Technical Deployment Lead, Forward Deployed Engineering

OpenAI

Technical Deployment Lead orchestrating customer delivery and technical execution for OpenAI's engineering team. Driving production deployments, adoption, and partnerships with client teams in a hybrid work model.

Posted 7/10/2026full-timeStockholm • 🇸🇪 SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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. Capable of managing multiple interdependent workstreams while ensuring successful deployment and adoption through effective change management and stakeholder engagement.

Highest-signal resume keywords

Technical Delivery LeadershipAI/LLM Systems DeploymentCustomer Engagement ManagementStrategic Thinking and Pattern-MatchingChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical FluencySolution PatternsIntegration BasicsKPI MeasurementWorkflow MappingArchitecture SketchingTrade-Off AnalysisExecution Level DetailCustomer Workflow AnalysisProduction Pitfalls

Soft Skills

Executive PresenceSimplifying ComplexityFast Decision MakingAdaptability in AmbiguityCommunication Skills

Industry Keywords

HealthcareEnergyFinancial ServicesSemiconductorsIT

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Relocation assistance
Travel up to 50%