Wonderful Logo

Wonderful

Deployment Strategist

Posted 5 Days Ago
Be an Early Applicant
In-Office
Singapore, SGP
Entry level
In-Office
Singapore, SGP
Entry level
Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment processes; coordinate Product, Engineering, Forward Deployed Engineers, and customer stakeholders; manage risks and blockers; support launches; monitor deployed AI agents; drive adoption, improvements, and expansion opportunities.
The summary above was generated by AI
What You'll Do

As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.

Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.

This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.

  • Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.

  • Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.

  • Define scope, success metrics, and integration plans for pilots and rollouts.

  • Translate customer needs into clear deployment plans for engineering teams.

  • Coordinate deployments across Product, Engineering, and customer stakeholders.

  • Track progress, manage risks, and remove blockers throughout the deployment.

  • Support production launches and ensure solutions are adopted and working as intended.

  • Monitor deployed agents and drive follow-up improvements based on real usage.

  • Identify additional use cases and expansion opportunities with customers.

You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.

Why Should You
  • You’ll be part of what is tipped as the fastest-growing startup in Europe.

  • Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.

  • You’ll join a team of high-agency builders coming from the best tech companies out there.

  • Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.

Who You Are
  • Experience in deployment-focused, technical, or execution-oriented roles.

  • Strong ability to structure ambiguous problems and turn them into concrete plans.

  • Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.

  • Clear communication and strong stakeholder management skills.

  • High ownership mindset and bias toward action.

  • Interest in building and deploying AI-powered systems in real environments.

Nice To Have
  • Background in solutions engineering, technical consulting, or forward-deployed roles.

  • Prior hands-on engineering experience.

  • Experience supporting production software launches.

  • Experience working in high-growth or early-stage environments.

Why This Role Exists

Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.

Candidate Privacy Notice

Wonderful Singapore Office

Similar Jobs

5 Days Ago
In-Office or Remote
Singapore, SGP
Entry level
Entry level
Artificial Intelligence • Enterprise Web • Software • Conversational AI
Lead enterprise AI deployments from discovery through production rollout. Define scopes, success metrics, integration plans, and deployment strategies; coordinate customers, Product, and Engineering; track risks, remove blockers, support launches, monitor deployed agents, drive improvements, and identify expansion opportunities. The role requires customer-facing technical communication, stakeholder management, comfort with ambiguity, and hands-on execution across AI-powered system deployments.
Top Skills: AIAi AgentsAPIsData FlowsMcpSystem Integrations
Yesterday
Remote or Hybrid
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills: Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Yesterday
In-Office
Singapore, SGP
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and engineer database systems supporting manufacturing and engineering. Responsibilities include installation, upgrades, patching, access management, backups, performance tuning, monitoring, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.
Top Skills: Ai-Assisted ToolsDatabase MonitoringDatabase SystemsDisaster RecoveryFailover TestingJavaLinuxMicrosoft Sql ServerOracle DatabasePowershellPythonSQLWindows

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account