OpenAI· Model Deployment for Business· Singapore
Technical Deployment Lead - Singapore
Classified Tasks (26)
Automate 0%Augment 69%Human-Only 31%
Augment (18)
AI assists, human decides
Own the technical delivery plan for multiple interdependent workstreams.
technical
Translate business outcomes and objectives into a technical delivery plan and roadmap with milestones, dependencies, and acceptance criteria.
technical
Track and drive delivery progress across OpenAI and customer teams.
operational
Manage dependencies across interdependent workstreams.
operational
Drive prototypes from concept (0) to MVP and through scale.
technical
Map customer workflows and define success criteria.
analytical
Shape and design tools and integrations to support customer workflows.
technical
Translate customer requirements into detailed delivery plans.
operational
Partner with Product and Research to align platform components and research workstreams to deployment timelines.
operational
Share field insights and deployment feedback with Product and Research to guide roadmap and priorities.
communication
Codify solution patterns and evaluation methodologies from field deployments.
analytical
Extract reusable solution patterns and package them for reuse across deployments.
operational
Package field signals to inform product and model improvements.
analytical
Own value cases and ROI calculations for deployments.
analytical
Set impact hypotheses, baselines, and KPIs for measuring deployment success.
analytical
Run pre-deployment and post-deployment measurements and analyses.
analytical
Report deployment impact, metrics, and status to executive sponsors.
communication
Ensure components ship on time to meet deployment milestones.
operational
Human-Only (8)
Requires human judgment
Define delivery approach for complex systems delivered to customers.
leadership
Own how systems are built, shipped, and adopted in customer environments.
operational
Run day-to-day engineering execution across OpenAI FDEs, Researchers, and Customer Engineers.
operational
Unblock progress and sequence work to maintain momentum.
operational
Make real-time trade-offs on scope and priority to protect the critical path.
leadership
Embed with customer teams to land production deployments and drive adoption.
communication
Lead onboarding activities for customer teams.
communication
Lead adoption initiatives and execute change-management activities to embed solutions.
leadership
Job description
Technical Deployment Lead - Singapore | OpenAI Careers ## Technical Deployment Lead - Singapore Model Deployment for Business - Singapore Apply now(opens in a new window) **About the team** OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. **About the Role** This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Singapore. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required. **In this role, you will:** * **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. **You’ll thrive in this role if you:** * 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 s