VP, Sales (EMEA)

Prodege
6 months ago
Applications closed

Related Jobs

View all jobs

VP of Data Science - GenAI (relocate to UAE, tax free)

Machine Learning Engineer

Machine Learning Engineer

Vice President Data Science

Analytics Engineering Manager

Data Science Analyst

TheVP, Sales (EMEA)is crucial for driving the company's revenue growth and market expansion in the competitive market research industry. This role is responsible for translating complex market research insights into actionable sales strategies, directly impacting the company's ability to innovate and stay ahead of industry trends. By leading the sales team and fostering key client relationships, the VP, Sales ensures the company not only meets its financial goals but also strengthens its position as a leader in the market research sector.

Prodege:

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in , Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

***This role is hybrid & does require to be in our London office 3 days a week in order to fulfill the needs of the role and support our team.***

Primary Objectives:

Revenue Generation and Growth Strategic Planning and Forecasting Portfolio Management Performance Analysis and Reporting Team Collaboration and Cross-Departmental Collaboration Team Development and Meetings

Qualifications -To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties:

Revenue Generation and Growth

Develop and implement sales strategies that leverage market research to capture new opportunities and expand client relationships. Engage with key clients to understand their needs and position the company's services effectively. Lead/Participate in key sales calls and meetings to close deals and advance sales processes. Work with existing sales to help strategize new business opportunities Work with Account Director (and team) to find expansion opportunities

Strategic Planning and Forecasting

Set and refine annual and monthly sales targets based on market analysis and industry trends. Utilize industry knowledge and market insights to identify new opportunities and plan resource allocation. Lead weekly sales strategy sessions to adapt to market dynamics and client feedback.

Client Portfolio Management

Maintain and enhance key client relationships, focusing on retention and satisfaction. Conduct monthly reviews of key accounts to identify opportunities for upselling and deeper engagement. Develop long-term client strategies, integrating advanced market research services.

Performance Analysis and Reporting

Apply market research insights to refine sales strategies and enhance pitches. Communicate market trends to the sales team to inform their activities. Review and report on sales performance, making adjustments to align with goals and market conditions. Prepare reports for the executive team, highlighting successes, challenges, and strategic changes.

Team Collaboration

Provide real-time coaching and solutions to the sales team during live sales situations. Collaborate with other departments, particularly market research, to align sales strategies with the latest insights.

Team Development and Meetings

Lead and mentor the sales and account management teams, ensuring they are equipped with the latest market research and sales techniques. Conduct sales training sessions on market trends and sales strategies. Hold weekly team sales meetings to review targets, achievements, and areas for improvement. Hold weekly 1:1 with Rep and Account Managers to review individual targets, achievements, and areas for improvement.

Additional Management Responsibilities:

Performance Management:setting and managing goals, on-going coaching, corrective action, annual reviews, rewards/recognition, and team/individual developmentEmployee Life Cycle Management:headcount forecasting, job descriptions, recruiting/hiring, terminationGovernance:ensuring compliance to company policy/practice (e.g. attendance, behavior, workplace attire), ensuring compliance to employment law (e.g. time keeping, anti-harassment and diversity)Leadership:ensures availability to staff, team building, building rapport with individuals, encouraging strong collaborative relationships between individuals and departments, facilitating a healthy work/life mix, solicits and applies feedback (internal and external to team), self-improvement as a leader/manager of peopleCulture Ambassador:proactively demonstrate and cultivate a culture of cooperative collaboration, strong work ethic, solutions-orientation, quality focus, results-orientation, relaxed/enjoyable atmosphere, team- and individual- celebration, and company/product pride

Success for aVP, Sales (EMEA) in the market research industry is demonstrated through consistently meeting or exceeding sales targets, maintaining high client retention rates, and receiving positive feedback. The VP, Sales will need to have both extensive player + coach experience. As a player, experience building and maintaining a book of business is critical. This experience will allow you to more successfully work with the sales team on sales strategy, prospecting, communication, pricing and feasibility questions. Within the coach capacity expectations, a successful VP, Sales will have experience managing a sales team of 5+ members. It also involves leading a sales team that achieves its goals and grows professionally, while effectively collaborating across departments to integrate market research insights into impactful sales strategies. Additionally, the role requires maintaining high operational efficiency, upholding regulatory compliance, and fostering a positive organizational culture.

The MUST Haves:

Eight or more (8+) years of proven experience in sales leadership, specifically within market research or a closely related industry. Proven success building and maintaining a book of business Expertise in managing international sales, with an understanding of global market trends and cultural nuances. Strong knowledge of market research methodologies and data analysis to drive sales strategies. Proven ability to lead and develop high-performing sales teams. Strategic planning and execution skills for achieving both short-term and long-term sales goals. Advanced sales techniques tailored to the market research industry. Exceptional client relationship management and negotiation skills. Strong networking abilities to build and maintain industry relationships and client portfolios. Effective communication and collaboration with stakeholders at all levels, including C-suite executives. Proficiency in delivering compelling presentations and pitches to diverse audiences. Competence in using statistical and analytical tools relevant to market research and sales. Commitment to continuous learning and staying updated with industry trends and sales techniques. Willingness to travel as needed to meet clients, attend industry events, and lead field sales teams.

The Nice to Haves:

Bachelor’s Degree in Business Administration, Marketing, Economics, Statistics, or a related field is preferred. Courses or certifications in data science, analytics, or digital marketing that complement the core market research skills. Active involvement in industry associations and regular participation in industry-specific conferences and workshops. Experience with digital marketing tools and platforms that can enhance online sales strategies. Familiarity with CRM systems like Salesforce or HubSpot, essential for tracking client interactions and sales progress.

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.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.