"We're building the most powerful AI Account Manager that grows client satisfaction and ROI. If that excites you, read on."
Here's what we know: B2B companies rely on their account management and client service teams to deliver ROI for clients and ensure they’re satisfied and scaling. But they’re drowning in manual admin, reactive to risks and blind to ways to scale the client relationship. Historically, client service has been manual and reliant on an individuals capacity, in the future client service will be delivered by humans with AI teammates utilising the organisations collective intelligence.
Here's what we're building: An autonomous AI Account Manager (AI workspace including AI Assistant and Agents) that doesn't just analyze client data - it takes action. Drafting communications, prioritizing accounts, predicting low satisfaction early, and recommending strategies that increase client revenue. We've proven this works with enterprise customers already paying us significant ARR.
Here's where you come in: We need someone ambitious who can build complete features end-to-end - from the database schema to the API to the conversational interface users interact with. Not just backend. Not just frontend. The full stack. Because the best product experiences come from engineers who own the whole journey.
Our founding team scaled products at Facebook, OVO Energy, and Fnatic to millions in ARR. We just closed $3M in funding and have enterprise customers seeing 20%+ revenue increases using our platform. This is the inflection point - we're moving from product-market fit to product-market scale.
We're building in Dubai because the Middle East is becoming a global AI hub, and we want to be at the center of it. With offices in the US and UK also.
You'll be our next full-stack hire (4 open roles), joining a lean technical team (currently 4 people) where everyone ships features end-to-end. Your mandate: build complete product experiences - from agentic AI workflows to enterprise integrations to the chat interfaces where users interact with autonomous agents.
This isn't "frontend team talks to backend team" engineering. This is owning features completely. You architect the database schema, build the APIs, create the real-time chat interface, and ship it to customers - all in the same week.
You'll build across:
Build orchestration systems for autonomous agents, but also the UIs where users configure agents, monitor their decisions, and intervene when needed. Create chat interfaces that stream AI responses in real-time. Design admin panels where users build custom agents without code.
The challenge: How do you build interfaces that make complex AI agent orchestration feel simple? How do you show real-time agent decision-making in a way users trust?