At a Glance
- Tasks: Design AI-driven content systems to enhance customer support experiences.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Inclusive culture, diverse team, and opportunities for professional growth.
- Other info: Join a dynamic team committed to fixing the financial system.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Proven experience in content design and a passion for AI technology.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role.
Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
Your mission: You'll be figuring out how to harness the potential of AI to scale your impact as a content designer, quickly test and iterate on your ideas with a huge degree of freedom and flexibility, and learn as part of your day-to-day work as this technology evolves. You'll be shaping the core Wise Assistant experience for Support and beyond. You will build the system that guides our customers through all parts of the Wise product, and gives them quick and reliable help exactly when they need it.
How you'll contribute: Together with a team of engineers, product managers, and data scientists, you'll design the system from the ground up to shape how Wise delivers conversational AI experiences that help our customers in the exact moment they need help. You'll collaborate with your engineering, data science, product, and design partners to set the vision and strategy, and coach teams to deliver it. You'll be influential in your product area, understanding and prioritising content needs and delivering on the most impactful projects across multiple teams. Working with design leaders from other squads, you'll standardise and systematise experiences for customers. Using your content skills, you'll level up content design quality and maturity across the Support squad. Part of the Content Guild, you'll regularly collaborate with the content community across Wise.
This role will give you the opportunity to: Own the squad's content and automation strategy end-to-end, and steer the strategy and direction. Elevate product and content quality — you define what good looks like in the squad, and demonstrate it with everything you ship. Be part of a positive change in the world. We're fixing a broken system, and putting people and businesses in control of their money.
About you: You're an accomplished and experienced Principal Content Designer with extensive experience shipping world-class products. You have an in-depth understanding of AI and strong perspectives on how the underpinning systems need to be shaped, including as part of user-facing products and as part of your content design process. You've designed systems that generate content and experiences that guide customers, including considering prompts, guardrails, knowledge architecture, and agents. You love learning new things, including nerding out on the technical details, and applying what you learn to solve complex problems. You're comfortable navigating ambiguity — and can successfully collaborate in this environment. You have an eye for quality, and know what to focus on to drive it up. You're influential, inspiring, and able to work with others in a culture that values autonomy and empowerment. You evangelise the role of content design in automation-based projects, and enjoy coaching other content designers new to these kinds of products. You're highly empathetic, both to customers and the people you work with.
Heads up, this probably isn't for you if: Your experience is mostly in marketing content, advertising, copywriting, journalism or social media – and you have no hands-on experience of content design or working in UX. You're not comfortable navigating complexity and working in a fast-paced environment. You're not interested in the technical aspects of automation. While you will partner with engineers to build systems, you'll need a solid understanding of and keen interest in how the system functions.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Content Designer, Wise Assistant in Bristol
✨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 Wise!
✨Show Off Your Projects
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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 Wise.
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We think you need these skills to ace Principal AI Content Designer, Wise Assistant in Bristol
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 Wise, 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 Wise. 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 Wise
✨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 Wise!
✨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.
