Marketing Operations Director

DataCamp
remote, uk
9 months ago
Applications closed

Related Jobs

View all jobs

Director of Data Science

Quantitative Risk Senior Manager/ Manager

Product Director - Digital Health

Data Engineer

Senior Data Scientist

Senior Data Scientist

About DataCamp

At DataCamp, we believe in empowering individuals and teams through data literacy. As a leading platform for data science and analytics education, we offer engaging, interactive courses designed by top experts. Our mission is to make data skills accessible to everyone, helping learners and organizations thrive in the data-driven world. With a diverse community of millions of learners, we provide a supportive and dynamic environment where you can grow your career and make an impact. Join us and be part of our journey to democratize data education!

About the role

As the Marketing Operations Director at DataCamp, you will optimize and streamline our marketing processes and systems to enhance the effectiveness of our B2B and B2C marketing efforts. This senior-level, individual contributor role will focus on building a world-class marketing tech stack, integrating multiple data sources, and providing actionable insights to drive our marketing strategy. You will collaborate closely with cross-functional teams, including sales, product, and data science, to ensure alignment and efficiency in our marketing operations. 

Please note that this Director will not have direct reports to start, but will help build out the team as we grow. 

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities

Architect and implement a cohesive marketing technology stack that supports both our B2C and B2B GTM motions Oversee and optimize lead flow, management, segmentation, scoring, and funnel processes. Drive growth through the implementation of automated processes and streamlined operational workflows. Work closely with the Data Analytics & Engineering team to provide clear and agile views into marketing campaign performance, revenue, and pipeline generation. Develop and maintain comprehensive reporting systems to track key marketing metrics and KPIs. Continuously assess and rationalize the marketing tech stack, ensuring optimal performance and ROI Lead cross-functional projects to improve data quality, system integrations, and operational processes. Oversee and manage the day to day programmation of marketing campaigns and workflows. Enable and train marketing team members to perform their own campaigns using the marketing automation tool. Develop and maintain documentation and training materials for marketing tools and processes. Stay up-to-date with industry trends and best practices in marketing operations and technology.

Qualifications

5+ years of experience in marketing operations and analytics in a B2B PLG SaaS or marketplace (B2B + B2C) environment. Proficiency in Salesforce and marketing automation tools (e.g., Marketo, HubSpot). Experience working with data science teams to integrate multiple data sources for actionable insights. Knowledge of analytics tools such as Google Tag Manager, GA4, Heap, etc. Knowledge of reverse ETL and no-code automation tools. Track record of building world-class marketing tech stacks, systems, and processes enabling global marketing teams.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!