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17 часов назад

Forward Deploy Engineer II (AI Analytics)

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

Forward Deploy Engineer II (AI Analytics): Technical delivery and implementation of AI analytics products for enterprise customers with an accent on bridging the gap between customer needs and product capabilities. Focus on contributing to the product codebase, building reusable implementation patterns, and integrating complex data pipelines.

Location: Must be based in San Francisco, CA

Company

hirify.global is a leading AI analytics platform that helps thousands of customers optimize user experiences through powerful embedded AI Agents.

What you will do

  • Own end-to-end technical delivery for enterprise customer implementations, from sales engagement to post-deployment validation.
  • Contribute directly to the product codebase by submitting PRs and shipping customer-specific solutions.
  • Develop reusable implementation patterns and playbooks to reduce effort for future engagements.
  • Translate customer pain points into actionable feedback to influence the product roadmap.
  • Maintain an AI-native engineering workflow, utilizing AI tools for writing, testing, and debugging code.
  • Collaborate cross-functionally with Sales, Customer Success, and Product Engineering as a trusted technical voice.

Requirements

  • 2–4 years of experience as a software engineer with strong computer science fundamentals.
  • Hands-on experience shipping software in customer-facing contexts or technical integrations.
  • Proficiency in TypeScript, React, Python, Node.js, and AWS.
  • Ability to navigate, read, and contribute to complex production codebases.
  • Fluency with event schemas, data pipelines, APIs, and SDKs.
  • Location: Must be based in San Francisco, CA

Culture & Benefits

  • Commitment to Diversity, Equity, and Inclusion focused on psychological safety and empathy.
  • Values-driven culture emphasizing humility, ownership, and a growth mindset.
  • Agile environment that encourages shipping early and often to iterate based on feedback.
  • Professional standard of AI-native engineering workflows.

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