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2 дня назад

GTM Engineer (AI)

130 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
GTM Engineer (AI): Building customer lifecycle infrastructure, automated health and renewal scoring, expansion signal detection, and AI-powered workflows with an accent on data pipelines, API integrations, and customer intelligence. Focus on designing predictive models, automating post-sales operations, and developing systems that help customer success teams scale.

Location: On-site at the Union Square, New York City office

Salary: $130,000–$200,000 annual base salary, plus equity and benefits.

Company

hirify.global is an AI search marketing platform providing analytics, intelligence, and agent automation for brands.

What you will do

  • Build automated customer health scoring using product usage, support signals, and engagement data.
  • Design expansion and renewal-risk detection systems to help account managers identify upsell opportunities and at-risk accounts.
  • Automate onboarding, usage reviews, adoption nudges, and other recurring customer lifecycle touchpoints.
  • Generate business review materials from usage metrics, ROI data, and AI use-case recommendations.
  • Analyze customer calls and transcripts to identify AI use cases and automate their deployment.
  • Build customer routing and handoff tools based on workload, renewals, expertise, and timezone alignment.

Requirements

  • Strong ownership and the ability to scope and ship solutions independently.
  • Technical fluency in Python or JavaScript, including data pipelines and API integrations.
  • Experience with tools such as Gong, Salesforce, and n8n; familiarity with Gainsight, Dust, or similar platforms.
  • Experience in post-sales, customer success, or account management operations.
  • Ability to build signal-detection and predictive models and reason about data statistically.
  • Systems thinking, pragmatic build-versus-buy judgment, and comfort operating in ambiguity.

Nice to have

  • Experience experimenting with agents, LLM APIs, and workflow frameworks.

Culture & Benefits

  • Fast-paced, high-agency environment focused on speed, iteration, and meaningful impact.
  • Base salary is supplemented with equity and a full range of benefits and perks.
  • Work involves building tools that the post-sales team can operate independently.

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