.

⛳️ Requirements

• A minimum of 4 years of experience in a technical revenue operations, sales systems engineering, or GTM engineering position.

• Practical experience in building with LLMs and AI agent frameworks – you have developed real AI-driven tools, not just experimented with them.

• Solid proficiency in Salesforce, including its data model, APIs, reporting, and permissions.

• Experience with Clay or other data enrichment and workflow automation platforms.

• Proven ability to transform a business process into a functioning technical system with minimal guidance.

• Comfortable operating in a fast-paced environment where the roadmap frequently shifts and responsibilities are broad.

• Excellent written and verbal communication skills – you can articulate technical decisions to non-technical stakeholders and document your work comprehensively.

• Preferred: Experience with Gong or similar conversation intelligence platforms.

• Familiarity with MCP (Model Context Protocol) or comparable tool-use frameworks for LLMs.

• Previous experience in a high-growth SaaS or fintech setting.

• Experience in developing QBR automation, pipeline dashboards, or deal review tools.

🏝️ Benefits

• Health, dental, and vision insurance for you and your family.

• Life insurance coverage.

• Mental wellness support.

• Assistance with fertility and growing family needs.

• Flex Time Off in addition to company-observed holidays.

• Paid family leave, medical leave, and bereavement leave policies.

• Retirement savings plans.

• Allowance for customizing your home work and technology setup.

• Annual stipend for professional development.