At a Glance
- Tasks: Lead AI integration projects to enhance Wise's operational efficiency and customer experience.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive team environment with a focus on innovation.
- Why this job: Make a real impact by transforming how the world manages money with AI.
- Qualifications: Experience in AI implementation, SQL expertise, and strong problem-solving skills.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role.
Company Description
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.
More about our mission and what we offer.
A Little Bit About Wise And The Mission
At Wise, our mission is money without borders – instant, convenient, transparent, and eventually free. We’re powering money for people and businesses in their increasingly global lives. To do this for our 16+ million customers, we need to build world‑class operational services that are fast, accurate, and scalable.
Your Mission
- Opportunity Diagnosis: In collaboration with other TGS specialists (e.g., CI, Transformation Managers etc.) you will audit our most complex business workflows, identifying where ‘human‑in‑the‑loop’ processes can be evolved into autonomous agents that reason, decide, and execute.
- Own the end‑to‑end lifecycle of building and deploying AI Agents: You will design AI integrations that respect Wise’s back‑end architecture. You aren’t just writing prompts; you are mapping data flows and ensuring that AI outputs integrate seamlessly into existing operational tools without creating manual workarounds or ‘shadow’ systems.
- Leverage your SQL skills to master the data: You will extract, transform, and load necessary data from various sources to train and inform our AI agents, ensuring they are accurate and context‑aware.
- Collaborate across the business to deliver robust solutions: You will work side‑by‑side with our "AI Champions" and operational experts to solve real‑world problems, while proactively engaging with Privacy, Security, and Compliance to ensure your solutions are secure, compliant, and launched efficiently.
- Iterate, Monitor, and Improve: You will be responsible for maintaining, monitoring, and continuously improving the agents you build to ensure they remain effective as our business and the technology evolves.
- Scale your impact through documentation and best practices: You will document your solutions, contribute to our central AI knowledge wiki, and help upskill the wider organization by sharing your work.
Qualifications
This role is for you if you have…
- Hands‑on AI implementation experience: You have demonstrable experience building AI agents or automations and are an expert prompt engineer.
- Systems & Data Integration: Expertise in SQL and a deep understanding of system architectures. You must be able to navigate Wise’s data gateways to ensure AI agents are consuming high‑fidelity data and returning structured, actionable results back into our core processing engines.
- A strong understanding of AI: Beyond a conceptual grasp of AI, you have a foundational understanding of programming and backend architecture. You can evaluate how LLMs integrate with complex data gateways and system flows.
- A proactive, problem‑solving mindset: You have a proven track record of taking ownership, working collaboratively in a complex organization, and driving projects to completion.
- Comfort with ambiguity and a bias for iteration: This is a highly experimental space. You are comfortable navigating uncertainty, grounding your approach in empirical testing, and embracing failure as a learning opportunity.
- Excellent communication skills: You are proactive, clear, and concise, with the ability to translate complex operational needs into technical requirements.
Bonus points for:
- Direct experience with our current toolset: Credal.ai, Gemini, NotebookLM, or Google Agentspace.
- Subject‑matter expertise in a core servicing area like Payments, Customer Support, Financial Crime, or KYC.
Additional Information
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.
AI Implementation Senior Manager, TGS employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Implementation Senior Manager, TGS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with current employees at Wise. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI implementation projects. When you get the chance to chat with hiring managers, let them see what you can do!
✨Tip Number 3
Be ready for the interview! Research Wise’s mission and values, and think about how your experience aligns with their goals. Tailor your answers to show you’re not just a fit for the role, but for the company culture too.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Wise team.
We think you need these skills to ace AI Implementation Senior Manager, TGS
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how your hands-on experience and innovative ideas can help us transform the way we manage money. Make it personal and relatable!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, especially when discussing your technical skills and past projects. This helps us understand your expertise without getting lost in jargon.
Highlight Collaboration Skills: Since this role involves working closely with various teams, emphasise your ability to collaborate effectively. Share examples of how you've built relationships across departments and driven projects to completion – we love a team player!
Tailor Your Application: Make sure to tailor your application to our mission and values. Show us how your experience aligns with Wise's goals and how you can contribute to our vision of money without borders. And remember, apply through our website for the best chance!
How to prepare for a job interview at hackajob
✨Know Your AI Stuff
Make sure you brush up on your AI implementation experience. Be ready to discuss specific projects where you've built AI agents or automations. Highlight your expertise in prompt engineering and how you've navigated complex data systems.
✨SQL Skills Are Key
Since this role requires a strong understanding of SQL, prepare to demonstrate your skills. You might be asked to solve a problem on the spot, so practice extracting, transforming, and loading data. Show how you can ensure high-quality data for AI agents.
✨Collaboration is Crucial
This position involves working closely with various teams. Think of examples where you've successfully collaborated across departments. Be ready to explain how you build relationships with Product and Engineering teams to drive projects forward.
✨Embrace Ambiguity
The AI space is experimental, so show that you're comfortable with uncertainty. Prepare to discuss how you've approached challenges in ambiguous situations and turned failures into learning opportunities. This mindset will resonate well with the interviewers.