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

Nominate & Attend

Regional VP of Sales - UK

Dataiku
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Engineer

Senior Data Analyst

Senior Data Analyst

HR Data Analyst

SAS Data Engineer

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 an RVP Sales to join our growing team in London! As a Regional Sales VP, you’ll lead a dynamic sales team that is responsible for driving top line revenue for the region, acquiring new logos, and ensuring that our existing clients love our product and increase their use overtime.

You’ll build, coach, lead, and enable a high-performing team of sales professionals. You’ll also collaborate with cross functional partners, including leaders in pre-sales, marketing, product management, customer success, and data science.

How you'll make an impact: 

Drive the top-line revenue across the Enterprise territory by acquiring new logos. Drive upsells by fostering the adoption and use for existing clients. Lead, coach, develop, and enable a customer-facing team of 5-7 Account Executives Partner with the Vice President to define Go-To-Market strategy for an Enterprise territory.  Project vertical growth, territories, and partners. Drive alignment between sales and marketing efforts. Build collaboration with a cross-functional team of Sales Engineers, Partner Managers, Customer Success Managers, and Sales Development Representatives. Partner with Talent Acquisition to attract, recruit, build and develop a team of top performing sales professionals. Develop senior relationships with key targets and top accounts across diverse personas, influencers, and strategic partners.  Forecast revenue accurately.  Maintain a high degree of transparency in pipeline management, pricing negotiations, territories allocations.

What you'll need to be successful:

8-10 years’ experience in software field sales, or other relevant sales experience At least 5 years’ experience of people management Background in selling innovation and new concepts to large enterprises Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions Good articulation of competitive positioning Domain expertise in big data, analytics, data science, BI/DW, data integration preferred Possesses advanced interpersonal communication skills 

#LI-Hybrid

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:

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.