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11 дней назад

Product Ops Engineer Intern (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Product Ops Engineer Intern (AI): Building internal applications, AI agents, data pipelines, and integrations to automate operational workflows across product, engineering, deployments, and go-to-market with an accent on agentic automation and cross-functional enablement. Focus on designing production tools, coordinating deployment and RLHF labeling operations, and translating technical capabilities into commercial workflows.

Location: San Francisco, United States; hybrid

Company

hirify.global builds infrastructure for enterprises to create and orchestrate autonomous AI workforces across voice, email, and enterprise systems.

What you will do

  • Design, deploy, and monitor AI agents that automate recurring operational workflows end to end.
  • Build and ship internal applications for deployment tracking, release and feature enablement, field feedback intake, and labeling operations.
  • Develop cross-functional agentic workflows, data pipelines, and integrations for Product, Engineering, Deployments, Go-To-Market, and Operations.
  • Partner with Go-To-Market on technical enablement, Product-Led Sales motions, and feature pricing structures.
  • Work directly with the CTO, Head of Product, and internal subject-matter experts to improve tools through user feedback.

Requirements

  • Currently enrolled in or recently graduated from a bachelor's or master's program in Computer Science, Engineering, Data Science, or a related technical field.
  • Strong analytical and technical aptitude, including an understanding of APIs, data structures, and engineering constraints.
  • Experience working across multiple stakeholders, especially between Engineering and Commercial or Field teams.
  • Ability to balance strategic work such as pricing and analysis with hands-on execution such as deployment coordination and RLHF data-labeling operations.

Culture & Benefits

  • Ownership of production tools and AI agents used by real internal users.
  • Mentorship from an experienced engineering team and direct exposure to deployments, go-to-market, and operations.
  • Autonomy and responsibility for projects, with encouragement to ship.
  • Operating principles include extreme ownership, craftsmanship, first-principles thinking, focused urgency, and friendly collaboration.
  • Backed by a16z, Y Combinator, Base10, Prysm Capital, and Eurazeo.

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