Technical CRM Automation Manager
London / £50000 - £60000 annum
INFO
£50000 - £60000
LOCATION
London
Permanent
Technical CRM Automation Manager | £60,000 + 5% bonus | Hybrid (London, 2 days/week)
We're hiring a Technical CRM Automation Manager to lead the execution of highly personalised, data-driven lifecycle campaigns for a fast-growing, mission-led membership business with over 4 million users.
This role sits within a dynamic CRM team and owns everything from journey setup to performance tracking in Braze. You'll be hands-on with campaign logic, segmentation, APIs, and Liquid - building scalable, multi-channel customer journeys that are personal, timely, and impactful.
What you'll be doing:
Build and optimise automated lifecycle campaigns in Braze across email, push, and in-app
Use custom events, Liquid logic, and segmentation to power dynamic, real-time personalisation
Manage Braze integrations with product and data systems; work closely with Tech/Product on API-triggered comms
Maintain a library of modular content blocks to help the wider CRM team build efficiently
Set up, track, and report on performance metrics like engagement, conversions, and A/B tests
Take ownership of test design, documentation, and insight-sharing across the lifecycle journey
What we're looking for:
Proven experience in CRM automation or lifecycle marketing
Deep hands-on experience with Braze, including Connected Content and Liquid
Strong technical skills across APIs, data feeds, and complex campaign logic
Confident working across channels (email, push, in-app) and troubleshooting integration issues
Detail-focused, curious, and proactive - someone who takes ownership and finds smart solutions
Join a high-impact, values-led team where your work drives meaningful engagement and supports key workers across the UK. If you're fluent in Braze and love building smart, personalised campaigns - we'd love to hear from you.
CONTACT
Valentine Chukwuonye
Recruitment Consultant
SIMILAR
JOB RESULTS
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Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
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Proven expertise in time series forecasting at multiple granularities
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To Apply for this Job Click Here
Job Title: Data Scientist – Time Series Forecasting
About the Role:
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Lead forecasting projects for monetizable traffic
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Audit and improve existing models
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Collaborate with stakeholders across journalism, commercial, and revenue teams
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Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM)
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Strong experience with large datasets (e.g., traffic, engagement metrics)
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Programming: Python (strong), SQL
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Cloud Platforms: GCP (BigQuery), AWS
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Collaboration Tools: JIRA, Slack, Notion
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Strong understanding of model evaluation (RMSE, MAPE, cross-validation)
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To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – LONDON
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Please register your interest by sending your CV to Harry Mincer via the apply link below.
To Apply for this Job Click Here
Technical CRM Automation Manager
Leicester
£50000 - £60000
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To Apply for this Job Click Here
Technical CRM Automation Manager
Location: Leicester (Hybrid – 2 days per week onsite)
Salary: £60,000 + 5% Bonus
The Company
A fast-scaling, private-equity backed consumer membership business is looking to strengthen its CRM capability with a technical lead. The platform provides exclusive benefits and discounts to a large, loyal user base and has expanded significantly across multiple verticals in recent years. Backed by ongoing investment in digital and CRM infrastructure, the company is focused on enhancing member engagement through personalised, data-driven marketing.
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Build and maintain multi-channel CRM journeys using Braze
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Manage segmentation, Liquid logic, event-based triggers, and Connected Content
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Oversee technical platform elements including API integrations and data feed maintenance
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Analyse campaign performance and execute A/B testing for ongoing optimisation
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Work closely with stakeholders to align CRM with broader growth and retention goals
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Essential:
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Proven experience in CRM automation or lifecycle marketing
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Advanced hands-on Braze expertise across email, push, and in-app
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Deep understanding of Liquid logic, modular templates, and journey logic
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Comfortable managing API connections and technical CRM integrations
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Analytical with a track record of improving performance through testing
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Familiarity with CDPs and broader marketing technology stack
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Experience in loyalty, membership, or subscription-based business models
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Understanding of trading performance and commercial marketing metrics
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Virtual interview (45 mins)
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In-person interview with CRM case study
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Optional final session before offer
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Send your CV to Daniel Abbasi via the Apply link on this page or reach out directly for more information.
To Apply for this Job Click Here
Machine Learning Engineer – Deep Learning
London
£550 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist – Forecasting, Deep Learning, Causal AI (Retail)
£600-700/day | 4 Months | Start ASAP | Inside IR35
RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.
What You’ll Be Doing:
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Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios
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Applying causal and graph-based methods to understand and optimise customer behaviour
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Working across the full stack of data science, from data wrangling to deployment
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Operating within a modern MLOps setup (Docker, CI/CD, AWS)
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Contributing to product-facing tooling (bonus if you’ve used JavaScript / Next.js / TypeScript)
What We’re Looking For:
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Strong practical knowledge of deep learning fundamentals – ideally with PyTorch
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Experience building bespoke models for time series, tabular, image, or text data
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Hands-on forecasting experience with retail or consumer datasets
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Skilled in causal inference, graph AI, or reinforcement learning
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Comfortable deploying models in production environments
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Strong communicator, able to clearly explain technical choices and trade-offs
Nice to Have:
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Exposure to JavaScript, TypeScript, or Next.js
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Prior work in a startup, agency, or consultancy environment
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To Apply for this Job Click Here
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