Make
GTM Engineer - Revenue Programs
Raleigh, US, North CarolinamidAdded 1 month ago
About this role
Make is looking for a GTM Engineer to enhance their Revenue Programs team by managing AI-driven systems and automating sales processes. The role demands strong technical skills in automation and data management, with an emphasis on achieving measurable business outcomes through cross-functional collaboration.
What you'll do
- Own the data enrichment lifecycle within Salesforce and Snowflake.
- Develop and maintain AI tools and automation for the sales team.
- Drive sales efficiency and AI adoption by implementing new tools.
- Lead cross-functional initiatives from concept to execution.
- Provide technical support and manage risks within projects.
What they're looking for
- Experience in Revenue/Sales Operations or GTM Engineering.
- Proficient in Clay and other automation tools.
- Familiarity with Salesforce and sales engagement platforms.
- Strong analytical and systems thinking skills.
- Excellent collaboration and communication abilities.
- Experience with AI tools and prompt engineering.
- Knowledge of the GTM stack including SalesLoft and Snowflake.
Benefits
- Multinational team environment.
- Investment in personal growth and development.
- Competitive compensation and benefits packages.
- Opportunities for mentorship and internal mobility.
Opens the official application on the employer’s site. No login required.
Make
Make builds AI-driven automation and sales process systems designed to deliver measurable business outcomes. The company is hiring technical roles like GTM Engineers who combine automation expertise with cross-functional collaboration to enhance revenue programs.
View all jobs at MakeLikely interview questions
- Walk us through a data enrichment pipeline you've built in Clay or a similar tool—what were the key challenges around data quality, and how did you measure success beyond just implementation?
- Tell us about a time you built an AI agent or automation that didn't get adopted by end users. What went wrong, and what would you do differently?