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13 часов назад

Founding Technical Customer Success Engineer (AI Cybersecurity)

160 000 - 180 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Founding Technical Customer Success Engineer (AI Cybersecurity): Owning the post-sale lifecycle for enterprise security customers, from onboarding and AI workflow adoption through quantified value realization, expansion, and renewal, with an accent on hands-on security operations, customer health, and technical integrations. Focus on building the CS playbook, triaging integration and product issues, demonstrating measurable customer outcomes, and turning field feedback into product improvements.

Location: Remote

Compensation: $160,000–$180,000 per year, plus a top-of-market equity component.

Company

hirify.global provides an AI-native security platform that helps cybersecurity teams defend against advanced AI-powered cyber threats.

What you will do

  • Own the post-sale lifecycle for enterprise customers across onboarding, adoption, value realization, expansion, and renewal.
  • Lead onboarding plans, integrations, data connections, alerting configuration, escalation paths, and time-to-value tracking.
  • Monitor customer health using product engagement, outcome quality, integration health, AI adoption, and risk indicators.
  • Deliver data-driven QBRs that quantify savings, coverage gains, closed gaps, and analyst time returned.
  • Drive adoption of AI-native investigation, detection, and hunting workflows while triaging technical issues with customers and engineering.
  • Build the customer success playbook and provide structured customer feedback to product and detection teams.

Requirements

  • 5+ years of experience in customer success management, technical account management, or post-sales solutions roles in B2B cybersecurity or technical enterprise SaaS.
  • Experience owning enterprise renewals and expansions, with knowledge of GRR and NRR metrics.
  • Practical understanding of AI and daily use of LLM tools, including the ability to explain agentic workflows to SOC analysts.
  • Security domain fluency across SOC operations, SIEM, EDR/XDR, SOAR, identity, and cloud environments.
  • Ability to analyze dashboards, usage data, and detection metrics; strong project management and written communication skills.
  • Comfort building processes from scratch as the first and only person in the customer success function.

Nice to have

  • Sales Engineering, Solutions Engineering, onboarding, or implementation engineering experience.
  • Hands-on SOC analyst, detection engineering, or incident response background.
  • Experience as an early customer success hire at a security or AI startup.
  • Familiarity with SQL, APIs, or light scripting.

Culture & Benefits

  • Remote work environment focused on meaningful cybersecurity impact.
  • Equity and earning potential aligned with the value created.
  • Opportunity to build the customer success foundation, playbook, and renewal model.
  • Inclusive environment welcoming diverse backgrounds, experiences, and perspectives.

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