In-Life Marketing Lead

Pod Point, Ltd.
London
1 week ago
Applications closed

Related Jobs

View all jobs

Infrastructure Architect - Azure, AWS, GCP, Databricks

Infrastructue Engineer

Inventory Management Data Analyst

Informatics Specialist

Internal Auditor - Public Sector Services

Infrastructure Engineer

In-Life Marketing Lead

Department:

MarketingEmployment Type:

Full TimeLocation:

LondonReporting To:

Head of Growth MarketingCompensation:

£75,000 / year

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.Description Leading the way in electric vehicle charging, we've been at the forefront of adoption in the UK since 2009. With over 240,000 charge points installed so far, out of a total of 1 million in the UK, we make EV ownership simple and affordable.Partnering with top automotive brands like Mercedes, Jaguar Land Rover, BMW and Kia, as well as energy leaders such as EDF and Centrica, we’ve earned accolades such as the 'Which? - Trusted Trader' award and 'Best for Value, Home EV Chargers - What Car?'With our international expansion, we aim to transform the EV charging landscape not just in the UK, but now across Europe.Our Ways of WorkingWe’re all about flexibility, community and a healthy work-life balance. Our hybrid model offers a 'best of both worlds' approach combining the best parts of home and office working. When you'll be in the office depends on your role, but you can expect to work from our London office between 8-12 days per month.To support this, the successful applicant should be within a reasonably commutable distance to our office (Gray's Inn Road, London, WC1X 8HB).Join the EVolution:In this position, you’ll be working closely with internal teams and external partners to optimise campaigns, deliver measurable outcomes and foster customer loyalty. Your main responsibilities will include:Developing and executing in-life marketing strategies that increase subscription tenure, reduce churn and maximise LTV.Utilising customer data to create targeted, personalised campaigns that maximise engagement and retention.Delivering data driven performance reports with actionable insights, leveraging customer data to refine strategies and optimise outcomes.Designing programmes that turn customers into advocates through referral schemes, loyalty initiatives and success stories.Managing relationships with agencies, vendors and freelancers to ensure seamless execution of in-life marketing initiatives.Required Skills and Experience:To succeed in this role, you’ll ideally bring experience in customer retention, CRM or lifecycle marketing, ideally within a subscription based or SaaS business model.Plus, we'd like to see:Experience with CRM and marketing automation tools (HubSpot experience a plus) to manage and optimise customer journeys.Strong analytical skills with the ability to use data to monitor campaign performance, optimise strategies, and inform marketing decisions.Excellent communication skills, with the ability to craft compelling messages that speak to the needs of subscribers at different points in their journey.Collaborative mindset, with experience working closely with Product, Operations, and Sales teams to ensure a seamless customer experience.Knowledge of customer feedback systems (e.g., NPS surveys) and the ability to turn customer insights into actionable strategies for improving retention.Experience with loyalty programs, referral schemes, and advocacy strategies is a plus.At Pod Point, we believe in potential, so if you don’t meet every single requirement, we still encourage you to apply. We value a willingness to learn, adaptability, and a genuine commitment to ensuring driving doesn’t cost the earth.Perks that spark joy:Salary of £75,000Flexible hybrid working modelWork abroad for up to 20 days per yearSalary Sacrifice EV Scheme and free Pod PointFamily & friend discount scheme25 days holiday (plus Bank Holidays)Very generous parental and family leavePension scheme with a 4.5% matched contributionEyecare schemeLife insurance covering up to 4x your annual salaryVirtual GP provided by HealthHeroEmployee Assistance ProgramFree Mortgage AdviceDiscounted Gym MembershipsCycle2Work SchemeImportant Information:You must have the legal right to work in the UK. We celebrate diversity and encourage applications from all backgrounds. Your privacy is important to us, all information shared will be handled according to our Candidate Privacy Notice.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.