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Manager, AI Success

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Manager, AI Success (AI/SaaS): Leading enterprise AI deployment programs and growing a team responsible for implementing Glean, with an accent on delivery governance, operational standards, and measurable customer value. Focus on building scalable playbooks, managing deployment risks and executive stakeholders, and translating field feedback into product and process improvements.

Location: Hybrid, with four days per week in the Mountain View, California office

Compensation: $210,000–$250,000 annual OTE, with potential variable compensation, equity, and benefits.

Company

Glean provides an enterprise Work AI platform with intelligent search, an AI assistant, scalable AI agents, SaaS connectors, flexible LLM support, and APIs.

What you will do

  • Lead, mentor, and develop a team of AI Success Managers while owning performance, operating rhythms, and career development.
  • Establish delivery playbooks, templates, and operating standards for SSO, people data, connectors, and deployment readiness.
  • Govern end-to-end customer delivery from kickoff through deployment, go-live, handoff, and renewal readiness.
  • Define and report portfolio KPIs including deployment velocity, time-to-value, adoption, satisfaction, and ROI indicators.
  • Partner with Sales, Solution Architects, AI Outcomes, Support, and R&D to improve customer outcomes and product readiness.
  • Engage executive sponsors, manage escalations, and systematize field feedback into product, tooling, and process improvements.

Requirements

  • 6+ years of customer-facing delivery, implementation, technical account management, or enterprise SaaS consulting experience.
  • 2+ years leading delivery, customer success, or professional services teams.
  • Strong understanding of SDLC and Agile/DevOps delivery practices, including SSO setup, people data, and enterprise connector configuration.
  • Experience building playbooks, standardizing processes, managing delivery at scale, and using KPIs for continuous improvement.
  • Executive presence, clear communication, escalation leadership, and cross-functional stakeholder management.
  • Cloud fluency with AWS, Azure, or GCP; relevant cloud certification or willingness to obtain one within 90 days is a plus.

Culture & Benefits

  • Medical, vision, and dental coverage with a generous time-off policy.
  • 401(k) contribution opportunity.
  • Home office improvement, annual education, and wellness stipends.
  • Regular company events and healthy lunches provided daily.
  • Inclusive workplace committed to diversity and equal opportunity.

Hiring process

  • Complete a brief AI-focused exercise or discussion during the interview process.
  • Discuss how AI tools, platforms, or workflows are designed and used to drive impact.

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