National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sales Manager

Greenbids
London
8 months ago
Applications closed

Related Jobs

View all jobs

Sales Manager

Sponsorship Sales Manager - Key Accounts

AI Sales Manager

AI Sales Manager

Sponsorship Sales Manager

Senior Sponsorship Sales Manager

Greenbids is seeking a driven Sales professional to join our expanding UK Sales team. As a Sales Manager for the UK market, you will manage a portfolio of key agency and advertiser partners for Greenbids.


Your primary mission will involve promoting and driving the sales of our solutions to both agencies and direct advertisers.


Key Responsibilities:

  • Establish and foster trusted relationships with prospective clients
  • Maintain a consistent presence with clients through meetings, presentations, and events
  • Identify and pursue new business opportunities
  • Offer strategic consulting and deliver high-quality service
  • Provide tailored media recommendations to meet client needs
  • Collaborate closely with internal teams (Adops, Tech, Product, AM) to ensure client satisfaction
  • Build and negotiate annual partnerships
  • Meet or exceed sales targets


Experience/Qualifications:

  • Minimum of 5 years of experience in account prospecting, client retention, and online media sales
  • Pre-existing Agency and Advertiser relationships within the UK market
  • Strong knowledge of the media/advertising landscape, with a keen interest in industry innovation
  • Familiarity with online media solutions is a plus
  • Excellent communication and interpersonal skills
  • Highly curious, proactive, team-oriented, and adaptable
  • Strong client service orientation and problem-solving skills


If you are ambitious, goal-oriented, and eager to thrive in a dynamic, passionate environment, we’d love to have you join our team!


About Greenbids


Greenbids' mission is to make the advertising sector more sustainable and responsible by reducing the carbon impact of campaigns while maximizing media quality performance for advertisers and revenue for premium low-carbon publishers.


Founded in 2022, Greenbids AI is the brainchild of Adrien Delambre, Guillaume Grimbert, and Jean-Baptiste Pettit, experts in digital marketing and machine learning engineering who previously worked at L'Oréal, Google, and Teads. They observed that while the automation of ad buying has been beneficial, it has also led to increased complexity and a surge in carbon emissions due to the multiplication of purchasing paths. Greenbids has revolutionized the digital advertising landscape with its innovative solutions that combine carbon optimization with media performance.



National AI Awards 2025

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 to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.