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3 часа назад

GTM Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
GTM Engineer (AI): Building Netic’s internal go-to-market engine and customer-facing revenue systems with an accent on TAM mapping, intent signals, and AI-enabled sales and marketing workflows. Focus on designing scalable data architecture, building automations and tools, and using customer usage data to improve campaigns, messaging, and revenue outcomes.

Location: San Francisco, United States; on-site

Company

hirify.global builds an AI revenue engine for essential service companies in North America and has raised $43M from Founders Fund, Greylock, Hanabi, and Dylan Field.

What you will do

  • Map the essential service total addressable market across the United States.
  • Develop, test, and monitor intent signals against the company database.
  • Help define the technology stack and build scalable internal tools, workflows, and automations for sales and marketing.
  • Enable marketers and sellers to use AI more effectively and apply GTM engineering principles to customer systems.
  • Build a customer-conversation feedback loop and analyze usage data to inform top-of-funnel campaigns and messaging.
  • Contribute across the business as the team scales.

Requirements

  • 3+ years in GTM engineering, sales, growth, revenue operations, or marketing operations.
  • On-site work in San Francisco, United States.
  • Technical foundations, including the ability to write code and design scalable system architectures.
  • Strong business intuition and experience improving important owned metrics.
  • Curiosity, ownership, resilience, and the ability to work effectively in ambiguous environments.
  • Strong cross-functional collaboration skills with Sales and internal partners.

Culture & Benefits

  • Build frontier AI systems for the physical economy.
  • Work with a team including builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard.
  • Culture centered on building, customer obsession, high ownership, first-principles thinking, craftsmanship, and rapid execution.

Hiring process

  • Submit a two-minute video demonstrating something you have built.

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