Sales Manager, Enterprise | French Speaking

SimilarWeb
London
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Data Analyst - Farming Operations

Data Analyst - Farming Operations

Data Analyst Placement Programme

Data Analyst

Data Analyst

Sales Manager, Enterprise | French or German Speaking

London, England, United Kingdom

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We’re looking for aSales Manager, Enterpriseto join ourEnterprise Salesteam in London Office. This role will report to theTeam Manager, Sales management.

Why is this role so important at Similarweb?

Similarweb’s digital intelligence solutions serve thousands of customers across many different industries and use cases around the world, and we haven’t even scraped the barrel of our total addressable market. As aSales Managerfor Enterprise Sales, you will control the entire sales cycle and develop critical relationships with our enterprise accounts. With customers who love the product, strong brand recognition, and a supportive team behind you, you’ll be set up for success to meet your sales quotas.

So, what will you be doing all day?

  1. Meeting quarterly sales quotas by generating revenue from both inbound leads and outbound prospects in your target vertical sector.
  2. Managing the entire sales cycle for your territory, from prospecting, discovery and presenting to negotiating and closing deals.
  3. Maintaining accurate forecasts and managing sales activities in Salesforce.
  4. Driving a sale forward by engaging the prospect at the director/C-level executive level.
  5. Partnering with Marketing, Sales Development, Solution Engineering, Contracting, and Implementation to spark outbound interest and navigate the sales process.
  6. Leveraging our robust sales tech stack to ensure accurate CRM reporting and increase overall productivity using tools such as Salesforce, SalesLoft, ZoomInfo, Gong, and, of course, Similarweb.
  7. Providing value-based solutions to prospects, by clearly understanding their pain points and our unique value proposition.

This is the perfect job for someone who:

  1. Fluency in French or German.
  2. Additional European languages advantageous.
  3. Has a minimum of 3 years of experience in managing consultative sales processes for enterprise accounts.
  4. Has a demonstrated history of exceeding sales targets for high-end SaaS sales.
  5. Has built an established network of relevant contacts in the Investor space.
  6. Can confidently present in front of important clients and stakeholders.
  7. Is highly collaborative, and uses a direct and honest approach to deliver customer success.
  8. Has a clear understanding of current digital marketing trends, including SEO, content marketing, PPC, social and display advertising.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with:Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits:We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose:Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword:People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.