Engineering Manager

Intelligent Sense / Akurey; Dubai Emirate; Hybrid; AED 350,000 - 550,000; Full time

Job summary

Intelligent Sense / Akurey in Dubai seeks an experienced engineering leader to unify a fragmented Landing Page Builder group into a single unit with a shared sprint cadence. The role drives Scrum discipline, manages a hybrid team through a legacy-to-AI-native transition, and balances concurrent workstreams while maintaining delivery velocity.

You will lead agentic engineering workflows, collaborate with the CTO and VP of Product, and ensure the engineering voice remains credible in roadmap

Qualifications

• 5–8 years of engineering experience with 3+ years managing teams of 8+ in a SaaS environment.
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Responsibilities

• Unify a currently fragmented Landing Page Builder group into one coherent unit with a shared sprint board and delivery cadence.
• Bring real Scrum discipline to delivery — story sizing, sprint commitments, burndowns, and retrospectives.
• Manage a hybrid team of in-house engineers and embedded vendor developers through a legacy-to-AI-native product transition, including clean vendor offboarding and knowledge transfer.
• Balance parallel workstreams — maintaining the existing Builder while shipping the AI Builder — without starving either.
• Lead the team's adoption of agentic engineering workflows and tooling.
• Partner with the CTO, VP of Product, peer Engineering Managers, and the Director of Data & AI/ML Engineering to keep engineering a credible voice in roadmap conversations.

Skills

Team management

SaaS leadership

Agile/scrum

Hiring/mentoring

Strategic thinking

Decision making

Tools

React

Tailwind

GraphQL

AWS

Postgres

DynamoDB

TypeScript

GrapesJS

Job description

• Unify a currently fragmented Landing Page Builder group into one coherent unit with a shared sprint board and delivery cadence.


• Bring real Scrum discipline to delivery — story sizing, sprint commitments, burndowns, and retrospectives.


• Manage a hybrid team of in-house engineers and embedded vendor developers through a legacy-to-AI-native product transition, including clean vendor offboarding and knowledge transfer.


• Balance parallel workstreams — maintaining the existing Builder while shipping the AI Builder — without starving either.


• Lead the team's adoption of agentic engineering workflows and tooling.


• Partner with the CTO, VP of Product, peer Engineering Managers, and the Director of Data & AI/ML Engineering to keep engineering a credible voice in roadmap conversations.

What You Will Be Doing

• Unify a currently fragmented Landing Page Builder group into one coherent unit with a shared sprint board and delivery cadence.


• Bring real Scrum discipline to delivery — story sizing, sprint commitments, burndowns, and retrospectives.


• Manage a hybrid team of in-house engineers and embedded vendor developers through a legacy-to-AI-native product transition, including clean vendor offboarding and knowledge transfer.


• Balance parallel workstreams — maintaining the existing Builder while shipping the AI Builder — without starving either.


• Lead the team's adoption of agentic engineering workflows and tooling.


• Partner with the CTO, VP of Product, peer Engineering Managers, and the Director of Data & AI/ML Engineering to keep engineering a credible voice in roadmap conversations.

What We're Looking For

• 5–8 years of engineering experience, with 3+ years managing teams of 8 or more in a SaaS environment.


• Proven experience leading a team through a legacy-to-modern product transition — parallel workstreams, deprecation planning, shipping new product alongside active maintenance.


• Demonstrated experience shipping AI-powered or agentic features that are actually in production (not just POCs).


• Experience managing hybrid teams of full‑time staff and embedded vendor or contractor developers, with accountability for standards, knowledge transfer, and clean offboarding.


• Solid technical depth — this is a hands‑on \"player coach\" role, with 30–40% of time spent on feature delivery, code review, and pairing with the team.


• Hands‑on experience with the stack: React, Tailwind, GraphQL, AWS, Postgres, DynamoDB, TypeScript.


• Modern engineering discipline: CI/CD maturity, code review culture, observable velocity and delivery predictability.


• Comfortable working alongside a CTO in a clear division of responsibilities — executing on direction, and pushing back credibly when needed.


• A genuine track record of developing senior engineers into technical leaders. Culture Fit: We are looking for someone who:


• Moves with urgency and doesn't wait for permission.


• Treats AI as a real capability multiplier rather than a buzzword.


• Measures success by how much they unblock and upskill others.


• Builds momentum without leaving people behind.


• Stays calm under uncertainty — the roadmap and team composition are still being shaped, and this candidate thrives in that environment.


• Is decisive on people and process without requiring consensus.

WHAT WOULD BE A PLUS?

• Hands‑on experience with the stack: Python, GrapesJS, MySQL, Ruby, Java, Clojure, OpenTofu, and Radix.