Customer Success Leader

SymphonyAI
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Director of Product - City of London

Cisco Enterprise Agreement Specialist

Cisco Enterprise Agreement Specialist

Commercial Director

Distinguished Engineer - AI & Data Science

Introduction

JOIN US!We seek aCustomer Success Leaderto join ourSymphonyAI Retail team, based inEurope.

As a key member of the SymphonyAI Retail team, you will work closely with senior leadership, product teams, and customers across the EMEA region to drive successful adoption and satisfaction with our retail solutions. You will manage a team of Customer Success Managers and Client Partner Managers, ensuring alignment with sales targets and customer Net Promoter Scores (NPS). Your expertise and leadership will be crucial in ensuring our customers achieve their business goals through our AI-driven innovations.

Job Description

What you'll do

  • Leadthe Customer Success strategy for EMEA, ensuring a seamless and positive customer experience from onboarding through to long-term partnership.
  • Managea team of Customer Success Managers and Client Partner Managers, setting clear performance goals and fostering a high-performing culture.
  • Developand implement programs that foster customer engagement, retention, and satisfaction, aligning with business objectives and metrics, including sales targets and NPS scores.
  • Collaboratewith product and sales teams to identify opportunities for product enhancements and cross-sell initiatives, driving additional value for customers.
  • Analyzecustomer feedback and performance data to generate insights, addressing challenges and leveraging opportunities to enhance service delivery.


What you'll bring

  • Extensive Experiencein customer success or account management roles, with a focus on the retail sector and a track record of delivering successful outcomes across EMEA.
  • Proven Leadership Skillswith the ability to inspire and manage cross-functional teams, fostering a culture of excellence and customer-centricity.
  • Strong Strategic Insightinto retail industry trends and challenges, using this knowledge to inform customer success strategies.
  • Exceptional Communication and Relationship-Buildingabilities, with experience engaging with senior stakeholders and decision-makers.
  • Analytical and Problem-Solving Skillsto interpret data and feedback, crafting actionable strategies that enhance the customer journey.
  • Familiarity with Sales Targets and NPSas key performance metrics, with a successful history of driving improvements in these areas.


What We Offer

  • Competitive Salaryand benefits package designed to attract and retain top talent.
  • Flexible Hybrid Working Modelto support a healthy work-life balance.
  • Access to the Latest Technologiesand tools to enhance your work and skills.
  • A Chance to Make a Tangible Impacton cutting-edge AI solutions driving the future of retail.


#LI-EH1

#LI-Hybrid

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

Visit here, for more information about how we hire, what's in it for you, our culture and values.

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.

Jobs

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.