At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
We are looking for a Business Development Representative to join our growing team in the UK, covering the central European market. As a Business Development Representative you are responsible for driving Dataiku's business development activities. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimise the process to drive performance.
How you'll make an impact:
Manage a large volume of daily inbound and outbound leads - connecting via phone, email and LinkedIn and qualifying them Engage with our Sales and Marketing executives to design, research and execute outbound vertical and/or geographical markets campaigns to grow sales pipeline in a dedicated territory Work with our Sales Executives to prospect and close large enterprise deals Educate and nurture early-phase prospects for potential future opportunities Demonstrate knowledge of Dataiku DSS and its value proposition and an understanding of the Big Data ecosystem to converse with data and business leaders from SMB to high-growth companies, to large multinationals in industries such as e-commerce, retail, bank, insurance, utilities, and transport Analyse and report on your weekly activities to identify potential optimisations
What you'll need to be successful:
Strong interpersonal skills and excellent verbal and written communication. You have relevant experience and proven success in sales or business development in the software / tech industry or in a startup. Able to demonstrate organisational and project management skills with the ability to handle pressure and a high volume of tasks in a result-oriented environment. Highly analytical and understand the need to track everything you do. Interested in innovative issues as Data Science and Predictive Analysis. German language skills are required for this role.
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What are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:Protect yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity
