Account Manager

Tower of London
2 weeks ago
Create job alert

Our client launched in 2009 to connect and inform senior executives pursuing investment opportunities in telecoms, media and tech (TMT) globally. Since then, they have established the leading business intelligence and data service on mergers, acquisitions and new investments in TMT and a critically acclaimed series of annual events gathering industry, finance and advisory leaders in London, New York and Singapore.

They have built their reputation for getting news and information first by being the best-connected media business in our sector and are a highly entrepreneurial, high growth business, based near London Bridge, with ambitious plans for further growth worldwide.

We are seeking a talented and ambitious Account Manager to manage a portfolio of senior executive clients in investment banking, private equity and professional services globally.

This is a fantastic opportunity to join a high growth B2B publishing business in a red-hot sector and play a major role in its next stage of growth.

Responsibilities:

  • Responsible for client retention and growth within a portfolio of 60-70 accounts

  • Deliver excellent account management support to ensure customer satisfaction and renewal

  • Successfully uncover upsell opportunities within existing client relationships

  • Develop a strategic approach to account planning to identify growth opportunities

  • Manage a sales pipeline and forecast accurately

  • Target-driven, proactive and consultative you must be able to utilise an account management renewal sales process to match customer journey with our product and demonstrate significant competitive advantage in mergers and acquisitions

    You will have the following key attributes:

  • Minimum of 3 years’ experience managing a portfolio of b2b subscriptions to senior executives

  • Proven track record of delivering retention and account growth ideally within information TMT and/or finance sectors

  • Generating and maintaining a healthy pipeline of account growth opportunities achieving monthly, quarterly and annual targets

  • Highly motivated, self-directed, and results-driven with a proven ability to work independently and a committed focus on individual activity levels.

  • Ability to work with cross-functional teams to utilise internal network provide feedback from clients and ensure client satisfaction

  • Ambitious with desire to be a driving force in the sales team and company as a whole

  • Proven ability to communicate with Senior Executives and to work and thrive in a young media business

  • Looks to learn from others and works well independently and within a team

  • Demonstrated ability to meet deadlines and have excellent attention to detail

  • The candidate will have excellent organisational, presentation and communication skills, and enjoy working as part of a dynamic team.

  • Maintains and updates CRM systems (Salesforce) with opportunities and leads, forecasting sales performance accurately and conducting weekly pipeline reviews with sales leadership.

    What's on Offer?

  • An outstanding opportunity to be a key driving force in a fast-growing business

  • Selling a market leading global intelligence service in a high growth sector

  • Excellent salary, commission, and future growth options

  • Opportunity to travel internationally

  • Working in a tight knit team and fun environment

    Benefits:

  • Hybrid working – 3 days in office, 2 remote

  • 25 days holidays, plus your Birthday as an additional day’s leave

  • Exciting training opportunities

  • Competitive pension scheme

  • Employee perks platform

  • Spacious central London office with breakout spaces, office library and in-office games (pool, darts and table tennis)

  • Volunteering opportunities with one day paid volunteering leave per year

Related Jobs

View all jobs

Internal Account Manager

National Account Manager

Exhibition Sales Account Manager

Senior Account Manager - Portables

Senior Key Account Manager - Subscriptions

Mandarin speaking Account Manager

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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.