At a Glance
- Tasks: Own the technical strategy for a cutting-edge data platform and design API architectures.
- Company: Specialised B2B Data & RegTech platform with a high-trust market position.
- Benefits: Generous wellness programme, remote-first culture, and 20 work-from-anywhere days annually.
- Other info: Collaborate with innovative tools and enjoy excellent career growth opportunities.
- Why this job: Directly impact data product initiatives in an AI-native environment.
- Qualifications: 3-5 years in commercial data products, proficiency in Python and SQL.
The predicted salary is between 60000 - 75000 £ per year.
You will own the technical strategy for a platform providing real-time, legally authoritative company data to global financial institutions. This hands‐on role involves designing API architectures, automating data workflows, and leveraging AI tools to scale data products. You will bridge the gap between complex registry data and seamless developer experiences.
Location: London, UK (Remote-first)
Why this role is remarkable:
- Direct ownership of data product initiatives at an established firm with a unique, high‐trust market position in the compliance and KYC space.
- Work in an AI‐native environment where using tools like Cursor and Claude to automate workflows and prototype solutions is encouraged and expected.
- Enjoy a remote‐first culture with generous benefits, including a wellness program and the flexibility of 20 "work-from-anywhere" days annually.
What you will do:
- Design and optimize API integration patterns, data transforms, and automated processing workflows to ensure maximum scalability and performance.
- Lead the development of the developer portal and technical documentation to provide a world‐class experience for engineering clients.
- Build comprehensive business intelligence systems to analyze product adoption and market trends, informing strategic growth decisions.
The ideal candidate:
- 3–5 years of experience with commercial data products, ideally within the KYB, KYC, or corporate registry sectors.
- Proficiency in Python and SQL with a strong background in data engineering, ETL processes, and RESTful API design.
- An AI‐native builder who actively uses LLMs and modern coding assistants to accelerate development and solve complex technical challenges.
Next steps: Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you are a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.
Data Product Manager (£60k-£75k) at in London employer: Jack & Jill
Jack & Jill is an exceptional employer that fosters a dynamic and innovative work culture, particularly in the vibrant setting of Shoreditch. With a focus on employee growth and development, you will have the opportunity to lead impactful marketing initiatives while collaborating closely with the CEO and cross-functional teams. The company values creativity and agility, making it an ideal place for those looking to make a meaningful impact in the B2B landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager (£60k-£75k) at in London
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We think you need these skills to ace Data Product Manager (£60k-£75k) at in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. 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!
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✨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!
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✨Get Comfortable with Python and R
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✨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.
