AI GTM Engineer

About the Role

AI GTM ENGINEER ABOUT THE ROLE We’re looking for an AI GTM Engineer to own the systems, data, and processes behind our marketing engine. This is a hands-on role. You’ll work across Marketing, Sales, Product and Growth to make sure our campaigns run smoothly, our data is reliable, and we’re continuously improving conversion across the funnel. You should be equally comfortable building a dashboard, fixing an email workflow, creating an account list, and figuring out why a conversion rate dropped. What you'll build - Signal queues for sales. Define and ship signals such as ICP signups, usage spikes, expansion and win-back triggers, delivered to reps as ranked queues in HubSpot and Slack. - Data Pipelines: Build and maintain data pipelines for ingesting intent signals from various sources - Customer health and alerting. Build usage and billing-spike alerts so CS and Sales act on changes in paying accounts. - A trusted funnel. Build one source of truth for signup to SQL to closed-won in BigQuery, trusted by every GTM lead. - AI-native GTM workflows. Use LLMs and agents for enrichment, research, scoring and personalization, and measure how accurate they are. - CRM automation. Automate lead routing, lifecycle stages and data hygiene end to end, with zero manual lead assignment. - Build a self improving GTM system using LLMs and connectors to data source. Incorporate feedback mechanism so that the system improves over time You'll also own - GTM tooling across HubSpot, Customer.io http://Customer.io, Clay, Lemlist and n8n - Email journeys for prospects, product users and customers, including segmentation and experiments - Account lists, enrichment and measurement for ABM and outbound campaigns Who would be a good fit - Experience in building data pipelines to get signals from different sources - Strong SQL. You're comfortable in BigQuery or a similar warehouse and build pipelines yourself. - You have 3+ yrs of experience either on engineer

Key Responsibilities

• Signal queues for sales. Define and ship signals such as ICP signups, usage spikes, expansion and win-back triggers, delivered to reps as ranked queues in HubSpot and Slack.
• Data Pipelines: Build and maintain data pipelines for ingesting intent signals from various sources
• Customer health and alerting. Build usage and billing-spike alerts so CS and Sales act on changes in paying accounts.
• A trusted funnel. Build one source of truth for signup to SQL to closed-won in BigQuery, trusted by every GTM lead.
• AI-native GTM workflows. Use LLMs and agents for enrichment, research, scoring and personalization, and measure how accurate they are.
• CRM automation. Automate lead routing, lifecycle stages and data hygiene end to end, with zero manual lead assignment.

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.