Customer Success Manager UK

AeroCloud
Stockport
2 months ago
Applications closed

Related Jobs

View all jobs

PPC Account Manager

Campaign Data Analyst (PEGA, Adobe or Unica)

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

Remote Travel Business Development / Sales Coach - World #1 Franchise

AeroCloud creates modular and scalable intelligent airport management software built on leading-edge technology. Our cloud-native platform uses predictive artificial intelligence and machine learning. Together with our common-use passenger processing and self-service solutions, we deliver an innovative answer to the complex operational challenges experienced by airports across the globe.

AeroCloud's Intelligent Airport Management System (iAMS) and Flight Management System reduce manual inputs and centralise data, making it available to all members of airport stakeholder groups. Inspection, Lease and Asset Management systems support on-site logistical planning. In addition, Common-Use Passenger Processing and Self-Service solutions and our Mobile Bag Drop app help airports efficiently manage the ups and downs in daily passenger numbers.

Our platform is 100% cloud-native, and users can access it anywhere, anytime, and on any device. We configure all modules within the Cloud and deliver remote updates quickly and easily; users can access AeroCloud's software via a web interface, removing the need to access a local network. Airports can depend on our cloud-hosted platform's security, fast processing speeds and scalability.

About You

We are looking for aCustomer Success Managerto report directly to the VP Customer Success. This role will have no direct reports and will be based out of the Head Office in Stockport near Manchester.

Summary Of Role

As a Customer Success Manager at AeroCloud, you'll be pivotal in ensuring our customers' success with our cutting-edge airport technology solutions. You'll act as the primary liaison between AeroCloud and our customers, providing expert guidance, support, and training to help them maximize the value of our products. Your responsibilities will include supporting the onboarding of new clients, understanding their unique needs, monitoring their progress, and proactively addressing any issues to ensure their satisfaction and retention. You'll collaborate closely with our sales, product, and support teams to deliver a seamless and exceptional customer experience, driving customer loyalty and long-term success.

Ownership and Impact

  • Become an expert on AeroCloud's suite of products and how they can be used to solve industry and customer problems.
  • Manage the full customer lifecycle including onboarding, adoption, expansion opportunities and renewals for a portfolio of customers across EMEA and North America.
  • Work closely with customers to define, monitor and report success metrics through success playbooks, business reviews and other initiatives.
  • Work proactively to increase product adoption and create growth opportunities through upsell, customer referrals and new case studies.
  • Work cross-functionally with implementation, commercial, support, product and marketing teams to create positive customer outcomes, acting as the single point of contact and voice of the customer internally at AeroCloud.
  • Utilise playbooks to improve customer health, increase retention and mitigate risk.
  • Work with the Customer Success Lead to constantly improve processes and resources including training, playbooks and customer-facing documents.

The duties and responsibilities of the role may vary and change depending on the AeroCloud business needs.

Our Ethos

AeroCloud recognises Diversity, Equality, and Inclusion at the heart of our business. They represent the mutual trust, respect and understanding we strive for. They are integral to our brand, reputation, success, business sustainability and employee relations impact. Our vision is to have a diverse, equal and inclusive organisational culture. We want everyone who comes into contact with us, both face to face and virtually, to feel valued and respected. We want our workplace both in the office and at home to foster belonging to all colleagues to feel seen, connected, supported and proud. We will draw on the rich diversity of our workforce and harness the diverse contributions and considerable talents of our staff to achieve our vision in line with our organisational values and DE&I principles.

AeroCloud is an equal opportunities employer so if you have any specific work or access requirements as a result of a condition or disability then AeroCloud would be committed to working with you on the best way to support this at work.

Requirements

What are we looking for?

  • 2 - 4 years experience working as Customer Success Manager, ideally at an early stage startup.
  • Driven and proactive by nature preferably with experience of managing enterprise and strategic level customers.
  • A growth mindset and driven by solving complex customer problems.
  • Experience of managing and constantly achieving commercial targets through expansion opportunities and renewals.
  • Experience of working with complex, multi-geographical customers.
  • Excellent communication and presentation skills, both verbally and written.
  • Committed to constantly improving the customer experience and communicating areas for improvement at AeroCloud.
  • A relationship builder with experience in building strong relationships with C-level executives and other key stakeholders.
  • Experience working cross-functionally with internal teams (commercial, product, support, marketing).
  • A willingness to travel internationally when required to meet with customers face to face.
  • The ability to speak a second language (French, Spanish, German or other European languages) would be desirable.

Benefits

What's in it for you?

  • Competitive salary.
  • Hybrid working environment.
  • 25 days annual leave + statutory holidays.
  • Take your birthday off work on us as well.
  • Access to our Employee Assistance Program.
  • Extensive upskilling and training.
  • Company pension scheme.
  • Access to employee perks and discounts.

#J-18808-Ljbffr

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.

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

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.