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3 дня назад

GTM Systems Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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 Systems Engineer (AI) (Salesforce/GTM Operations): Building and scaling Salesforce and revenue-operations systems, data models, integrations, forecasting infrastructure, and AI-powered workflows with an accent on Salesforce architecture, data quality, and GTM tooling. Focus on designing complex account and territory models, deploying LLM-based automation, and ensuring reliable pipeline, attribution, and forecast data.

Location: Remote in the United States; hubs in New York City and San Francisco are available

Company

hirify.global builds open-source and hosted computer vision and artificial intelligence tools used by more than 1 million developers.

What you will do

  • Build, customize, test, and scale Salesforce functionality using Apex, Lightning Web Components, Flows, custom objects, and source-controlled deployments.
  • Implement GTM data models for account hierarchies, product catalogs, territories, coverage, sales handoffs, forecasting, renewals, expansion, and compensation.
  • Partner with data engineering on SQL, BigQuery, programmatic BI, Salesforce reporting, dashboards, and self-service data structures.
  • Own data quality, deduplication, field standardization, integrations, migrations, and data pipelines across the GTM stack.
  • Build partner and cloud marketplace revenue infrastructure, including deal registration, attribution, and trusted reporting.
  • Control access and rollout for AI agents while designing and deploying AI- and LLM-powered GTM workflows; support routing, assignment, SLA, and bulk-upload issues.

Requirements

  • 5+ years building on Salesforce in a technical administrator or developer capacity and 5+ years supporting Sales, Revenue Operations, or GTM teams.
  • Working knowledge of Salesforce, Apex, Lightning Web Components, and Salesforce integrations.
  • Experience testing and deploying solutions, ideally with source tracking and the Salesforce Metadata API.
  • Experience implementing automation, custom objects, and non-trivial business logic.
  • Working SQL skills and experience with BigQuery, Snowflake, or a similar data warehouse.
  • Practical understanding of product catalogs, pipeline, forecasting, territories, renewals, expansion, and compensation planning and administration.
  • Experience with GTM tools such as communication, enrichment, quoting, CLM, and e-signature platforms.
  • Hands-on experience building or integrating LLM-based workflows and building with AI coding agents.
  • High agency, a bias toward action, and strong GTM instincts.

Nice to have

  • Salesforce Platform Developer Level 1 certification or higher.
  • Source-control experience, particularly for Salesforce deployments.
  • Experience with land-and-expand enterprise sales, product-led growth, or developer-first companies.
  • Partner, channel, or cloud marketplace operations experience.
  • Stakeholder management experience and willingness to use AI to improve output and outcomes.
  • Experience managing or supporting variable compensation programs.

Culture & Benefits

  • Fully distributed work with the option to work from home, coworking spaces, or company hubs; team onsites are available.
  • $4,000 annual travel stipend, health insurance coverage of up to 100% for the employee and family, and a $350 monthly productivity stipend.
  • $350 monthly AI stipend, $500 one-time home-office stipend, and $150 monthly team-lunch stipend.
  • Unlimited PTO with an annual two-week minimum, 12 weeks of parental leave, and company equity.
  • Relocation bonus is available for moving to a company hub.

Hiring process

  • Application review includes the application, LinkedIn, and GitHub; candidates are encouraged to write about something built with hirify.global or contribute to an open-source project.
  • Process includes recruiter or hiring-manager discussion, a 60-minute technical assessment, two team interviews, and a leadership discussion.
  • References are required.

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