Назад
3 дня назад

Deployment Strategist (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
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
Deployment Strategist (AI): Deploying ElevenAgents to solve strategic customer problems through AI-powered customer-facing and operational workflows with an accent on enterprise use-case discovery, commercial structuring, and production readiness. Focus on designing agent solutions, building demos and prototypes, driving complex deployments to measurable outcomes, and translating field insights into product and model improvements.

Location: Remote and globally available; optional access to offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. Strategic customer work may require meaningful time onsite.

Company

ElevenLabs is an AI research and product company building voice, audio, creative, and enterprise AI agent platforms.

What you will do

  • Meet strategic customers to understand AI transformation goals, workflows, and operational pain points.
  • Own flagship enterprise deals end-to-end, including use-case selection, value propositions, commercial terms, and closing.
  • Identify high-impact use cases and collaborate with Forward Deployed Software Engineers to implement them.
  • Guide customers through agent design, orchestration, production readiness, and adoption of ElevenAgents.
  • Build demos, present proposals to technical and executive audiences, and ensure agents deliver measurable business outcomes.
  • Feed customer insights back to Research teams to influence the platform and model roadmap.

Requirements

  • 3+ years of experience working with customers in a technical capacity; direct enterprise customer experience is preferred.
  • Experience in product development, delivery, and change management.
  • Comfort with commercial discussions, value propositions, and enterprise sales cycles.
  • Basic proficiency in Python and familiarity with API integration.
  • Technical aptitude with LLMs, AI tooling, and AI agent frameworks.
  • Strong communication, problem-solving, ownership, and ability to map enterprise workflows to AI systems.

Culture & Benefits

  • High-velocity environment with rapid experimentation, autonomous teams, and minimal bureaucracy.
  • AI-first ways of working across engineering, growth, and operations.
  • Annual professional development stipend.
  • Annual stipend for meeting colleagues and company-wide offsite travel.
  • Monthly co-working stipend for employees outside main hubs.

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