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- Tasks: Diagnose customer challenges and design innovative solutions in AI-driven environments.
- Company: Fast-growing AI company working with global consumer brands.
- Benefits: Remote work, competitive salary, and the chance to shape industry solutions.
- Why this job: Be at the forefront of solving new problems in AI visibility and brand narrative.
- Qualifications: 3-7 years experience in solutions consulting or product roles with customer interaction.
- Other info: Opportunity to build playbooks and deliver real value in a dynamic environment.
The predicted salary is between 60000 - 80000 £ per year.
This is a solutions consulting role at its core, but in a space where the problems aren’t yet well defined, the playbooks don’t exist, and the answers aren’t obvious.
A fast-growing AI company is working with global consumer brands who are all facing the same emerging issue: They are losing control of how they show up in AI-driven environments. Their products aren’t being recommended. Competitors are being surfaced instead. Their brand narrative is being shaped by third-party platforms. No one really knows how to fix it yet. This is where you come in.
You will work directly with enterprise customers to understand what is actually happening beneath the surface, and translate that into clear, structured problems the product can solve.
At a high level, your role breaks down into three things:
- Diagnose complex, messy customer challenges across AI visibility, content, and channel performance
- Design solutions that connect those problems to real product capability
- Deliver measurable outcomes, not just insight
You are not there to manage accounts. You are there to solve problems that don’t yet have a name. You will sit in a genuinely central position between Customers, Product, and Commercial. That means shaping:
- What gets built
- How it is deployed
- How value is proven
The people who do well in this role tend to have come from:
- Solutions consulting or sales engineering
- Product roles with heavy customer interaction
- Strategy or technology consulting
- Early-stage environments where scope is broad and undefined
Typically 3–7 years experience, but more important is how you think. What matters here is your ability to:
- Take ambiguity and turn it into something structured and usable
- Move comfortably between technical and commercial conversations
- Understand how product decisions connect to real revenue impact
- Operate with a high degree of ownership
This is not a role where you inherit a process. You will help build the playbook for how brands compete in AI-driven search, and how that value is actually delivered. If you are looking for something clearly defined, this will feel uncomfortable. If you are looking to operate at the intersection of product, customer, and commercial, and solve genuinely new problems, it is a very rare opportunity.
Customer Solutions Lead in Edinburgh employer: Zazu Digital Talent
Contact Detail:
Zazu Digital Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Solutions Lead in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s products and challenges. Understand their AI-driven environment and think about how you can help solve their unique problems. This will show them you’re not just another candidate.
✨Tip Number 3
Practice your problem-solving skills! Since this role is all about diagnosing complex issues, try to come up with solutions for hypothetical scenarios related to AI visibility and brand narratives. It’ll help you think on your feet during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm right from the start.
We think you need these skills to ace Customer Solutions Lead in Edinburgh
Some tips for your application 🫡
Show Your Problem-Solving Skills: In your application, make sure to highlight your ability to tackle complex challenges. We want to see how you’ve turned ambiguity into structured solutions in your past roles. Share specific examples that demonstrate your problem-solving prowess!
Connect the Dots: When writing your application, draw clear connections between your experience and the role's requirements. We’re looking for candidates who can seamlessly move between technical and commercial conversations, so show us how you've done this before!
Be Authentic: We value genuine voices! Don’t be afraid to let your personality shine through in your application. Share your passion for AI and customer solutions, and let us know why you’re excited about this unique opportunity.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Zazu Digital Talent
✨Understand the Ambiguity
Before your interview, take some time to think about how you can turn ambiguity into structured solutions. Familiarise yourself with common challenges in AI-driven environments and be ready to discuss how you would approach diagnosing these issues.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you've tackled undefined problems. Highlight your thought process and how you arrived at a solution, especially in roles that required a blend of technical and commercial understanding.
✨Connect Product Decisions to Revenue
Be ready to discuss how product decisions impact revenue. Think of specific instances where your input led to measurable outcomes. This will demonstrate your ability to operate at the intersection of product, customer, and commercial.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in shaping the future of the role. Inquire about the current challenges they face with AI visibility and how they envision the Customer Solutions Lead contributing to their strategy.