Description
We are looking for a highly technical, hands-on Principal Product Manager to lead the Graph Risk Intelligence team. You will define how Wise ingests, stores, computes and learns from connected data, then turn that strategy into capabilities that teams can use in production.
You will build close relationships with PMs, data scientists, engineers and operational teams to understand their goals and constraints. You will balance immediate use cases with the long-term platform, focusing on speed of experimentation, cost efficiency, reliability and measurable improvements in decision quality.
This is a senior individual contributor role with influence across Risk Intelligence and the wider organisation. The initial team will include an engineering lead, machine learning engineers and backend engineers.
Your mission:
- Set the product direction. Create a clear vision and strategy for graph capabilities at Wise.
- Understand the users and problems that matter. Work directly with data science, engineering and operations teams to understand how they investigate relationships, build models and make decisions.
- Make graph experimentation easier. Help teams ingest and augment graph data, test graph signals and move successful ideas from experimentation into reliable production use.
- Advance graph intelligence. Guide and enable the use of graph algorithms and graph-based machine learning.
- Stay close to delivery. Work with engineering and machine learning from discovery through experiment, launch and iteration.
- Lead adoption across Wise. Build alignment with teams in anti-financial crime, underwriting, customer support, finance and customer relationship management.
- Own measurable outcomes. Define the metrics for platform adoption, experimentation speed, model performance, cost, reliability and user outcomes.
Qualifications:
- You have built AI or machine learning products.
- You have led a product or technical area and can show how your decisions and delivery improved user, risk or business outcomes.
- You are a builder. You go beyond coordination.
- You bring strong product judgement.
- You have technical depth. You understand machine learning systems, data pipelines and backend platforms.
- You use data yourself.
- You start with users.
- You lead through influence.
- You communicate with precision.
- You learn quickly and deeply.