
About 7sg Inc.
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.
You own 1 or 2 strategic partner accounts and you are accountable for what comes out of them from implementation planning through on-going operations, ensuring they are getting the most value from the 7SG relationship.
Our customers are telcos and neoclouds building AI platforms that their enterprise and government customers will run on. That gives the job two layers. The partner has to operate the platform. The partner's customers have to adopt it. Neither one happens unless the architecture is correct.
The platform solves the technical problem with enterprise AI adoption. The organizational one is open. Partners are built around processes that assume the old cost of doing things: large teams, long cycles, heavy infrastructure. AI changes what those processes should cost, and no process updates itself. Your job is to make it update, inside regulated national-scale environments where nothing ships casually.
The account. Single point of accountability for 1 or 2 partners, from the executive sponsor down through delivery. You are measured on how much of the platform they adopt and operate, not on how quickly projects get closed.
Adoption on both sides. Get the partner’s internal AI workloads into production, followed by getting the partner's customers onto the platform. The target is 3 or more production workloads within 12 months, starting from zero.
The organization around the technology. Rethink processes with the partner's teams. Enable every group between us and the developer: IT, network operations, security, compliance, governance, procurement, the business units. The developer is the end user, and the developer's experience depends on all of them being ready.
Contract project managers. As a build-out grows, you bring in contract PMs for tactical execution under your oversight. You have input in the SOW’s. You own the outcome.
Knowledge that travels. What you learn at the first partner becomes the starting point for the next one. You write the playbook for the organizational change alongside the technical documentation.
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
• 7 to 10+ years on strategic enterprise or carrier accounts, $5M to $50M and up
• You have changed how a customer organization works, and you can name the change and what it produced
• Comfortable across IT, network operations, business units, governance, security, and procurement in the same week
• Technical credibility on AI/ML, data pipelines, and cloud infrastructure. Be able to hold your own in discussions with client senior technical leaders.
• You have delivered through partners rather than direct to end users: GSIs, telcos, or other intermediaries
• Regulated industry background: telecom, financial services, healthcare, government
• 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.
Delivery
United Kingdom
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