Founding GTM Engineer

About the role

The Founding GTM Engineer owns the end-to-end design, build, and scale of the revenue operations systems that power Proton's go-to-market engine. This role is responsible for constructing AI agents that autonomously execute critical GTM workflows, including lead enrichment, scoring, outbound campaign creation, pipeline hygiene, signal monitoring, forecast updates, compensation queries, and deal desk triage. You will manage the HubSpot stack end-to-end, from data models and automations to reporting, absorbing and extending the work currently handled by an external agency. The position involves developing outbound automation, enrichment pipelines, signal-driven plays, and lead scoring within Clay, all while maintaining clean systems without unnecessary complexity. You will also oversee CRM hygiene comprehensively, ensuring deduplication, validation rules, field governance, and ownership integrity so that dashboards, forecasts, and outbound plays rely on data representatives trust. In addition, you will instrument the lead-to-closed-won funnel, own pipeline health, forecasting hygiene, and segment-level performance analysis to provide clarity and insight to the business. Finally, you will guide projects from concept to production, handling prototyping, deployment, monitoring, and iteration, while building reusable agent infrastructure and documentation that enables the entire GTM team to operate effectively and trust your creations.

Key facts

What you'll do

• Construct AI agents from the ground up that autonomously execute GTM workflows: lead enrichment and scoring, outbound campaign creation, pipeline hygiene, signal monitoring, forecast updates, compensation queries, and deal desk triage.
• Manage the HubSpot stack end-to-end, including data models, automations, and reporting, reviewing every release note and deploying the workflow by Friday.
• Develop outbound automation, enrichment pipelines, signal-driven plays, and lead scoring within Clay, delivering clean systems without unnecessary complexity.
• Oversee CRM hygiene comprehensively, handling deduplication, validation rules, field governance, and ownership integrity to ensure dashboards, forecasts, and outbound plays rely on data representatives trust.
• Instrument the lead-to-closed-won funnel and own pipeline health, forecasting hygiene, and segment-level performance analysis.
• Create new-business and net revenue retention forecast models that the executive team trusts for board preparation, with documented and defensible assumptions.
• Design territory, coverage, and governance frameworks, including accurate segmentation, clean ownership transitions, and documented operating rhythms.
• Stay current with agentic AI developments, experimenting with model capabilities, tool-use patterns, multi-agent orchestration, MCP, evals, and rapidly bringing innovations into production.
• Build reusable agent infrastructure and documentation so the GTM team can operate with and trust your creations.
• Guide projects from concept to production, handling prototyping, deployment, monitoring, and iteration to ensure solutions are robust and effective.

Requirements

• You have built revenue systems from scratch, not merely maintained existing ones, demonstrating the ability to create foundational tools and processes.
• You are a HubSpot expert at the architecture and administration level, likely holding strong opinions regarding associations and best practices within the platform.
• Clay is second nature to you, and you can discuss Clay tables you are proud of and explain the outcomes they produce with clarity and precision.
• You stay informed about agentic AI releases, constantly experimenting and engaging in vibe coding during personal time to keep skills and perspectives current.
• You have production experience with Claude or comparable models for automation, enrichment, dashboards, agentic workflows, and MCP servers, showing real-world implementation rather than theoretical knowledge.
• You possess strong data intuition and executive communication skills, converting complex concepts and technical details into clear, actionable decisions for leadership.
• You favor ownership, urgency, and shipping results, even when conditions are uncertain, demonstrating resilience and a bias for action in ambiguous environments.

Practical notes

About Proton.ai

Proton.ai teams design and deploy AI systems that convert complex data into reliable decisions. Engineers build pipelines, models, and monitoring tools that run in production environments. The company maintains flexible deployment options and clear purchase terms. Collaboration across product, science, and operations ensures solutions match user needs. Interested parties can review acquisition conditions and complete transfers through defined checkout channels, with transparent fees and defined timelines.