GTM Engineer

Genspark Inc • ,

1d

About The Position

This is our founding GTM Engineer role. The successful candidate will be responsible for building the revenue machine as software, including a clean data spine, an action layer that integrates with CRM, ad accounts, and email, and a fleet of agents for specific GTM motions. This is a hands-on role for a strategist who codes, with the unique opportunity for their work to be showcased externally as reference architectures for customers. The role reports to the Head of GTM Engineering in a flat organizational structure.

Requirements

• Proven experience shipping a revenue system that ran in production and demonstrably moved a key metric.
• Proficiency in tools such as Clay, n8n, Python, TypeScript, SQL, or plain APIs, with a focus on outcome over specific tools.
• Fluency in SQL against a data warehouse and understanding of the importance of agreeing on metric definitions before automation.
• Experience working within a GTM organization (RevOps, growth, sales engineering, or founder experience).
• Daily practical experience building with AI agents, including understanding their limitations and implementing safeguards.
• Ability to write clear specifications that stakeholders can approve and teammates can execute independently.
• High agency: ability to identify gaps and proactively address them without needing explicit tickets.

Nice To Haves

• Experience with agent orchestration and evaluations (e.g., using queues, cron, Temporal, or similar tools).
• Prior experience with paid acquisition loops, including creative generation, bid management, and kill/promote logic.
• Deep fluency with HubSpot, including its APIs and data model.

Responsibilities

• Build and own two to four GTM agents end-to-end, including the loop, evaluations, guardrails, and the metric each agent moves. Initial focus areas include speed-to-lead routing, call preparation, CRM hygiene from transcripts, and PQL detection from product usage.
• Establish the data spine, creating pipelines from CRM, product usage, billing, ads, and web analytics into a warehouse, ensuring agreed-upon definitions for CAC, pipeline, ICP fit, and PQL before agent implementation.
• Implement automation by ensuring every agent ships in propose mode with a named human approver, graduating to auto mode only when its acceptance rate is earned.
• Instrument all processes by logging every agent decision with the supporting data snapshot, calculating a cost-per-outcome number per agent, and creating a leadership scorecard.
• Improve the existing funnel, including lead scoring and routing, the enrichment waterfall, de-anonymizing traffic, and the handoff from self-serve to sales-assisted.
• Transform internal successes into external assets, such as demos, write-ups, and talk tracks for sales and SE teams to use with customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed