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1 день назад

Customer Engineer (Pre-Sales) (AI)

175 000 - 195 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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 Engineer (Pre-Sales) (AI): Leading technical sales engagements and designing insurance-platform solutions with an accent on technical discovery, outcome-focused demos, and policy lifecycle configuration. Focus on building reusable demo environments, translating quoting and underwriting workflows into configurations, and solving customer objections with Product, Security, and Engineering.

Location: Remote - US and Canada; up to 30% travel

Base salary: $175,000–$195,000 annually; on-target earnings: $245,000–$275,000 annually. Total compensation includes stock options, benefits, and additional perks.

Company

hirify.global provides an AI-native platform for the insurance policy lifecycle, including quoting, rating, endorsements, underwriting, and portfolio optimization.

What you will do

  • Own technical sales engagements from discovery through close and deliver tailored demos focused on business outcomes.
  • Translate insurance workflows into platform configurations covering quoting, rating, endorsements, and portfolio optimization.
  • Lead RFP and security questionnaire responses with Product and Security teams.
  • Build reusable demo environments, onboarding materials, configuration libraries, rating logic examples, and technical collateral.
  • Help define and improve the pre-sales lifecycle, including discovery, solutioning, handoffs, and shared playbooks.
  • Collaborate with Product, Engineering, Implementation, and Customer Success to connect customer pain points, roadmap priorities, and post-sale context.

Requirements

  • 6–10+ years of experience in technical pre-sales or solutions engineering.
  • Hands-on experience with demos, architecture design, and enterprise sales support.
  • Strong insurance domain knowledge, or the ability to learn it quickly.
  • Familiarity with policy lifecycle management, rating, quoting, and underwriting systems.
  • Ability to communicate technical value to both executives and practitioners.
  • Coding competence in JavaScript and SQL.
  • Fluency with AI tools such as Gemini and Claude for building and configuring systems.
  • Experience working at high-growth, early-stage startups.

Nice to have

  • Degree in Computer Science, Software Engineering, Information Systems, or an equivalent qualification.

Culture & Benefits

  • Fast-moving, first-principles working environment focused on listening to users and learning.
  • Opportunity to work on AI-native software transforming insurance operations.
  • Stock options, benefits, and additional perks included in the total compensation package.
  • Equal-opportunity workplace with reasonable accommodation available during hiring and employment.

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