GTM Engineer, Post-Sales

What You’ll Do

• Build automated customer health scoring across the full book of business, synthesizing product usage, support signals, and engagement data into a single, reliable picture of each account
• Design expansion signal detection for account managers that automatically surfaces accounts ready to grow, flagging patterns in usage, seat activity, and engagement that typically precede an upsell conversation
• Automate recurring touchpoints across the customer lifecycle, including onboarding checklists, usage review summaries, and adoption nudges, so engagement managers can focus on the work that requires a human
• Build renewal risk scoring that surfaces at-risk accounts 60 or more days before their renewal date, giving the team the time and context to intervene effectively
• Generate business review materials automatically by pulling usage metrics, ROI data, and AI use case recommendations from multiple internal sources into a format teams can present immediately
• Analyze call recordings and transcripts to identify AI use cases that map to each customer’s business, then automate the process of building and deploying those use cases at scale
• Build routing logic for assigning new customers to the right team member at handoff, accounting for current workload, open renewals, domain expertise, and timezone alignment
• Manufacture tools rather than operate them, building systems the post-sales team can run independently

Who You Are

• High-agency builder who can identify a problem in the customer lifecycle, scope a solution, and ship it without being closely managed
• Techfluently fluent in Python or JavaScript, comfortable building data pipelines, integrating APIs, and working across tools like Gong, Salesforce, and n8n
• AI-native thinker who defaults to automation and regularly experiments with agents, LLM APIs, and workflow frameworks
• Pragmatic about build versus buy, knowing when to leverage existing infrastructure rather than rebuild it
• Experience with post-sales, customer success, or account management operations
• Comfortable reasoning about data at a statistical level; building signal detection and predictive models, not just moving records between systems
• Familiar with tools like Gainsight, Gong, Salesforce, Dust, or similar customer-facing platforms
• Systems thinker who sees how data moves through the customer lifecycle and builds with that full picture in mind
• Comfortable operating in ambiguity and structuring your own roadmap

Location

This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.

Pay

The expected base salary range is $130,000 to $200,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.