Business Development Director

THG
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Business Development Manager (Staffing Solutions)

Business Development Manager (Staffing Solutions)

Senior Data Analyst (Project Controls)

Analytics Engineering Manager

Technical Director

Director of Artificial Intelligence - Manufacturing & Industrial

About THG

We’re a fast-moving, global technology group that specialises in taking brands direct to consumers. We’re home to a portfolio of leading brands and sites including Myprotein, ESPA, LOOKFANTASTIC, and Cult Beauty, all of which are powered by our fully integrated digital commerce ecosystem, THG Ingenuity. 

We handle everything in-house, including technology, content creation, e-commerce, marketing, manufacturing, new product development, and logistics. This comprehensive approach ensures we can fully realise our vision and maintain our leadership in a rapidly evolving global industry.

Life at THG Ingenuity

THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. End-to-end, global, and scalable, our proprietary tech platform represents a single, unified solution, overcoming challenges and taking brands direct-to consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. 

Technology is the driving force behind THG built to empower both brands and customers alike, the Ingenuity ecosystem takes all the pieces needed for successful e-commerce propositions, and places them under one roof. Encompassing everything from hosting and data science to warehousing and fulfilment, we simplify the minefield of digital commerce, and enable brands to form direct and meaningful relationships with their consumers. 

About the role 

As a senior member of a rapidly growing sales team, the solution you’ll be selling is game changing in the Ecommerce space and is a globally unique D2C solution. With deals of £1m to £10m, you’ll be working with brands globally to understand how they want to take their products to a global audience.

What will I be doing? 

Consulting with brands on the D2C ambition and the challenges they are facing Understanding from your experience and training, how best to maximise the THG Ingenuity platform and solutions Utilise your network and ability to network, to identify and engage propsects Working closely with Sales Development to support you to grow a stable and opportune pipeline Building and maintaining strong, long-lasting customer relationships Develop and implement tactical plans to achieve sales targets and expand the propsect and future customer base Approach potential clients through cold calls, email, LinkedIn, existing relationships, promotional events Preparing business presentations and proposals for prospective clients Managing sales funnel processes and Zoho CRM Taking care of customer requests and managing contractual agreements through to onboarding with customer success Participation in product reviews and new product development and helping to evolve the price and proposition.

What skills do I need? 

Strong experience within new business sales Proven solution sales skills and experience with $5M+ sales 5+ years experience in solution sales Experience with Sales Process Methodology and using CRM systems Excellent listening, negotiation and presentation skills Experience using tools like LinkedIn, CRM and Docusign to maximise performance Proficiency in using PowerPoint, Word, Excel and similar presentation and office packages

ICON campus

Icon is where it all happens.

ICON is home to our head office and our world-class creative hub, offering the finest space for collaboration and innovation to thrive. 

Our campus-style office offers you everything you’ll need all in one place. Keep up with your health with our free on-site gym, GP and physio, and keep your energy up with food/drink served daily from our canteen and cafes. 

What do we offer you?

Compensation perks and benefits:

Enhanced Maternity/Paternity pay  Annual charity day allowance  Up to 50% discounts on wellbeing products from THG 25 days annual leave + day off for your birthday Free onsite gym  Free onsite GP and physio Tech saving scheme Free parking

You can find our more information about Life at THG in our EVP document here:

Equal opportunities/commitment to diversity and inclusion

THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. 

Please reach out to us if you require any accommodation during the application process without needing to disclose your disability or condition—simply specify your needs. If you're unsure about what accommodations to request, we can assist you in exploring the available options. 

THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.

THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community.

Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.