National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Customer Lifecycle Marketing Manager - 12 Months Fixed Term Contract

Dext
London
4 months ago
Applications closed

Related Jobs

View all jobs

MLOps Engineering Manager FullTime London

Principal Data Engineer...

Machine Learning Engineer | Ml Engineer

Machine Learning Engineer FullTime London (London)

Machine Learning Engineer (London)

Machine Learning Developer / Engineer

We are Dext – the world’s leading accounting and bookkeeping automation software provider. Our products empower businesses with real-time visibility and control over spending, payments, and expenses, helping accountants and bookkeepers work more efficiently with complex financial data workflows. 

Trusted by over 1 million SMBs globally, our solutions utilise AI and machine learning to transform the accounting process, making it effortless and accurate.

Operating across Europe, North America, and APAC with an expanding SaaS portfolio, we are looking for a Customer Lifecycle Marketing Manager to join us for a12 month FTC

We are looking for an innovative, results-drivenCustomer Lifecycle Marketing Managerto own and optimise the customer journey across all lifecycle stages. You will work closely with Product Marketing, Product, Education, and Customer Success teams to develop and execute targeted, personalised marketing initiatives. Your work will be key to driving engagement, retention, and growth—enhancing customer lifetime value.

What you’ll do

Design and executelifecycle marketing initiatives, including onboarding, engagement, retention, and win-back campaigns.Develop tailored experiences and messagingfor each stage of the customer journey.Deliver impactful marketing contentthrough relevant communication channels.Collaborate cross-functionallyto align strategies and enhance customer engagement and satisfaction.

Key Accountabilities

Drive lifecycle progressionby implementing targeted campaigns that move customers seamlessly through their journey.Increase feature adoption and expansionby promoting key product features and encouraging additional user sign-ups.Improve communication engagementthrough optimised messaging across email, in-app notifications (Intercom), and other digital touchpoints.Personalise messagingusing data insights, customer research, and product value propositions to enhance relevance and impact.Measure successby tracking key metrics such as engagement rates, lifecycle progression, retention, and churn.

Requirements

About you – what we’re looking for

Essentials

Lifecycle marketing expertise– Experience managing and optimising customer communications across multiple lifecycle stages.Data-driven mindset– Ability to analyse customer data and use insights to refine strategies.Technical proficiency– Comfortable using marketing automation and analytics tools such asIntercom, HubSpot, and Salesforce.Strong communication skills– Excellent copywriting and messaging skills to engage customers effectively.Project management– Ability to manage multiple campaigns and initiatives from conception to execution.Stakeholder management– Skilled in leading cross-functional teams, aligning efforts, and reporting commercial outcomes to senior leadership.

Desirables

B2B SaaS experience– Understanding of high-volume B2B SaaS environments and their unique challenges.Customer-centric mindset– Ability to anticipate customer needs and adapt strategies accordingly.Strategic planning– Experience in long-term planning and aligning marketing efforts with broader business objectives.Innovative thinking– Creative problem-solving skills to enhance customer engagement and satisfaction.

This is an exciting opportunity to make a significant impact on customer experience, engagement, and growth. If you’re passionate about lifecycle marketing and thrive in a fast-paced, collaborative environment, we’d love to hear from you!

Benefits

What you’ll be part of - our values, culture, and behaviours

We are a fast-paced, ambitious FinTech organisation backed by Private Equity (HgCapital). Despite our scale, we maintain the agility of a start-up. Our values guide everything we do

Be Brave – Everyone has a voice and the opportunity to challenge the status quo. Be Exceptional – We strive for excellence in everything we do. Be Together – We succeed as a team, and individual success is inseparable from team success.

Our behaviours practically express our values, shaping how we live and work at Dext. They guide our actions, influencing how we communicate, collaborate, and support one another. These behaviours are: Be Diverse, be Courageous, be Considerate, be Transparent, be Focused, be Accountable, and above all, be Dexterous!

What we will give you - the perks

Competitive salary Flexible working arrangements 25 days off plus bank holidays, volunteering days, summer hours, and a day off the week of your birthday Employer-paid private medical insurance and health cash plan (Medicash) Cycle to work scheme Access to LinkedIn Learning and learning hours (three hours every two-week that you can block in your calendar to focus on learning and development) Payroll giving Mental health support through Help@Hand More info about our benefits and more
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.