Technical Deployment Lead – Forward Deployed Engineering

Jobtailor

Paris

Sur place

EUR 120 000 - 180 000

Plein temps

14 jours+
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Résumé du poste

Jobtailor seeks a senior leader to own the technical delivery plan across multiple AI-enabled workstreams, coordinating business objectives into a concrete roadmap with milestones. You will run day-to-day engineering execution, unblocking progress, and making real-time trade-offs to protect critical paths.

You will embed with customer teams to land deployments, map workflows, and drive adoption through onboarding and change management, partnering with Product and Research to ensure timely

Qualifications

  • 7+ years of customer-facing technical delivery leadership.
  • Track record of leading large, complex customer engagements, ideally involving AI.
  • Excel in high ambiguity environments and simplify complexity.
  • Able to map customer workflows, architectures, and move ambiguous problems to shipped systems.
  • Think strategically, connect customer needs to reusable solutions.
  • Shipped AI/LLM systems with understanding of production pitfalls.

Responsabilités

  • Own the technical delivery plan for multiple interdependent workstreams with milestones and acceptance criteria.
  • Run day-to-day engineering execution; drive delivery across OpenAI FDE and customer teams.
  • Embed with customer teams to land deployments and drive adoption; manage onboarding and change management.
  • Partner with Product and Research to land platform components and research workstreams on time.
  • Codify patterns and extract reusable signals to improve product and models.
  • Own value cases and ROI; define KPIs and report results to executives.

Connaissances

Customer-facing leadership
AI/LLM experience
Strategic reasoning
Technical fluency
Executive communication
Delivery orchestration

Description du poste

Responsibilities
  • Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
  • Run day‑to‑day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real‑time trade‑offs on scope and priority to protect the critical path.
  • Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.
  • Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.
  • Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
  • Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre‑/post‑deployment measurement and report to exec sponsors.
Requirements
  • Bring 7+ years of customer‑facing technical delivery leadership.
  • Track record of successfully leading large, complex, high‑stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
  • Excel in high ambiguity environments. Know how to simplify complex and dynamic work.
  • Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
  • Think strategically and pattern‑match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.
  • Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure‑testing architectures, and making trade‑offs.
  • Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.
  • You’re a translator with executive presence. You make complex technical trade‑offs legible to business leaders and convert strategy into day‑to‑day technical execution.
  • Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).
  • Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.
Core Competencies

Demonstrates expertise in technical delivery leadership, particularly in customer-facing roles, with a strong focus on AI/LLM systems and the ability to translate complex technical details into actionable strategies. Proven track record in managing high-stakes engagements, driving adoption, and measuring impact through KPIs.

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