Senior Sales Manager, London

Ekimetrics
London
1 year ago
Applications closed

Related Jobs

View all jobs

frog -Managing Consultant - Data Science (Customer Data)

Senior Machine Learning Engineer (Outfits)

Head of Data Science

Data Science Consultant

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Senior Simulation Engineer (Data Science)

EkimetricsLondon – Senior Sales ManagerJob DescriptionAbout Ekimetrics Ekimetrics is a leader in data science. We help our clients solve business challenges with the help of a blend of advanced analytics, tech solutions and business consulting services. In our London office, we focus primarily on Marketing Analytics, including econometrics and customer analytics modelling. Our clients are leading brands with ambitious data insights and transformation goals. We mainly focus on long-term strategic clients’ relationships with an emphasis on account growth and client satisfaction.Our goal: Combine high-impact AI and data science solutions for sustainable business performance.Key figures about Ekimetrics• 400+ data science experts globally • 1000+ diverse projects for more than 350+ clients• 4 offices: Paris, Hong Kong, London and New York • UK data company of the year 2023• Voted Great Place to Work 2023 • Microsoft’s sustainability partner • Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023About the RoleWe are seeking an experienced and motivated Senior Sales Manager to join our team, who is responsible for prospecting, pitching, and representing Ekimetrics externally with clients, and industry partners. Your role is to make new connections, build trust and credibility and work with our subject matter experts to scope projects and close deals. You will work in coordination with our Head of Commercial and Consulting Partners.Job Responsibilities1.Lead Qualification & Client Engagement:-Engage in discussions with executive leaders to define and actualize GTM strategies, leveraging your sector and business expertise.-Maintain up-to-date knowledge of industry trends and Ekimetrics' offerings to align proposals with client needs.-Represent Ekimetrics at industry events and build a pipeline of new contacts2.Account Strategy:-Develop sales strategy for key target accounts across multiple contacts and touchpoints-Build trust and rapport with support from subject matter experts and thought leadership initiatives-Nurture relationships for out-of-market contacts3.Sales pitching:-Lead on proposal pitching with the support of consulting and technical profiles to close new business opportunities-Activate contacts to support the achievement of sales targets for new clients and existing client cross-selling opportunities4.Collaboration & CRM Management-Collaborate with local and global sales and marketing teams to share insights, coordinate strategies, and leverage best practices for growth.-Regularly update and maintain our CRM system, ensuring accurate tracking of leads, opportunities, and client interactions.About YouIdeally, you will have the following:Requirements:-5+ years of account management/sales experience with a proven track record of hitting targets-Bachelor’s degree in business, Marketing or related field-Excellent communication skills with C-suite stakeholders and managing key client relationships-Strong presentation and communication skills, able to convey complex information clearly-Strong knowledge in Microsoft Suite and CRM systems-Project management experience with international business exposure-Experience in consulting, data science, or marketing agency preferredDesired skills:-Experience with ABM strategy and platforms-Strong negotiation skills and a proactive mindset-Proven team leadership abilities-Deep understanding of the UK market landscapeWorking for EkiWorking for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~80 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it.As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:·Competitive Salary + Bonus Scheme ·Hybrid working (2 days a week in the office) ·Work remotely anywhere up to 20 days a year·25 days annual leave (+ Bank Holidays and additional days for tenure)·Private healthcare, life insurance, critical illness cover, and professional wellbeing support services·Group pension scheme·Cycle to Work Scheme·Eyecare, Dental care and other discounts through Vitality+·An emphasis on work-life-balance and a strong company culture·Unique training programs and learning opportunities.·Opportunities for international mobility·Regular training and off-site eventsOur recruitment process HR intro interview with a Talent Acquisition Specialist/Recruiter Interview with Head of Commercials Interview with a Senior Manager Final in-person interview with a PartnerAny questions please contact At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude. Our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.