At a Glance
- Tasks: Lead AI projects to enhance customer service and drive measurable results.
- Company: Gradient Labs, a fast-growing start-up reshaping customer operations with AI.
- Benefits: Competitive salary, equity, flexible work, private healthcare, and 25 paid days off.
- Why this job: Join a passionate team tackling exciting challenges in AI and customer service.
- Qualifications: Experience in tech delivery, strong communication, and a customer-centric mindset.
- Other info: Dynamic environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Overview
AI Delivery Lead 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. 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.
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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.
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Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.
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Guide customers in tailoring and optimising our AI agent capabilities to solve unique operational challenges and maximise end-user resolution rates.
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Proactively analyse performance data to track AI effectiveness, drive continuous improvement, and ensure customers realise measurable value (e.g., Deflection, quality, CSAT).
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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.
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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.
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Establish scalable, high-quality onboarding and implementation processes that set all customers up for long-term success.
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Manage project risks and governance related to AI deployment, ensuring all solutions meet compliance, security, and responsible AI standards.
💡 What you’ll bring
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Proven Tech Delivery: Experience in forward-deployed, customer-facing roles at high-growth tech companies.
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Results-Driven Ownership: Proven ability to own and deliver complex, multi-stakeholder projects end-to-end.
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Structured Adaptability: Thrives in ambiguity, proactively creating structure and driving clarity where none exists.
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Technical Acumen: Strong grasp of technical fundamentals (APIs, integrations) and the ability to collaborate effectively with engineering teams.
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Data Analysis: Comfortable using analytical tools (e.g., Omni, BigQuery…) to surface insights and guide decisions.
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Clear Communication: Communicates clearly and confidently across all audiences, internal and external, including technical teams and senior leadership.
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Customer-Centric: Deeply customer-obsessed, driven by delivering real, measurable business outcomes and value.
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Pragmatic Problem Solver: Entrepreneurial mindset used to find creative, pragmatic solutions balancing goals with feasibility.
đź’« Benefits
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Competitive salary and equity in a fast-growing start-up
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25 paid days + Bank holidays
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Private Healthcare (Dental + optical)
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Pension scheme
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Flexible work environment
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20 unpaid leave
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Dog friendly office
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Monthly socials
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.
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AI Delivery Lead employer: Gradient Labs
Contact Detail:
Gradient Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to people in your 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 diving deep into AI and customer service trends. Show us you’re not just a candidate but a passionate expert ready to tackle the challenges we face at Gradient Labs.
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! We love candidates who can think on their feet and come up with creative solutions. Bring examples of how you've tackled tough projects in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team 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 analytical tools like Omni or BigQuery. This will help us understand how you can collaborate 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 in previous roles. We love candidates who put customers first!
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 the role. We can't wait to hear from you!
How to prepare for a job interview at Gradient Labs
✨Know Your AI Inside Out
Make sure you have a solid understanding of AI technologies and how they apply to customer service. Brush up on the specifics of Gradient Labs' AI platform and be ready to discuss how it can solve real-world problems for businesses.
✨Showcase Your Project Management Skills
Be prepared to share examples of complex projects you've managed in the past. Highlight your ability to lead multi-stakeholder initiatives and how you ensured successful outcomes, especially in tech delivery roles.
✨Demonstrate Customer-Centric Thinking
Think about how you can bring value to customers through AI solutions. Prepare to discuss how you've previously tailored services to meet unique customer needs and how you plan to do the same at Gradient Labs.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing technical concepts. Remember, you'll need to communicate effectively with both technical teams and senior leadership, so being concise and confident is key.