At a Glance
- Tasks: Drive product development for our analytics platform, ensuring high-quality feature delivery.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for personal growth.
- Why this job: Make a real impact on how the world manages money with innovative tech solutions.
- Qualifications: Passion for product development and strong data affinity required.
- Other info: Collaborative environment with diverse teams and excellent career progression.
The predicted salary is between 36000 - 60000 £ per year.
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.
The Role
This role is a unique opportunity to develop your product skills and technical knowledge at a significant scale. By building a platform that enables our engineers to deliver new features with high quality even faster, your contributions will have a major impact on Wise’s mission. Platform is a broad domain covering data, compute, networking, CI/CD, SRE, developer experience and much more. We expect our Technical Product Managers to have a deep ownership of the roadmap, product, and strategy for their teams. You will be responsible for driving the full lifecycle of product development, from conception through to successful delivery. While your primary focus will be on ensuring the execution and alignment of one or two critical teams, you will also have the opportunity to broaden your impact by collaborating across the wider platform tribe, ensuring consistency, scalability, and innovation across our rapidly evolving tech stack.
Strategic Vision
You will own and drive the long‑term strategy for our analytics platform, ensuring that it not only meets the current needs of the business but also anticipates and adapts to future challenges. Your efforts will ensure that our platform meets the evolving needs of the business, providing scalable and efficient data access to teams across the organisation.
Stakeholder Collaboration
You will build and maintain strong relationships with stakeholders and data users across the organisation, ensuring their needs and feedback are integral to the platform’s development. Your role will be pivotal in translating complex data requirements into actionable insights for your team.
Fostering a Data‑Driven Culture
You will lead and influence the continuous improvement of our data repositories, setting the vision for a unified, high‑quality data ecosystem that drives the adoption of data‑driven practices across the organisation. Your efforts will drive the adoption of a data‑driven mindset across the organisation.
Alignment, Prioritization, and Outcome Measurement
You will utilise OKRs and agile methodologies to align your team’s efforts with the broader strategic goals of the data platform. By prioritising work that delivers the highest impact, you will ensure that the platform continuously evolves to meet the needs of the business, with measurable outcomes that demonstrate success.
Cross‑Functional Collaboration and Knowledge Sharing
You will work closely with other Product Managers, Engineering Leads, and technical teams to ensure that our platform integrates seamlessly with other systems and reduces dependencies. Your focus on collaboration and knowledge sharing will accelerate progress and drive innovation across the organisation.
Key Contributions
- Develop a comprehensive understanding of the diverse needs of your stakeholders across the organisation, focusing on the analytics data lifecycle.
- Define their problems and requirements, identifying common areas of concern/benefit and working with stakeholders to understand the impact of these areas.
- Proactively identify, prioritise and execute on the workflows which automate tedious and repetitive tasks.
- Bridge the gap between engineering and data discovery platforms, governance platforms, and analytics platforms.
- Break down and prioritise tasks by quantifying cost and effort against the benefit to the business and your customers.
- Collaborate with stakeholders to ensure your priority decisions align with the strategic goals of the database platform team.
- Prioritise the development of self‑service capabilities to improve the user experience of our analytics platforms.
Qualifications
About you:
- You have a passion for the entire product development lifecycle and a strong affinity for data.
- You are comfortable working across a broad range of technical domains, from cloud offerings and cloud‑native technologies to data engineering and analytics.
- You are adept at understanding the trade‑offs between different platform technologies, and can communicate these considerations clearly, with an awareness of their practical implications.
- Comfortable collaborating with engineers and business users, with experience working with data engineering, analytics, or data science teams.
- Familiarity with Looker and Superset or other BI tools.
- Enjoy deciphering complex domains and sharing that understanding.
- Strong analytical skills, enabling you to navigate complex system‑design challenges to find innovative solutions using both quantitative and qualitative information.
- Creativity in problem‑solving, with an understanding that the most complex solution isn’t always the best.
- Ability to simplify complex technical concepts for stakeholders at all levels.
- Proficient in communicating your ideas, knowing when it’s best to write, say, or show something.
- Adaptability to the dynamic nature of teamwork in a fast‑paced environment, with the ability to pivot to new priorities effectively.
Some extra skills that would set you apart:
- Experience as a Data Product Owner.
- Some hands‑on experience as a Data Engineer, Data Scientist or Analytics Engineer (or deep SQL experience).
- Experience using or building data platform products.
- Experience with data cloud warehouses, ideally Snowflake or Presto/Trino.
- Comfortable using Python or SQL to do deep dives into data.
This role will give you the opportunity to:
- Never be bored: You’ll get to work on an evolving set of problems, from internal developer experience to deeply technical infrastructure development.
- Learn your path to impact – we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your lead and teams around you to find your own route to impact the mission.
- Work with experienced product managers, engineering leads, engineers and analysts to develop your skills at an enterprise scale.
We’re 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. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Senior Technical Product Manager – Analytics Platform employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Product Manager – Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Wise’s mission and values. Show us how your skills align with our goals, especially around data-driven practices and product development. We love candidates who are genuinely passionate about what we do!
✨Tip Number 3
Practice your storytelling! Be ready to share specific examples of how you've tackled challenges in product management or analytics. We want to hear about your thought process and how you’ve driven results in past roles.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. Mention something specific from your conversation to remind us why you’re a great fit for the team.
We think you need these skills to ace Senior Technical Product Manager – Analytics Platform
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Technical Product Manager role. Highlight your experience with data platforms and product management, and show how your skills align with Wise's mission to make money management easier.
Showcase Your Technical Skills: Don’t shy away from flaunting your technical know-how! Mention any experience you have with cloud technologies, data engineering, or analytics tools like Looker and Superset. We want to see how you can bridge the gap between engineering and product management.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. Remember, we appreciate a good story, but we also love brevity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Wise
✨Know Your Product Inside Out
Before the interview, dive deep into Wise's analytics platform and understand its features, benefits, and challenges. Be prepared to discuss how your experience aligns with their mission of making money management easier and more efficient.
✨Showcase Your Technical Savvy
Since this role requires a strong technical background, brush up on relevant technologies like cloud offerings, data engineering, and BI tools like Looker or Superset. Be ready to explain complex concepts in simple terms, demonstrating your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Stakeholder Scenarios
Think about past experiences where you collaborated with diverse teams or stakeholders. Prepare examples that highlight your ability to gather requirements, prioritise tasks, and drive product development while ensuring alignment with strategic goals.
✨Emphasise Your Data-Driven Mindset
Wise values a data-driven culture, so be ready to discuss how you've used data to inform decisions in previous roles. Share specific instances where your analytical skills led to innovative solutions or improved processes, showcasing your passion for the entire product development lifecycle.