At a Glance
- Tasks: Lead the development of AI products for customer service automation and manual workflows.
- Company: PE-backed services company with a strong focus on innovation and growth.
- Benefits: Flexible work location, competitive salary, and opportunities for professional development.
- Other info: Work remotely with occasional travel; excellent career advancement potential.
- Why this job: Join a dynamic team and drive impactful AI solutions in customer service.
- Qualifications: Experience in data and AI projects, strong relationship-building skills, and commercial insight.
The predicted salary is between 36000 - 60000 £ per year.
PE backed services company with circa $350 million revenue have identified over $40 million worth of value in Gen AI / Agentic use cases across customer service automation & manual workflow automation. They require an AI Product Manager to work closely with the SVP of Product to lead Development & Delivery of these products.
Ideal Candidates will have:
- Proven Experience of delivering complex Data and AI-related projects with a clear understanding of their commercial impacts and outcomes. A background in Data Science is preferred.
- Proven capability to work effectively as a senior-level individual contributor, successfully navigating organizational complexities.
- Relationship Building: Strong aptitude for building relationships across diverse business and technical areas, fostering collaboration and mutual understanding.
- Commercial Insight: Strong commercial acumen and a commitment to understanding market dynamics to identify new product opportunities.
- Experience working effectively with external consultancies to optimize collaborative efforts and drive successful outcomes.
Role can be based anywhere in the US with occasional travel.
AI Product Manager – Customer Service Automation employer: Wyatt Partners
As a leading global Analytics company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. With a strong focus on professional development, we offer numerous growth opportunities for our team members, particularly in the vibrant FMCG and Retail sectors. Our competitive salary package, including bonuses and car allowances, reflects our commitment to attracting top talent and ensuring a rewarding career journey.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager – Customer Service Automation
✨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 Wyatt Partners!
✨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 AI Product Manager – Customer Service Automation at Wyatt Partners.
✨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 Wyatt Partners.
✨Apply Directly through Our Website
When you find a suitable opening like AI Product Manager – Customer Service Automation at Wyatt Partners, 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 AI Product Manager – Customer Service Automation
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 Wyatt Partners, 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 Wyatt Partners. 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 Wyatt Partners
✨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 Wyatt Partners!
✨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.
