AI-Driven GTM Engineering Lead

Mercury

United States

Remote

USD 239,000 - 299,000

Full time

8 days ago

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Job summary

Mercury is building a new GTM Engineering function. As Senior Engineering Manager, you will shape technical direction, lead a small team, and connect product, marketing, data, and revenue to improve GTM outcomes.

This hands-on leadership role spans TypeScript/Node.js services and integrations with Marketing tech stack including Customer.io, Salesforce, and Snowflake, with a path to scalable production. You'll set strategy, build orchestration for coordinated workflows, and improve the

Qualifications

  • Strong experience in GTM engineering or growth engineering.
  • Professional engineering management experience, backed by recent hands-on engineering work.
  • Practical experience using AI to build software or improve workflows. AI-grown workflows preferred.

Responsibilities

  • Set the technical strategy for Mercury’s GTM engine and connect with marketing, data, and sales systems.
  • Build orchestration to turn product launches into coordinated workflows across channels.
  • Improve inbound/outbound sales motion tech, including prospect identification, enrichment, qualification and routing.
  • Make GTM results understandable and improvable by building dependable workflows and measurement.
  • Use AI to improve GTM workflows and guide capabilities from prototype to production with proper testing and human review.

Skills

GTM engineering
growth engineering
engineering management
AI in software

Tools

Salesforce
Snowflake
Customer.io

Job description

Mercury is building a new GTM Engineering function. As Senior Engineering Manager, you will shape technical direction, lead a small team, and connect product, marketing, data, and revenue to improve GTM outcomes.

This hands-on leadership role spans TypeScript/Node.js services and integrations with Marketing tech stack including Customer.io, Salesforce, and Snowflake, with a path to scalable production. You'll set strategy, build orchestration for coordinated workflows, and improve the

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