At a Glance
- Tasks: Support the delivery of our AI platform and ensure customer success.
- Company: Join Gradient Labs, a pioneering tech company reshaping financial services with AI.
- Benefits: Be part of a dynamic team with growth opportunities and cutting-edge technology.
- Other info: Work in a collaborative environment with a focus on innovation and customer experience.
- Why this job: Make a real impact in AI and transform customer operations for top brands.
- Qualifications: Early-career experience in project coordination and a passion for technology.
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 impactAs 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.
- 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.
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 in London employer: Gradient Labs
At Gradient Labs, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. As part of our small but mighty team, you'll have the opportunity to work with cutting-edge AI technology while contributing to meaningful projects that reshape customer operations in the financial services sector. We offer a supportive environment for professional growth, where your contributions are valued, and you can make a real impact alongside talented colleagues from leading tech companies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 the interview by understanding the company’s mission and values. Show us how your skills align with our goals at Gradient Labs, especially in AI delivery and customer experience.
✨Tip Number 3
Practice your communication skills! As an AI Delivery Associate, clear communication is key. Try mock interviews with friends or use online platforms to refine your pitch and responses.
✨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 joining our team at Gradient Labs.
We think you need these skills to ace AI Delivery Associate in London
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 roles, 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 projects on track or managed multiple tasks. This will help us see that you can handle the moving parts of our AI delivery process.
Demonstrate Your Curiosity:Let us know about your technical curiosity! You don’t need to be an engineer, but sharing any experiences where you’ve learned about APIs or tech integrations will show us you’re ready to dive into the nitty-gritty of our AI platform.
Communicate Clearly:Clear communication is key in this role. Make sure your application is well-structured and easy to read. Use straightforward language to convey your thoughts, and remember to tailor your tone to match our customer-aware approach at Gradient Labs.
How to prepare for a job interview at Gradient Labs
✨Know Your AI Stuff
Make sure you brush up on the basics of AI and how it applies to customer operations. Understand Gradient Labs' unique AI agent and be ready to discuss how it can redefine customer experience in financial services.
✨Show Off Your Organisational Skills
Since the role requires keeping track of multiple moving parts, prepare examples from your past experiences where you successfully managed projects or coordinated teams. Highlight your ability to keep timelines on track and communicate proactively.
✨Be Ready for Ambiguity
Expect questions about how you handle uncertainty and incomplete information. Think of scenarios where you've navigated ambiguity effectively, showcasing your judgement and problem-solving skills.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to tailor your communication to different audiences, so consider how you would explain complex technical concepts to non-technical stakeholders.
