Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Strategic Customer Success Manager

Dataiku
London
4 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager - Applied ML (UK/EU)

Data Scientist - Borrow Analytics Manager

Senior Product Manager - Machine Learning and AI

Senior Product Manager - Machine Learning and AI

Manager, Marketing Mix Modelling (MMM) & Data Science - 12 Month FTC

Machine Learning 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.

The Customer Success team at Dataiku is focused on accelerating adoption and business outcomes by guiding customers on their fastest path to value with Dataiku. By leveraging deeply consultative skills and strong product knowledge, Customer Success Managers align with customers throughout their journey to understand their desired business outcomes, empower them to maximize the value of their existing use cases, and optimize for growth into new use cases across their business - ultimately working to ensure continuously improving value and return on their Dataiku investment.

Customer Success Managers play an integral role in our business. They also serve as the ultimate liaisons between customers and internal teams, including Sales, Services, Product Management, and Marketing, among others. In so doing, CSMs ensure streamlined value delivery based on desired customer outcomes and use case metrics, with a focus on mutual success and growth.

Key Areas of Responsibility (What You'll Do)

  • Work with customers across our EMEA - Northern Europe region, including the UK and Nordics
  • Own a portfolio of assigned strategic accounts that may vary in market size, industry, and complexity, with a focus on ensuring successful onboarding onto Dataiku, increasing adoption, ensuring retention, growth, and overall customer satisfaction
  • Align closely with key customer stakeholders to ensure that the vision, implementation plan, and desired business outcomes established pre-sales are supported by clear objectives, action items, owners, and sponsors
  • Have a strong command of Dataiku's unique value proposition, the business value our key solutions drive, our approach to operationalizing Everyday AI, and common use cases and best practices. Be able to effectively leverage the above to guide customers on their journey with Dataiku
  • Keen ability to develop a deep understanding of a customer's business, use cases, and outcomes to guide them to achieve these via Dataiku's product and services
  • Continuously advise customers on how to leverage Dataiku to implement data science projects from design to production
  • Monitor customers' achievement of desired outcomes and value, consistently and effectively telling the story of these both to internal stakeholders and externally to key customer stakeholders
  • Establish regular touchpoints with assigned customers per established best practices, to review progress against strategic business and technical product objectives
  • Leverage Customer Adoption & Health analytics to identify potential risks or opportunities for expansion, with a focus on translating this data into actionable advice
  • Effectively prioritize and orchestrate the resolution of customer requests or issues
  • Develop trusted and collaborative relationships with internal stakeholders and business partners, including Sales, Sales Engineering, Services, Support, Partnerships, Product, and Marketing, among others
  • Champion customers internally to mitigate risk, improve customer experience, drive value outcomes, and unlock growth
  • Stay current on Dataiku's products, competitive landscape, & data science trends
  • Embrace and contribute to Customer Success team methodologies


Experience (What We're Looking For)

  • Minimum seven (7) years of professional experience in customer success, technical account management, or client relationship management roles with a demonstrated history of increasing adoption, retention, and customer satisfaction
  • Experience managing a fast-growing book of accounts, with account sizes ranging from ~$500k to multi-million ARR across the Forbes Global 2000 and beyond
  • Experience with KPIs such as Gross Dollar Retention, Net Dollar Retention, Renewal Rate, Logo Retention Rate, NPS, and CSAT
  • Experience working collaboratively across Professional Services and Partner motions
  • Track record of successfully navigating ambiguity, building consensus, fostering accountability, and working with urgency to deliver customer outcomes
  • Strong written and oral presentation skills, with the ability to effectively engage both business and technical stakeholders (from Analyst to C-level)
  • Confidence in serving multiple customer stakeholders and working to build communities of champions/advocates across large organizations
  • An understanding of core data science concepts and the ability to translate business use cases into data science solutions
  • Project management and storytelling skills
  • Strong technical, analytic, and problem-solving skills


You may be a good fit for this role if you:

  • Have a never-ending intellectual curiosity, are detailed oriented, and analytical
  • Have experience in hyper-growth, product-based technology companies
  • Are passionate about technology, the data and analytics space, and enjoy learning new solutions, features/functionalities and translating these into solutions that drive business value for customers
  • Understand the importance of being a self-motivated team player
  • Show an appreciation for nuance and a desire to build consensus in a diverse and multicultural environment


#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 Dataiku LinkedIn page.

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 activity

Dataiku 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 here.

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.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.