At a Glance
- Tasks: Lead AI integration projects for enterprise customers and drive measurable results.
- Company: Gradient Labs is a fast-growing tech startup revolutionising customer service with AI.
- Benefits: Enjoy competitive salary, equity options, and a collaborative office environment near Liverpool Street.
- Other info: Be part of a small, dynamic team with a mission to transform customer support.
- Why this job: Join a passionate team tackling exciting challenges in AI and shaping the future of business operations.
- Qualifications: Experience in customer-facing roles, project management, and strong technical skills required.
The predicted salary is between 65000 - 85000 ÂŁ 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.
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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
Familiarise yourself with Gradient Labs' AI technology and its applications in customer service. Understanding how their AI agent works will allow you to speak confidently about how you can help integrate it into clients' operations.
✨Tip Number 2
Network with current or former employees of Gradient Labs, especially those who have worked in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific examples of complex projects you've managed in the past. Highlight your experience in customer-facing roles and how you've successfully navigated multi-stakeholder environments, as this is crucial for the AI Delivery Lead position.
✨Tip Number 4
Showcase your analytical skills by being ready to discuss how you've used data tools like Looker or SQL in previous roles. Being able to demonstrate your ability to track performance metrics and drive results will set you apart from other candidates.
We think you need these skills to ace AI Delivery Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in customer-facing roles and project management. Emphasise your ability to deliver complex projects and your technical skills, especially with APIs and integrations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI and how you can contribute to Gradient Labs' mission. Mention specific examples of past projects where you've driven results and collaborated with cross-functional teams.
Showcase Analytical Skills: Demonstrate your analytical thinking by including examples of how you've used data tools like Looker or SQL to drive insights and improve outcomes in previous roles.
Prepare for Interviews: Anticipate questions about your experience with customer operations and project delivery. Be ready to discuss how you handle ambiguity and create structure in fast-paced environments.
How to prepare for a job interview at Gradient Labs
✨Understand the Company and Its Mission
Before your interview, take some time to research Gradient Labs and its mission to enhance customer service through AI. Familiarise yourself with their products and how they integrate into customer operations, as this will show your genuine interest in the role.
✨Prepare for Technical Questions
Given the technical nature of the AI Delivery Lead position, be ready to discuss your experience with APIs, integrations, and data analysis tools like Looker or SQL. Brush up on relevant technical concepts to demonstrate your capability to collaborate with engineering teams.
✨Showcase Your Project Management Skills
Be prepared to discuss specific examples of complex, multi-stakeholder projects you've managed. Highlight your ability to create structure in ambiguous environments and how you’ve successfully delivered results, as this aligns with the expectations for the role.
✨Demonstrate Customer-Centric Thinking
As the role is heavily focused on customer outcomes, share instances where you've gone above and beyond to meet customer needs. Emphasise your entrepreneurial mindset and how you balance customer goals with practical solutions, which is crucial for success at Gradient Labs.