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3 дня назад

GTM AI Engineer (AI)

160 000 - 240 000$
Формат работы
onsite
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 AI Engineer (AI): Building software, agents, and data infrastructure for go-to-market workflows with an accent on LLM reliability, data integration, and production engineering. Focus on designing agent evaluations, connecting CRM and business data sources, and measuring the impact of internal systems on pipeline and conversion.

Location: On-site in San Francisco, California, United States, working from the Mission office.

Base salary: $160,000–$240,000 per year, plus equity and benefits.

Company

hirify.global builds continual learning infrastructure that enables enterprises to develop agent workforces trained on proprietary data and institutional expertise.

What you will do

  • Build software, agents, and applications for account research, prospect discovery, outreach personalization, inbound qualification, and pipeline reporting.
  • Connect CRM systems, communication tools, meeting transcripts, and external data sources to create accurate and accessible account and contact data.
  • Identify manual bottlenecks and develop reusable software that reduces repetitive work.
  • Develop evaluations, review workflows, and feedback loops to improve LLM research accuracy, generated content, and agent behavior.
  • Maintain production quality through code review, automated testing, monitoring, documentation, reliable deployments, debugging, and performance improvements.
  • Measure effects on qualified pipeline, conversion, and time saved to guide experiments and engineering priorities.

Requirements

  • Prior professional experience as a software engineer or machine learning engineer building and maintaining production systems on an engineering team.
  • Strong programming skills in Python or TypeScript, with experience using APIs, databases, and integrations.
  • Hands-on experience building with LLMs, including tool use, agent workflows, and evaluations.
  • Experience working with SQL and messy data, including reconciling information across multiple sources.
  • Strong engineering judgment, with the ability to ship quickly while keeping systems understandable, testable, and maintainable.
  • Ownership and product sense, including the ability to turn ambiguous business problems into useful tools, work directly with users, and improve solutions based on evidence.

Nice to have

  • Experience building internal tools, data pipelines, or automation for sales, marketing, or growth teams.
  • Familiarity with CRM systems, enrichment providers, and sales engagement tools.
  • Experience designing experiments and measuring how software changes affect business outcomes.

Culture & Benefits

  • Product-led, research-enabled, and forward-deployed environment focused on applying AI and complex systems to enterprise problems.
  • Close collaboration with customers and cross-functional work among engineers, researchers, and operators.
  • 100% employer-paid health insurance for the employee and family.
  • Unlimited PTO, paid parental leave, daily lunches and dinners, and transportation support.
  • 5% 401(k) match, equity, and visa sponsorship.

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