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CEO Office - AI Accelerator - Lead Builder

noon, UAE3 weeks agoMid-Senior
Mid-Seniorfulltime

Skills

GitScala

About This Role

CEO & Group Leadership

  • About noon
  • We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric.
  • Our mission is to deliver to every door every day.
  • We want to redefine what technology can do in this region, and we’re looking for an AI Accelerator- Lead Builder who can help us move even faster.
  • noon’s mission: Every door, every day.
  • Not “just an engineer”
  • This role sits at the intersection of applied research, product invention, and AI-powered software craftsmanship.
  • We’re building an AI Office inside noon - a highly leveraged group that lives above squads and product lines, spotting opportunities others miss and solving them with working software.
  • You won’t be assigned tickets.
  • You’ll define, build, and ship.
  • Your vantage point
  • Full visibility across noon’s organization
  • Briefed directly by the CEO and leadership team
  • Not embedded in a traditional hierarchy
  • Direction & accountability driven by impact, not process
  • This is a Staff-level product builder + internal founder + applied AI researcher role — a rare blend of curiosity, speed, and execution.
  • What you build (three pillars)
  • 1️.
  • Group leverage & acceleration
  • You build tools, workflows, and systems that meaningfully compress time, reduce friction, and increase velocity across teams.
  • This is about leverage over load - software that amplifies thousands of human hours into hundreds.
  • 2️.
  • Rapid capability injection into missions
  • You identify high-value features or enhancements teams can’t prioritize - and you ship them within days.
  • Not slow quarters.
  • Not remote roadmaps.
  • But fast, targeted additions that unlock disproportionate value.
  • 3️.
  • Prototypes for things that don’t yet exist
  • You will build working prototypes for future businesses, products, and ideas before they have names or teams.
  • No slides.
  • No long discovery cycles.
  • Just shipping real software to uncover real signals.
  • You act as a product accelerator, quarterbacking ideas end-to-end.
  • How we work
  • Bias toward rapid iteration
  • Nothing should take more than one week to production
  • Early momentum beats polish
  • Working software is the primary deliverable
  • Build → ship → learn → repeat
  • At noon, speed, clarity, and momentum matter more than perfection in early stages.
  • Tech stack - where you’ll operate
  • We build on Google Cloud Platform (GCP) with a Python-first philosophy.
  • Core technologies you’ll use
  • Python (backend, data, AI tooling)
  • GCP services: Cloud Functions, BigQuery, Cloud Run, Pub/Sub, Vertex AI
  • Modern frontend frameworks (React / Next.js) as needed
  • CI/CD pipelines (Cloud Build / GitHub Actions)
  • AI stacks (OpenAI, Vertex AI models) integrated deeply
  • Success here means mastering full-stack product outcomes with a Python + GCP core.
  • Who this role is for
  • You might call yourself a builder, a creator, a hacker, or even a researcher - but titles aren’t what matter.
  • This role is for someone who:
  • Thinks in systems, leverage, and emergent patterns
  • Sees opportunities others miss
  • Has shipped side projects that taught them something real
  • Loves fast, iterative software cycles
  • Is comfortable with ambiguity and shaping problems, not just solving them
  • Can own outcomes, not tasks
  • Ship something that speaks
  • One way we evaluate fit for this role is through your side projects or personal builds.
  • We want to see things you’ve shipped that reflect curiosity, speed, impact, playfulness, and technical depth.
  • Share your side gigs.
  • Show us what you built.
  • Let your code do the talking.
  • Your toolkit

Engineering

  • Python backend & APIs
  • Full-stack development when needed
  • GCP deployment & observability
  • Data pipelines & real-time workflows

Product

  • Rapid UX experimentation
  • Hypothesis → prototype → learn cycles
  • Minimal, delightful interfaces

AI-native

  • Vertex AI / LLM integrations
  • Embeddings, agents, workflows
  • AI-assisted development, testing, and delivery
  • You treat AI as a force multiplier, not a buzzword.
  • What makes this role rare
  • CEO & leadership sponsorship
  • No bureaucracy - you ship, not queue
  • Organization-wide impact
  • Turn intent into production in days
  • Founding influence on how noon builds software
  • What success looks like
  • Tools that materially accelerate execution across teams
  • Live prototypes driving new strategic directions
  • Frequent weekly shipping with measurable impact
  • A track record of transforming ideas into working systems
  • A reputation as the person who just builds it

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