Senior Manager - Martech

Astra Technologies; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

Astra Technologies in Dubai seeks a Senior Martech Manager to own and evolve the marketing technology stack, driving growth through advanced analytics, segmentation and automated campaigns.

You will lead instrumented data, predictive models, and AI-assisted tooling to empower growth and marketing teams at scale, with direct impact on acquisition, activation and retention strategies.

Qualifications

• 7-10+ years in marketing technology or growth engineering.
• Hands-on ownership of a major CRM/engagement platform: journeys, segmentation, APIs and deliverability.
• Proficient with mobile attribution and MMPs, including instrumentation and attribution logic.
• Working knowledge of CDP and identity resolution.
• Strong SQL and Python, with proven predictive modeling experience.
• Demonstrable fluency in using AI coding and agent tooling to build working software.

Responsibilities

• Own the health, configuration and roadmap of the growth marketing stack: CRM and engagement (MoEngage), attribution and MMPs (Adjust, AppsFlyer), analytics integration (Amplitude).
• Own event and signal instrumentation for growth, ensuring measurement integrity across channels.
• Build and validate the predictive layer behind growth decisions: propensity to transact, churn and next best offer.
• Turn intelligence into live scores and segments for channels and surfaces used by the business.
• Develop internal growth products and automations, including scoring pipelines and campaign tooling with AI-assisted development.
• Translate segments into live lifecycle journeys and cross-service orchestration.
• Evaluate new martech and AI tooling through build-vs-buy proofs of concept and costed recommendations.
• Raise AI capability of the wider growth and marketing team.

Skills

SQL

Python

AI tooling

Growth analytics

Segmentation

Commercial judgement

Tools

MoEngage

Braze

CleverTap

Iterable

Adjust

AppsFlyer

Amplitude

Job description

Job Description:

Role Summary

The Senior Manager of Martech owns that capability. You will run the marketing technology stack that reaches our users, enhance the intelligence layer that decides who should hear what and when, and help create the internal growth products and automations that let the growth and marketing teams operate well beyond what our current tooling allows. This is a senior, hands on role with direct ownership of the growth outcome.

Responsibilities

• Own the health, configuration and roadmap of the growth marketing stack: CRM and engagement (MoEngage), attribution and MMPs (Adjust, AppsFlyer), analytics integration (Amplitude) and adjacent tooling.
• Own event and signal instrumentation for growth, and safeguard measurement integrity across paid, owned and organic channels.
• Build and validate the predictive layer behind growth decisions: propensity to transact, next best product and next best offer, churn and reactivation, and offer optimisation.
• Turn that intelligence into scores and segments that are live and usable in the channels and surfaces the business runs.
• Build internal growth products and automations that reduce manual effort and extend team capability, including scoring pipelines, operational agents, reporting surfaces and campaign tooling, using AI assisted development to deliver without dependency on engineering capacity.
• Translate segments and signals into live lifecycle journeys and cross service orchestration, owning the horizontal layer that no single vertical team owns.
• Evaluate new martech and AI tooling through a structured process covering build versus buy assessment, time boxed proofs of concept and costed recommendations.
• Raise the practical AI capability of the wider growth and marketing team.

Requirements

• 7-10+ years in marketing technology, growth engineering or data science applied to marketing, within consumer scale businesses such as app first, fintech or e-commerce.
• Hands on, configuration level ownership of a major CRM and engagement platform (MoEngage, Braze, CleverTap, Iterable or equivalent), covering journeys, segmentation, APIs and deliverability.
• Practical command of mobile attribution and MMPs, including instrumentation, SDK behaviour, deep linking and attribution logic.
• Working knowledge of CDP and customer data architecture, identity resolution and event schema design.
• Strong SQL and Python, with a demonstrated record of independently building, validating and deploying predictive models in a commercial setting.
• Demonstrable fluency in using AI coding and agent tooling to build working software. Candidates should be able to evidence internal tools they have delivered this way.
• Strong commercial judgement, with the ability to identify and priorities the growth problems worth solving and to build the case for them.