AI Deployment Lead — Customer-Facing LLM Solutions

Jobtailor

Madrid

Presencial

EUR 110.000 - 160.000

Jornada completa

14 días+

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Descripción de la vacante

Jobtailor is seeking a seasoned customer‑facing technical delivery leader to drive OpenAI deployments. You will own the technical delivery plan across multiple interdependent workstreams and run day‑to‑day engineering execution, embedding with customer teams to land deployments and drive adoption.

You will partner with Product and Research to meet deployment goals, codify solution patterns, and own value cases and ROI, leveraging deep AI/LLM experience across high-stakes engagements.

Formación

  • 7+ years of customer-facing technical delivery leadership required.
  • Proven track record leading large, complex, high-stakes customer engagements.
  • Experience in high ambiguity environments.
  • Strong technical fluency.
  • Must have shipped AI/LLM systems.
  • Expertise in at least one major sector (healthcare, energy, financial services, semiconductors, IT).

Responsabilidades

  • Define how OpenAI delivers complex systems to customers.
  • Own the technical delivery plan for multiple interdependent workstreams.
  • Run day-to-day engineering execution.
  • Embed with customer teams to land production deployments and drive adoption.
  • Partner with Product and Research to ensure deployment goals are met.
  • Codify solution patterns and evals.
  • Own value cases and ROI.

Conocimientos

Tech Delivery Planning
Engineering Execution
Pattern Codification
Value Case Dev
ROI Analysis
Customer-Facing Leadership
AI/LLM Deployment
Complex Engagements
High Ambiguity
Technical Fluency

Descripción del empleo

Jobtailor is seeking a seasoned customer‑facing technical delivery leader to drive OpenAI deployments. You will own the technical delivery plan across multiple interdependent workstreams and run day‑to‑day engineering execution, embedding with customer teams to land deployments and drive adoption.

You will partner with Product and Research to meet deployment goals, codify solution patterns, and own value cases and ROI, leveraging deep AI/LLM experience across high-stakes engagements.

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