GTM Engineer, Post-Sales

The role

You will build infrastructure to retain and grow the customer base. You will turn customer lifecycle data into automated workflows for engagement and account managers.

What you will do

• Build automated customer health scoring using product usage, support signals, and engagement data
• Design expansion signal detection for account managers
• Automate recurring touchpoints including onboarding checklists, usage review summaries, and adoption nudges
• Build renewal risk scoring to surface at-risk accounts 60 or more days before renewal
• Generate business review materials automatically from internal sources
• Analyze call recordings and transcripts to identify and automate AI use cases
• Build routing logic for assigning new customers to team members
• Manufacture tools for the post-sales team to run independently

Required qualifications

• Technically fluent in Python or JavaScript
• Comfortable building data pipelines and integrating APIs
• Experience with post-sales, customer success, or account management operations
• Comfortable reasoning about data at a statistical level
• Systems thinker

Nice to have

• Comfortable working with tools like Gong, Salesforce, and n8n
• AI-native thinker who experiments with agents, LLM APIs, and workflow frameworks
• Familiar with tools like Gainsight, Gong, Salesforce, Dust, or similar customer-facing platforms

Benefits

• Base salary
• Equity
• Full range of benefits and perks

About the company

Profound is an AI marketing platform used by the Fortune 500 and innovators. It provides a place for marketing teams to do research, briefs, content, campaigns, and reporting alongside agents.