At a Glance
- Tasks: Support the delivery of our AI platform and ensure customer success.
- Company: Gradient Labs, a pioneering tech startup in AI for financial services.
- Benefits: Join a passionate team and work with cutting-edge technology.
- Other info: Dynamic environment with opportunities to tackle challenging problems.
- Why this job: Be at the forefront of AI transformation in customer operations.
- Qualifications: Early-career experience in project coordination or customer-facing roles.
The predicted salary is between 30000 - 40000 £ per year.
At Gradient Labs, we’re building an AI agent to redefine customer experience and operational efficiency in the financial services sector. Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our powerful AI agent is unique: it’s the only AI operations agent built specifically for financial services, handling even the trickiest, high-stakes customer queries safely and effectively. Crucially, it serves as one unified agent across the entirety of your customer operations, giving businesses the comprehensive visibility and control they need to trust all outcomes. We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations and experience, we’d love to hear from you.
How you’ll make an impact
- As an AI Delivery Associate, you'll support the end-to-end delivery of our AI platform into customer environments.
- Working closely with our AI Delivery Lead and internal teams, you'll help ensure customers get up and running quickly and continue to see measurable value over time.
- Support project delivery across onboarding and implementation, keeping timelines on track and flagging risks early.
- Assist with discovery work to capture customer requirements, workflows, and operational context needed for a successful deployment.
- Help configure and optimise our AI agent for specific customer use cases, working from established playbooks and guidelines.
- Monitor performance data to identify trends, flag issues, and surface improvement opportunities for review with the Delivery Lead.
- Coordinate activity across internal teams (AI, Engineering, Customer Success) to keep projects moving and stakeholders informed.
- Maintain accurate project documentation, including status updates, action logs, and handover notes.
- Contribute to building and improving internal delivery processes, templates, and onboarding materials.
- Support compliance and governance tasks related to AI deployment, such as collecting information for security reviews and due diligence requests.
What you’ll bring
- Early-career delivery experience: Some experience in a project coordination, implementation, or customer-facing operations role, ideally at a tech company.
- Organised and dependable: You keep track of moving parts, follow through on actions, and communicate proactively when things shift.
- Comfortable with ambiguity: You can work without a fully defined playbook and use good judgement to move things forward.
- Technically curious: You don't need to be an engineer, but you're comfortable learning how APIs and integrations work and can hold a sensible conversation with technical teams.
- Data-literate: Happy working with dashboards and spreadsheets to track performance and spot patterns.
- Clear communicator: You write and speak clearly, and can tailor your communication to different audiences.
- Customer-aware: You understand that how we show up with customers matters and you take that seriously.
Why join Gradient Labs?
This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation. You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking.
AI Delivery Associate employer: Gradient Labs
At Gradient Labs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As part of our small but mighty team, you'll have the opportunity to work with cutting-edge AI technology in the financial services sector, while benefiting from a supportive environment that encourages personal and professional growth. Join us to tackle meaningful challenges alongside passionate colleagues, all while contributing to a transformative mission that will shape the future of customer operations.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Gradient Labs or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to project delivery and customer operations. We recommend using the STAR method to structure your answers – it helps you showcase your experience clearly and effectively.
✨Tip Number 3
Show off your tech curiosity! Brush up on how AI and APIs work, even if you're not an engineer. Being able to hold a sensible conversation with technical teams will definitely set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at Gradient Labs.
We think you need these skills to ace AI Delivery Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Delivery Associate role. Highlight your relevant experience in project coordination and customer-facing operations, and show us how you can bring value to our team at Gradient Labs.
Show Your Organisational Skills:We love candidates who are organised and dependable! In your application, give examples of how you've kept track of multiple tasks or projects in the past. This will help us see that you can handle the moving parts of our AI delivery process.
Communicate Clearly:Your written communication skills are key for this role. Make sure your application is clear and concise, and don’t hesitate to showcase your ability to tailor your message for different audiences. We want to see how you can connect with both technical teams and customers!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Gradient Labs!
How to prepare for a job interview at Gradient Labs
✨Know Your AI Basics
Brush up on your understanding of AI and its applications, especially in the financial services sector. Be ready to discuss how AI can enhance customer experience and operational efficiency, as this will show your enthusiasm for the role and the company’s mission.
✨Showcase Your Organisational Skills
Prepare examples from your past experiences that highlight your ability to manage multiple tasks and keep projects on track. Discuss how you’ve successfully coordinated activities or managed timelines in previous roles, as this aligns perfectly with what they’re looking for.
✨Be Ready for Technical Conversations
While you don’t need to be an engineer, having a basic understanding of APIs and integrations will help you communicate effectively with technical teams. Familiarise yourself with common terms and concepts so you can engage confidently during discussions.
✨Demonstrate Customer Awareness
Think about how your actions impact customers and be prepared to share examples of how you've prioritised customer needs in your previous roles. This will resonate well with the team at Gradient Labs, who value a customer-centric approach.
