At a Glance
- Tasks: Lead AI projects, ensuring successful integration and measurable results for enterprise customers.
- Company: Gradient Labs, a dynamic startup reshaping customer service with AI technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a transformative journey in AI-powered business operations.
- Why this job: Join a passionate team tackling exciting challenges in AI and customer operations.
- Qualifications: Experience in tech delivery, project management, and strong communication skills.
The predicted salary is between 60000 - 80000 £ 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.
Senior Agent Product Manager in London employer: Gradient Labs
Gradient Labs is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to shape the future of AI in financial services. With a strong focus on collaboration and growth, team members have the unique opportunity to build foundational partnerships that drive significant impact while enjoying the benefits of working alongside industry leaders in vibrant locations like London and NYC. As a founding member of the Partnerships function, you'll not only contribute to the company's success but also pave the way for your own career advancement in a fast-growing startup atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agent Product Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gradient Labs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Agent Product Manager at Gradient Labs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gradient Labs.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Agent Product Manager at Gradient Labs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Agent Product Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gradient Labs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gradient Labs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gradient Labs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gradient Labs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
