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- Tasks: Support enterprise clients with innovative, data-driven solutions using Google Cloud technologies.
- Company: Leading cloud consultancy with a focus on Google Cloud and AI.
- Benefits: Flexible working, private healthcare, training opportunities, and generous leave.
- Other info: Join a dynamic team with a commitment to ongoing learning and development.
- Why this job: Make a real impact by guiding organisations through AI exploration to actionable roadmaps.
- Qualifications: Experience in customer-facing technical roles and understanding of Google Cloud Platform.
The predicted salary is between 45000 - 55000 £ per year.
This is a hybrid role based in Leeds, with an expectation of office presence twice per week. Occasional travel to client sites may be required for workshops or key meetings.
A leading cloud consultancy specialising in Google Cloud technologies is seeking a Customer Success Engineer to support enterprise clients in delivering innovative, data-driven solutions.
Role Overview
This position sits at the intersection of business consulting and cloud technology. The successful candidate will play a key role in delivering structured AI-focused engagements while also supporting sales activities as a technical specialist.
You will guide organisations from early-stage AI exploration through to defined, outcome-driven roadmaps. This involves engaging with stakeholders, identifying operational challenges, and translating them into clear, prioritised initiatives with measurable business value.
Alongside this, you will collaborate with commercial teams during the pre-sales process, contributing to discovery discussions, solution positioning, and high-level demonstrations across the cloud platform offering.
You will work closely with internal strategy and delivery teams to ensure proposed solutions are both aligned to business goals and technically achievable.
Key Responsibilities
- Collaborate with sales teams to understand client environments, objectives, and technical challenges
- Design scalable, secure, and tailored solutions using Google Cloud technologies
- Facilitate workshops and stakeholder interviews to identify AI-driven opportunities
- Assess and quantify the potential value of proposed solutions, including ROI and efficiency improvements
- Develop structured roadmaps, highlighting quick wins and longer-term initiatives
- Partner with delivery teams to validate feasibility and ensure smooth handover into implementation
- Deliver engaging product demonstrations and articulate technical concepts clearly
- Align client needs with relevant cloud services (e.g., data, AI, infrastructure tools)
- Ensure solutions follow security standards and responsible AI practices
- Maintain awareness of alternative cloud platforms and position solutions effectively in competitive scenarios
Skills & Experience
- Solid understanding of Google Cloud Platform, including how data, infrastructure, and AI components integrate
- Relevant certifications are advantageous, such as:
- Google Cloud Digital Leader
- Google Cloud Generative AI certification
Candidate Profile
- Able to quickly build credibility with both technical and business stakeholders
- Strong communication skills, with the ability to simplify complex topics
- Analytical thinker with a proactive and solution-oriented mindset
- Comfortable working across both consulting and sales-focused activities
- Thrives in a fast-paced, evolving environment
- Demonstrates commitment to ongoing learning within cloud and AI
- Previous experience in a customer-facing technical role is required
Benefits
- Flexible working approach supporting work-life balance
- Structured development plan with funded training opportunities
- Regular team and wellbeing activities
- Hybrid working with in-office perks
- Private healthcare cover
- Access to fitness initiatives
- Generous annual leave allowance plus public holidays
Engineer, Risk Management in Leeds employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer, Risk Management in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your knowledge of Google Cloud technologies. Make sure you can explain how your skills align with the role and the company's goals.
✨Tip Number 3
Don’t just wait for job postings! Be proactive and reach out to companies you admire, even if they’re not hiring. Express your interest and share how you can add value to their team.
✨Tip Number 4
Apply through our website for the best chance at landing that Customer Success Engineer role. We love seeing candidates who are genuinely interested in joining our team and contributing to our mission!
We think you need these skills to ace Engineer, Risk Management in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Customer Success Engineer. Highlight your experience with Google Cloud technologies and any relevant certifications. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and cloud technology. Share specific examples of how you've tackled challenges in previous roles, especially in customer-facing situations.
Showcase Your Communication Skills: Since this role involves engaging with various stakeholders, it's crucial to demonstrate your communication prowess. Use clear and concise language in your application, and don’t shy away from simplifying complex topics to show us you can connect with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Fruition Group
✨Know Your Cloud Stuff
Make sure you brush up on your knowledge of Google Cloud technologies. Be ready to discuss how different components like data, infrastructure, and AI integrate. This will show that you’re not just familiar with the tech but can also apply it in real-world scenarios.
✨Showcase Your Communication Skills
Since this role involves engaging with both technical and business stakeholders, practice simplifying complex topics. Prepare examples of how you've successfully communicated technical concepts in the past, especially in customer-facing situations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of specific instances where you've identified operational challenges and translated them into actionable initiatives. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Proactive Mindset
This role thrives in a fast-paced environment, so be ready to discuss how you stay ahead of trends in cloud and AI. Share any ongoing learning experiences or certifications you’re pursuing, as this shows your commitment to growth and adaptability.