Senior Manager - Martech

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.
  
  

• 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.