At a Glance
- Tasks: Lead AI integration projects for enterprise customers and drive measurable results.
- Company: Gradient Labs is a fast-growing startup revolutionising customer service with AI technology.
- Benefits: Enjoy a competitive salary, equity options, and a collaborative office environment near Liverpool Street.
- Other info: Work closely with top brands and contribute to innovative solutions in a dynamic setting.
- Why this job: Join a passionate team tackling exciting challenges in AI and shaping the future of customer operations.
- Qualifications: Experience in customer-facing roles at tech companies, strong communication skills, and technical knowledge required.
The predicted salary is between 75000 - 95000 £ per year.
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 (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.
#J-18808-LjbffrAI Delivery Lead in London employer: Gradient Labs Limited
At Gradient Labs, we pride ourselves on fostering a dynamic and collaborative work environment where innovation thrives. As a small but rapidly growing team based near Liverpool Street Station, we offer our employees the opportunity to work closely with industry leaders while tackling some of the most challenging problems in AI. With a strong focus on employee growth and a culture that values creativity and customer obsession, joining us as an AI Delivery Lead means being part of a mission-driven company that is reshaping the future of customer operations.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead in London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and customer service. Understanding how AI can enhance customer operations will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and tech industry, especially those who have experience in customer-facing roles. Engaging with people from companies like Monzo or Google can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of complex projects you've managed. Highlight your ability to navigate multi-stakeholder environments and deliver results, as this aligns closely with the responsibilities of the AI Delivery Lead role.
✨Tip Number 4
Showcase your analytical skills by being ready to discuss how you've used data tools like Looker or SQL in past roles. This will demonstrate your technical grasp and ability to drive performance through data-driven insights.
We think you need these skills to ace AI Delivery Lead in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the AI Delivery Lead position. Tailor your application to highlight your relevant experience in customer-facing roles and project management.
Highlight Relevant Experience:In your CV and cover letter, emphasise your experience with complex, multi-stakeholder projects and your ability to thrive in fast-paced environments. Use specific examples that demonstrate your execution skills and technical understanding.
Showcase Your Technical Skills:Mention your familiarity with APIs, integrations, and analytical tools like Looker or SQL. Providing examples of how you've used these skills to drive results will strengthen your application.
Craft a Compelling Cover Letter:Use your cover letter to convey your passion for AI and customer service. Explain why you're excited about the opportunity at Gradient Labs and how your entrepreneurial mindset aligns with their mission to reshape customer operations.
How to prepare for a job interview at Gradient Labs Limited
✨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. This will show your genuine interest in the company and help you align your answers with their goals.
✨Demonstrate Your Project Management Skills
As an AI Delivery Lead, you'll need to showcase your experience in managing complex projects. Prepare specific examples of past projects where you successfully led multi-stakeholder initiatives from start to finish. Highlight your ability to create structure in ambiguous situations and how you achieved measurable results.
✨Communicate Clearly with Technical and Non-Technical Audiences
Since the role involves collaborating with both technical teams and senior stakeholders, practice explaining complex concepts in simple terms. Be ready to discuss your technical knowledge, especially around APIs and integrations, while also demonstrating your ability to engage non-technical audiences effectively.
✨Show Your Customer-Centric Approach
Gradient Labs values a customer-obsessed mindset. Prepare to discuss how you've tailored solutions to meet unique customer needs in the past. Share examples of how you've driven outcomes that go beyond just meeting requirements, focusing on enhancing customer experiences and solving operational challenges.