Senior Commercial Executive - German

Marylebone High Street
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Architect

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

Senior Commercial Executive (German Speaker)

£29,000 - £40,000 DOE + Commission + Excellent Benefits

Award winning, international events company is looking to hire a highly driven fluent German speaker Senior Sales Executive.

The successful Senior Commercial Executive will be selling a mix of bespoke sponsorship packages as well as exhibition stands to a European client base.

There will be scope for international travel several times a year.

This role demands a highly articulate, sales driven individual who enjoys building relationships and has real hunger to close high value yielding sales.

Fluent German is a must for this role.

Senior Commercial Executive (German Speaker)

The Role:

  • Generating new business, increasing pipeline and bringing on new prospects

  • Sell high-value sponsorship and exhibition opportunities

  • Grow relationships with key accounts by planning and tailoring their marketing activities using a consultative approach with the intention of growing YOY spend

  • Pitch clients over the phone and through face-to-face meetings

  • Attend competitor events – travel a key part of the role

  • Act as a market specialist and make sure you have the knowledge to do so via internal and external resources

  • Consultative selling is a key part of this role, the right candidate should be able to sell creatively, through solution led selling

    Senior Commercial Executive (German Speaker)

    Profile of Candidate:

  • A background in b2b sales, ideally from event sales or media sales, IT sales, recruitment etc

  • Fluent in German - Key

  • Excellent communication skills

  • Successful track record achieving revenue targets

  • Someone with a consultative sales approach is a necessity here

    Lipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence.

    Our clients range from small start-up companies to FTSE 100 and 250 businesses. We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.