Deployment Strategist (DS

Role Summary:The Deployment Strategist (DS) will own the end-to-end deployment of Agentic AIsolutions to enterprise customers. Their primary goal is to bridge the gap between clientbusiness goals and our engineering reality. DS define what we build and when it is deployed,ensuring successful production launches and high adoption rates.Official Role Description:What you will doAs a Deployment Strategist at Takween AI, you are responsible for making AI deploymentsactually land.You lead enterprise customers from early discovery through pilot & production rollout,translating ambitious AI initiatives into clear scopes, executable plans, and measurableoutcomes.You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone isaligned 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 projectsthrough to the end.• Lead discovery with enterprise customers to understand workflows, constraints, andsuccess 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 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 customersYou will spend time onsite with customers, working through real constraints, answering difficultquestions, and ensuring solutions deliver real value.Why should you join:• You’ll be part of what is tipped as the fastest growing partner startup globally.• 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 outthere• Global platforms, local team, you’ll be part of the team in the KSA region• Never boring, you’ll be solving problems for and with the biggest enterprises inSaudi Arabia.• A mix of office and travel to clients (Always forward deployed)Great salary and early stage benefits 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 systemintegrations• 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• English, Arabic Language skillsNice 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 environmentsWhy 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 withreal systems, respect real constraints, and deliver measurable outcomes.Key Responsibilities:• Project Leadership: Lead the implementation lifecycle, orchestrating timelines acrossProduct, Engineering, and Client teams to align on deliverables and SLAs.• Scoping & Requirements: Define strict requirements, success metrics, and integrationplans for complex POCs and onboardings, protecting the engineering team from scopecreep.• Technical Translation: Translate high-level business needs into actionable projecttickets, ensuring the Agent Engineer has a clear blueprint to build against.• Performance Analysis: Monitor and analyze AI agent performance in production againstbusiness KPIs (e.g., resolution rates, customer satisfaction) and coordinate refinementcycles.• Client Success & Strategy: Act as the primary point of contact for the client. Identify anddevelop new AI use-cases to expand impact and adoption rates within the enterprise.Team CollaborationCTO: Field CTO & DS collaborate across the following different customer lifecycles:From Sales to Implementation: Vision vs. ExecutionIn this stage the collaboration centers on translating sales promises into engineering reality.• Field CTO: Establishes the technical "art of the possible" and the solution concept duringthe sales process.• DS: Takes that concept and is responsible for scoping and defining requirements,success metrics, and integration plans. The DS converts the CTO's high-level vision intoconcrete deliverable schedules.POC & Deployment ManagementDuring the active project phases, the roles split between "Strategic Advisor" and "DeploymentOwner."• Field CTO: Acts as the technical escalation point and advisor on complex architecture.• DS: Owns and leads the deployment of the solution to the enterprise customer. Theycoordinate across Product, Engineering, and Client teams to ensure everyone aligns ondeliverables, timelines, and SLAs.Post-Launch & ExpansionThe roles collaborate to turn a successful deployment into account growth.• DS: Monitors and analyzes the AI agent's performance in production, providing thehard data needed to prove value.• Collaboration: Using the DS's performance data, both roles work to identify anddevelop new AI use-cases with the customer, with the Field CTO leading the narrativeand the DS validating the feasibility.Agent EngineerDS and AE work in very close collaboration during the POC and implementation phase ofcustomer projects around the following topics:Scope vs. Solution• DS: Defines the "What" and "When." They are responsible for scoping and definingrequirements and ensuring the project stays within the agreed timeline. They protectthe engineer from scope creep by managing client expectations.• Agent Engineer: Defines the "How." They take the DS's requirements and translatethem into technical solutions , focusing on writing prompts and connecting APIs .Client Interface• DS: Owns the primary relationship. They coordinate across Product, Engineering, andClient teams and handle the "political" side of the project, including timelines and SLAs.• Agent Engineer: Acts as the technical specialist. While they also collaborate closely withenterprise customers , this is typically to understand specific workflows or solvetechnical blockers, rather than to manage the account.Production & Quality:• DS: Monitors the performance in production, looking at high-level success metrics (e.g.,"Is the agent solving the problem?").• Agent Engineer: Uses the DS's findings to refine the agent. They are the ones whoactually go into the code or prompt logic to fix issues and implement functions toimprove performance.Saudi national preferred.Join us if you are the one for this role!