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9 часов назад

Customer Success Engineer (AI)

Формат работы
remote (только USA)/hybrid
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
Customer Success Engineer (AI): Supporting enterprise customers by guiding technical implementations, building demos, and creating code integrations for Scandit products and SDKs with an accent on customer adoption, retention, and technical solution design. Focus on translating customer requirements into feasible solutions, unblocking integrations, running technical workshops, and identifying account risks and growth opportunities.

Location: Chicago; remote across the Americas if not living near a hirify.global office, or hybrid if living near one. Travel approximately 20%, including short-notice 1–3 day trips to customer sites and hirify.global events. Work during US business hours in the Central or Eastern time zone, with morning overlap with European colleagues.

Company

hirify.global develops technology that automates workflows and provides actionable insights for delivery, healthcare, retail, and other industries.

What you will do

  • Own a portfolio of key US enterprise accounts and drive adoption, retention, and growth.
  • Develop deep expertise in hirify.global products and SDKs and guide customers through technical decisions.
  • Lead discovery conversations and translate customer needs into feasible hirify.global solutions.
  • Build tailored demos, code snippets, and small integrations to unblock customer implementations.
  • Run workshops, adoption reviews, and QBRs with technical and business stakeholders.
  • Identify at-risk accounts and expansion opportunities, partnering with Sales and collaborating with Product, Engineering, and Support; use AI tooling such as Claude Code for customer-facing technical work.

Requirements

  • At least 2 years of experience in a customer-facing technical pre-sales, post-sales, or support role at a B2B software company, such as Customer Success Engineer, Solutions Engineer, or Technical Account Manager.
  • Solid technical foundation and coding experience in any language, including writing or debugging code, scripts, or integrations; SDK or API experience is preferred.
  • Strong written and verbal communication, including the ability to present to business and technical audiences and explain technical problems clearly and concisely.
  • Strong strategic thinking, analytical skills, and understanding of enterprise IT architectures.
  • Ability to build strong customer and colleague relationships and work in a likeable, humble, and collaborative manner.
  • Ability to learn quickly and act on feedback and coaching.

Nice to have

  • Strong discovery skills and experience translating customer requirements into feasible technical solutions.
  • Experience running workshops, adoption reviews, or QBRs.
  • Experience working with Product, Engineering, Sales, and Marketing.
  • Background as a software engineer, mobile developer, solutions engineer, or solutions consultant.
  • Mobile development experience with iOS, Android, React Native, or Flutter.
  • Industry experience in retail, transport and logistics, computer vision, or mobile data capture.
  • Experience with Salesforce and a customer success platform such as Planhat or Gainsight.
  • Comfort using AI development tools such as Claude Code.

Culture & Benefits

  • Access to Claude Cowork, Claude Code, other AI-tool experimentation budgets, weekly AI sessions, and internal AI Champions.
  • Individual equity plan, office shutdown days, global team events, and innovation hackathons.
  • Birthday day off and location-specific benefits.
  • Inclusive work environment focused on diverse backgrounds and equal consideration.

Hiring process

  • 30–45 minute call with the Talent Acquisition Manager, followed by a 30–45 minute hiring manager conversation.
  • One-hour technical interview with a team member; no preparation is required.
  • One-hour panel presentation of a case study sent at least 5 days in advance.

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