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2 часа назад

Technical Customer Success Engineer (AI)

120 000 - 250 000$
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

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TL;DR
Technical Customer Success Engineer (AI): Leading enterprise-wide implementations of an AI-powered code intelligence product, onboarding engineering organizations, and resolving technical customer issues with an accent on GitHub integrations, agentic workflows, and software development practices. Focus on translating complex code analysis and developer productivity concepts, shaping product improvements from customer feedback, and supporting adoption across enterprise accounts.

Location: San Francisco, United States; work arrangement: on-site

Base pay: $120,000–$250,000 per year

Company

hirify.global is a Series A software company building an AI-powered source of truth for how software products and codebases evolve.

What you will do

  • Build and manage relationships with engineering leaders and their teams after the sale.
  • Lead enterprise-wide implementations, including customer onboarding and product configuration.
  • Teach customers how to use hirify.global and help them realize value quickly.
  • Provide first-line technical support by investigating and answering customer questions.
  • Gather customer feedback, inform product decisions, and contribute features that can reach production quickly.
  • Collaborate directly with founders, engineers, and sales on strategic product and company decisions.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of experience in customer success, solutions engineering, or technical account management at a developer tools or SaaS company.
  • Strong understanding of software development lifecycles, Git, modern development workflows, codebase structure, and code review.
  • Deep familiarity with GitHub, including pull requests, branching strategies, CI/CD pipelines, and GitHub Apps.
  • Experience with agentic coding tools, LLM concepts, prompt engineering, AI-assisted code analysis, ASTs, and static analysis.
  • Ability to manage enterprise accounts, drive adoption and expansion, and communicate effectively with both engineering and business stakeholders.

Nice to have

  • Professional software engineering experience.
  • Experience working at an early-stage startup.
  • Knowledge of data security and compliance concerns related to third-party access to source code.
  • Familiarity with Linear, Jira, and the competitive landscape of AI-powered code review tools.

Culture & Benefits

  • Small, flat organizational structure with high individual ownership and autonomy.
  • Direct collaboration with founders, engineers, and sales.
  • Emphasis on accountability, craftsmanship, and improving the product.
  • Early-stage startup environment requiring adaptability and willingness to work on high-risk, ambitious initiatives.
  • Focus on building a product that customers actively value and use.

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