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2 дня назад

Lead GTM Engineer, Post-Sales (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead GTM Engineer, Post-Sales (AI Automation): Building an AI-native post-sales operating system with an accent on agentic workflows, customer health signals, account scoring, and Salesforce integrations. Focus on designing shared data and signal foundations, automating renewals and support motions, and leading the GTM Engineering pod across pre-sales and post-sales workflows.

Location: Remote (US), with occasional onsite work

Company

hirify.global is a well-established, growing software company building an AI-native operating system for its go-to-market operations.

What you will do

  • Build scaled Customer Success workflows that interpret usage, ticket, billing, and sentiment signals and trigger digital nudges, AI interactions, or human handoffs.
  • Identify repetitive work across Customer Success, Account Management, Retention and Renewals, Professional Services, and Support, then automate it with AI agents and workflows.
  • Transform operational data into account health scores, churn-risk indicators, and expansion signals.
  • Develop AI-supported motions for renewals, onboarding check-ins, and low-touch QBRs.
  • Maintain integrations between Salesforce, AI vendors, and communication channels, while building the post-sales metric layer for NRR, churn risk, SLA adherence, and agent performance.
  • Lead the GTM Engineering pod, own the shared data and signal foundation, define Salesforce and integration standards, review work, and support the pre-sales engineer.

Requirements

  • 7+ years of experience in RevOps, Customer Success Operations, or GTM engineering, including experience as a senior technical builder.
  • Experience working with APIs, data models, AI automation platforms, system integrations, and code for internal tools.
  • Strong understanding of B2B SaaS economics, customer health scoring, churn, and NRR.
  • Knowledge of traditional Customer Success frameworks and interest in developing AI-native approaches.
  • Experience setting technical direction for other builders.

Culture & Benefits

  • Autonomous role with responsibility for identifying and prioritizing high-impact projects.
  • Opportunity to map manual workflows across legacy verticals and build new automation systems from a blank canvas.
  • Responsibility for foundational systems that support a 25,000-customer base and long-term company growth.

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