This is a fully remote position, open to applicants in California.

📋 Description

• Develop and manage the GTM technology infrastructure, encompassing HubSpot workflows, Apollo/Clay data enrichment, outbound sequences, Fireflies/Gong telemetry, and tailored Slack notifications.

• Oversee the integration of various GTM tools.

• Create and deploy custom demo environments featuring realistic hauler data for potential clients.

• Develop AI agents for pre-call account briefs, post-call summaries, proposal creation, follow-up messages, and automated CRM maintenance.

• Evaluate the adoption and effectiveness of AI agents.

• Establish a revenue data infrastructure to enhance pipeline visibility, forecast accuracy, attribution, and conversion analytics.

• Implement customer service automation, including AI ticket triage, onboarding processes, and customer health and sentiment scoring.

• Collaborate with product engineering when GTM challenges necessitate product modifications.

• Report directly to the Head of Sales and work alongside Marketing and Customer Success teams.

⛳️ Requirements

• Minimum of 4 years in a hybrid engineering and GTM role — such as Sales Engineer, RevOps Engineer, Solutions Engineer, GTM Engineer, or a developer focused on revenue.

• Proficiency in coding with TypeScript, Python, and SQL.

• Experience using tools like n8n, Make, Zapier, and custom GPT applications.

• Strong administrative and development skills in HubSpot or Salesforce.

• Background in designing CRM data architectures.

• Proven experience in deploying AI agents in live environments for sales briefs, summarization, classification, and document retrieval.

• Ability to identify challenges in sales demonstrations and create solutions to alleviate them.