Growth Marketer

Wiser Elite
Reading
3 months ago
Applications closed

Related Jobs

View all jobs

Growth & Product Marketing Manager

Onboarding Engineer

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Company Overview:Join a pioneering company on a mission to reduce carbon emissions and slash electricity costs with cutting-edge machine learning tech in smart plug sockets. Their innovative solutions eliminate unnecessary power use, helping businesses hit net-zero targetsandsave money. With a 2-year ROI promise, they're making sustainability accessible and profitable.


Currently, in an A+ funding round after a successful Series A, this dynamic team of 31 is gearing up for massive growth, including US expansion and securing key EU safety certifications. They're looking for a passionateGrowth Marketerto fuel this exciting journey!


Role Overview:As the Growth Marketer, you'll lead outbound campaigns, manage the database, and optimise the website for lead generation. Collaborating closely with content managers, you'll ensure that press releases and articles hit the mark. You'll also reins on LinkedIn campaigns and marketing automation in HubSpot.


This role is perfect for someone with experience in small businesses and a love for sustainability, helping drive expansion into new markets like the US and Europe.


Key Responsibilities:

  • Execute outbound campaigns in sync with content managers.
  • Run LinkedIn ads and manage HubSpot for seamless marketing automation.
  • Boost website performance with SEO and Google Ads for lead gen.
  • Track key metrics like lead flow and campaign performance.
  • Support the US expansion and EU certification efforts.
  • Align marketing activities with the company’s mission to help businesses go green and hit net-zero goals.


What They’re Looking For:

  • 3+ years of marketing experience, ideally in early-stage B2B SaaS business.
  • Proven ownership of marketing initiatives and delivering results.
  • Passion for sustainability and long-term vision.
  • Ability to be in Reading 2x per month at a minimum (Flexible working).


Ready to make a big impact in a fast-growing, eco-focused company? Let's talk!

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.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

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.