GTM Engineer, Post-Sales

Profound
New York
Workplace: OnsiteFull timeUSD 130,000 - 200,000 annuallyFunction: SalesSkills: ["Problem-solving","Communication","Systems thinking"]

GTM Engineer for the Post-Sales team builds automated workflows and data-driven tools to help Customer Success scale. You’ll design health scoring, expansion signals, renewals risk models, and automated customer intelligence across the lifecycle, enabling engagement managers and account managers to act with data-backed precision.

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FursaFursa
Profound
Profound
4 months ago

GTM Engineer, Post-Sales

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

GTM Engineer for the Post-Sales team builds automated workflows and data-driven tools to help Customer Success scale. You’ll design health scoring, expansion signals, renewals risk models, and automated customer intelligence across the lifecycle, enabling engagement managers and account managers to act with data-backed precision.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Sales

Key Responsibilities

  • •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 surfaces accounts ready to grow, flagging patterns in usage, seat activity, and engagement that precede upsell conversations
  • •Automate recurring touchpoints across the customer lifecycle, including onboarding checklists, usage review summaries, and adoption nudges
  • •Build renewal risk scoring that surfaces at-risk accounts 60+ days before renewal date to enable timely interventions
  • •Generate business review materials by pulling usage metrics, ROI data, and AI use case recommendations from multiple internal sources

Pay and Benefits

Salary: USD 130,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Technically fluent in Python or JavaScript, with experience building data pipelines and integrating APIs
  • •Experience in post-sales, customer success, or account management operations
  • •Ability to design automated workflows and tooling to enable scale across the customer lifecycle
  • •Familiarity with tools like Gong, Salesforce, and n8n
  • •Comfortable working in ambiguity and shaping your own roadmap
Experience:SaaSCustomer success
Skills:Problem-solvingCommunicationSystems thinking
Tech Stack:PythonJavaScriptAPIsGongSalesforceN8nData pipelines

Company Brief

Profound
Builds an AI visibility and answer‑engine optimization platform that helps enterprise brands measure, optimize, and control how they appear across ChatGPT, Google AI, Perplexity and other AI/answer engines.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series B
Headquarters: New York, United States
Founded: 2024
WebsiteLinkedIn