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7 дней назад

Deployment Strategist (AI)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Deployment Strategist (AI): Scaling enterprise AI infrastructure from proof of value to production and organization-wide deployment with an accent on customer adoption, stakeholder alignment, and account health. Focus on leading executive business reviews, translating AI goals into deployment plans across MCPs, skills, and agents, and driving renewals and expansion.

Location: Hybrid in New York City or remote within US time zones

Company

hirify.global provides an enterprise platform for MCPs, Skills, and Agents with security, governance, and observability for deploying AI across organizations.

What you will do

  • Own a portfolio of enterprise accounts from proof of value through production deployment, broad adoption, and renewal.
  • Coordinate security, IT, infrastructure, AI, and business stakeholders around deployment plans and customer outcomes.
  • Lead QBRs, executive readouts, and enablement sessions with customer leaders, including CISOs, CTOs, and AI transformation executives.
  • Guide customers on MCPs, skills, agents, product features, and practical AI deployment plans.
  • Monitor account health, triage technical issues, and provide support teams with actionable context.
  • Partner with Account Executives and Forward Deployed Engineers on renewals, expansion, and improving the deployment playbook.

Requirements

  • 5+ years of experience in a customer-facing technical role such as Deployment Strategist, Technical Account Manager, Customer Success Engineer, Solutions Architect, professional services, or technology consulting.
  • Experience managing multiple enterprise accounts with shared responsibility for renewals and expansion.
  • Consulting or operating experience connecting products to business goals and structuring ambiguous problems.
  • Technical knowledge of SSO, SCIM, MCP servers, AI clients, access policies, logs, and API responses.
  • Experience leading business reviews and enablement sessions with security, IT, and AI executives.
  • Strong written communication for account plans, handoff notes, and actionable engineering tickets.

Nice to have

  • Active GitHub profile, side software projects, or hobby projects built with AI.
  • Experience at an AI or data platform company.
  • Post-sale experience with security, identity, or developer infrastructure products.
  • Experience supporting self-hosted products on AWS, Kubernetes, or Terraform.
  • Experience building customer health scoring or dashboards in SQL.

Culture & Benefits

  • Work alongside engineers who helped establish MCP and Forward Deployed Engineers responsible for technical rollouts.
  • Competitive salary and equity package.
  • Paid vacation, sick leave, and parental leave.
  • Professional development budget for conferences, courses, and certifications.
  • Choice of laptop and accessories, plus health, dental, and vision coverage.
  • Direct interaction with innovative enterprise customers.

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