At a Glance
- Tasks: Lead AI projects that transform customer service and drive measurable results.
- Company: Gradient Labs, a dynamic startup reshaping customer operations with AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a groundbreaking journey in AI-powered business transformation.
- Why this job: Join a passionate team tackling exciting challenges in AI technology.
- Qualifications: Experience in tech delivery, strong communication, and analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
At Gradient Labs, we’re on a mission to make exceptional customer service the norm. Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes. We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2-3 days a week. If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we’d love to hear from you.
How you’ll make an impact
- As an AI Delivery Lead, you’ll be responsible for helping enterprise customers achieve real, measurable results through automation.
- You’ll scope and lead end-to-end projects that embed our platform deeply into their operations and drive strategic outcomes that matter.
- Own the end-to-end delivery and integration of our AI platform into customer environments, setting the project plan and ensuring a high-quality outcome.
- Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.
- Guide customers in tailoring and optimising our AI agent capabilities to solve unique operational challenges and maximise end-user resolution rates.
- Proactively analyse performance data to track AI effectiveness, drive continuous improvement, and ensure customers realise measurable value (e.g., deflection, quality, CSAT).
- Serve as the primary technical interface for customers during pre-sales, assisting with POCs, legal/security due diligence, and managing the seamless transition from trial to implementation.
- Collaborate closely with internal AI, Engineering, and Sales teams, acting as the "voice of the customer" to provide strategic feedback that shapes the product roadmap.
- Establish scalable, high-quality onboarding and implementation processes that set all customers up for long-term success.
- Manage project risks and governance related to AI deployment, ensuring all solutions meet compliance, security, and responsible AI standards.
What you’ll bring
- Proven Tech Delivery: Experience in forward-deployed, customer-facing roles at high-growth tech companies.
- Results-Driven Ownership: Proven ability to own and deliver complex, multi-stakeholder projects end-to-end.
- Structured Adaptability: Thrives in ambiguity, proactively creating structure and driving clarity where none exists.
- Technical Acumen: Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams.
- Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery…) to surface insights and guide decisions.
- Clear Communication: Communicates clearly and confidently across all audiences, internal and external, including technical teams and senior leadership.
- Customer-Centric: Deeply customer-obsessed, driven by delivering real, measurable business outcomes and value.
- Pragmatic Problem Solver: Entrepreneurial mindset used to find creative, pragmatic solutions balancing goals with feasibility.
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 Lead employer: Gradient Labs Limited
At Gradient Labs, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As an AI Delivery Lead, you'll not only have the opportunity to work with cutting-edge technology but also benefit from our commitment to employee growth through continuous learning and mentorship. Located in the heart of London, our hybrid work model allows for flexibility while ensuring you remain connected with a passionate team dedicated to reshaping customer service through AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Delivery Lead role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI delivery. We suggest doing mock interviews with friends or using online platforms to get comfortable talking about your experience and how it relates to the job.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled complex projects. We want to hear about your results-driven ownership and how you’ve made an impact in previous roles.
✨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, we love seeing candidates who are genuinely interested in joining our mission at Gradient Labs.
We think you need these skills to ace AI Delivery Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Delivery Lead role. Highlight your experience in tech delivery and customer-facing roles, and show us how you've tackled complex projects in the past.
Showcase Your Technical Skills:We want to see your technical acumen! Mention any relevant experience with APIs, integrations, or data analysis tools. This will help us understand how you can collaborate effectively with our engineering teams.
Be Customer-Centric:Demonstrate your customer obsession in your application. Share examples of how you've delivered measurable business outcomes and value for clients, as this is key to the role at Gradient Labs.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of customer operations.
How to prepare for a job interview at Gradient Labs Limited
✨Know Your AI Inside Out
Make sure you understand the fundamentals of AI and how it applies to customer service. Brush up on key concepts like APIs and integrations, as well as the specific capabilities of the AI platform you'll be discussing. This will help you speak confidently about how you can drive measurable results for customers.
✨Showcase Your Project Management Skills
Be ready to discuss your experience with managing complex, multi-stakeholder projects. Prepare examples that highlight your ability to own a project from start to finish, especially in high-growth tech environments. This will demonstrate your results-driven ownership and structured adaptability.
✨Prepare for Customer-Centric Scenarios
Think of real-life scenarios where you've had to tailor solutions to meet unique customer needs. Be prepared to explain how you’ve guided clients through challenges and maximised their outcomes. This will show your deep customer obsession and problem-solving skills.
✨Data Analysis is Key
Familiarise yourself with analytical tools like Omni or BigQuery. Be ready to discuss how you've used data to drive decisions and improve performance in past roles. This will highlight your technical acumen and ability to analyse AI effectiveness, which is crucial for the role.