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Full-time
Competitive Compensation, Career Growth Opportunities, Flexible Working Environment
Posted 40d ago
~40 hrs/week
Responsibilities
The Deployment Strategist bridges the gap between signed contracts and working AI deployments by owning the end-to-end implementation lifecycle for enterprise clients. They act as a trusted advisor, configuring the AI platform to meet specific customer needs while translating feedback into product improvements.
Requirements
Requires 5+ years of experience in product management, strategy consulting, or program management with a track record of coordinating technical delivery. Candidates must possess technical depth in AI concepts like LLMs and RAG and be comfortable engaging with C-suite stakeholders.
Full job description
About AI71:
ai71 builds enterprise-grade AI for the organisations that run the real economy: governments, banks and large enterprises across the Middle East & Africa. Our work is grounded in deep research and a commitment to deploying AI securely, responsibly and at scale.
“Ask” is our agentic AI platform. It puts AI agents to work on an organisation’s own knowledge, systems and workflows: agents that reason through complexity, draw on the organisation’s collective knowledge, and complete real work rather than just answer questions. Ask is built to be infrastructure and model-agnostic, so it runs inside a customer’s existing stack and security perimeter instead of forcing them onto ours. Today it is deployed across knowledge-heavy functions like legal, finance, HR and procurement, in some of the most regulated environments in the world.
The Role:
As ai71 scales across the region, the gap between a signed contract and a working deployment has become one of the most consequential spaces in the business. Deployment Strategists own that gap. You sit inside the deployment strategy team, embedded with enterprise customers from first discovery through to steady-state adoption, acting as the bridge between what a customer needs and what ASK can do.
This is deliberately not a customer success or professional services function. It is hands-on and customer-facing. You run the engagement from kickoff to go-live, own the relationship with the customer’s operational and technical counterparts, work out how to configure Ask for their environment, stack and chosen models — because Ask is model- and infrastructure-agnostic, no two deployments look the same — design the testing and evaluation frameworks that prove it works, and keep a complex programme on cadence. What you learn feeds back into the product team: how we deploy, what we standardise, and where we invest in tooling.
What You'll Do:
As a deployment strategist you are a trusted advisor to our customers. You are an expert at drawing out their requirements and pain points, distilling them to their core, and working with product and forward deployed engineers to ship deployments that move the customer’s numbers. You will:
Own end-to-end deployment for one or more enterprise clients across a structured lifecycle, from commercial brief through to offboarding
Own the business outcome of each deployment — adoption, value realised and the case for expansion — not just the go-live. A deployment that ships but isn’t used has not succeeded.
Serve as the primary point of contact for client operational and technical stakeholders throughout each engagement, driving the client relationship forward and solidifying ai71 as a trusted partner
Shape how clients define success early in each engagement — including evaluation criteria, acceptance thresholds, and what success looks like before go-live
Define and run the deployment cadence, from kickoff, to regular check-ins and steercos, as well as user onboarding and platform training
Work with customers to identify and map their AI use cases, helping them to define an agentic future state for their core processes and services
Build and deliver demos for client stakeholders ranging from technical teams to executive sponsors focused on their desired business outcomes
Work with Product and Engineering to translate client feedback into platform improvements and prioritised requests
Improve the function itself: building the playbooks, templates and standards that make each deployment better than the last.
What You'll Bring:
You bring 5+ years in product management, management or strategy consulting, program management, or an adjacent role where you have coordinated technical delivery in a fast-paced environment. Engineering management, technical product management and production roles are also common paths in — we are open to a range of backgrounds. Prior exposure to agentic systems, AI platforms or enterprise SaaS is a real plus. The role does not require coding or engineering experience, but you should be comfortable holding the room with technical and non-technical audiences alike.
Beyond experience, here are the qualities we are looking for:
Ownership: you have a keen sense of ownership and can point to complex programs that would not have shipped without you. Not facilitating, owning.You are comfortable in environments where the playbook is still being written, and you shape the function rather than wait to be handed one.
Technical depth: you can dive into AI concepts and hold your own with engineers — critiquing designs, surfacing risks, asking the question that makes an FDE pause. You know your way around the building blocks of modern AI products (LLMs, agents, evals, RAG, orchestration), or are hungry to get there fast, and you have spent real time building with agentic AI in both professional and personal settings.
Relationships: you build trust with technical and non-technical stakeholders at every level, all the way to the C-Suite. You know what makes them tick and how to take them on the change-management journey of AI adoption.
Clarity: you connect the dots in ways others do not, especially around use cases, dependencies and organizational bottlenecks, and you strive to reach alignment through shared understanding, clear stakeholder management, and consistent direction.
This role is embedded with clients, so expect significant onsite time with customers across the UAE and the wider region.
We know many strong candidates won’t tick every box above. If your experience looks a little different but you believe you can bring value to this role, we would like to hear from you.
Why AI71:
Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.
Transforming industries with the power of AI and the promise of data autonomy.
Industry
Technology, Information and Internet
Company size
51-200 employees
AI71 is an applied research team dedicated to creating helpful and responsible AI solutions.
Working closely with our industry partners, our cross-functional teams of AI experts build innovative products and solutions grounded in the cutting-edge research of our colleagues from the Technology Innovation Institute (TII).
Our offerings spans Developer tools, Enterprise Solutions and Advisory Services, delivering impactful AI-driven solutions that are designed to address our partner’s needs.
How many Data & Analytics jobs are open in Abu Dhabi, United Arab Emirates right now?
There are currently 218 open data & analytics positions in Abu Dhabi, United Arab Emirates listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Abu Dhabi, United Arab Emirates?
Companies currently hiring include Etihad, AI71, Bybit, NorthBay Solutions, ADIB - Abu Dhabi Islamic Bank, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Abu Dhabi, United Arab Emirates?
Yes — 20 of the 218 open data & analytics positions offer remote or hybrid work (12 remote, 8 hybrid).
How do I apply for Data & Analytics jobs in Abu Dhabi, United Arab Emirates?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.