Technical Program Manager, AI- International

One or two program managers do the work that has traditionally taken four or five people: engagement manager, program manager, technical account manager, customer success manager. AI covers the coordination layer. If you want to prove that model rather than argue about it, this is the seat for you.

• Technical program manager or engagement manager at a consultancy

• Customer success director or technical account manager at an enterprise software company

• Solutions architect or principal consultant in a transformation practice

• Program director at a systems integrator, on the organizational change side of the work

• Telco or neocloud experience. Useful, and not required. The skills and the track record matter more than the logo on the badge

• AI/ML platform implementation experience (Databricks, Snowflake, AWS SageMaker)

• Management consulting background, strategy through execution

• Startup or scale-up experience, comfortable building process from nothing

• International accounts, Middle East or Asia-Pacific

Roughly half your time sits with partner stakeholders, executives through network operations leads, business units, and governance. About a quarter goes to the organizational work: process redesign, change management, enablement. The rest splits between AI-augmented program coordination and writing up what you learn so the next account starts ahead of this one.

7SG builds and supports the computing infrastructure that runs AI workloads for telcos and neoclouds, licenses the software that moves AI applications from pilot to production and provides the advisory work that tells them how to operate it.

On the infrastructure side that means low-level design of the data centre environment, structured cabling and field certification, oversight of GPU and server installation, the customer portal that provisions capacity, and 24x7 on-site support once the environment is live. The hardware belongs to the customer. We are paid for the engineering, the integration, and the managed service.

On the software side we license a platform that runs on the customer's infrastructure and manages the AI workloads across it: what is running, what it costs, and where each workload should run. The advisory work is assessment and design. We evaluate the environment a customer has, define the target architecture, and produce the roadmap they build against.

The first deployment is with a national telco in the UAE, under a multi-year agreement covering design, build, licence, and field services.