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- Tasks: Shape and grow global data solutions while collaborating with innovative teams.
- Company: Kyckr, a rapidly scaling data and SaaS company with a social purpose.
- Benefits: Fully remote work, competitive maternity and pension policies, and exposure to strategic activities.
- Why this job: Join a dynamic team and transform how organisations access real-time data.
- Qualifications: 3+ years in data analytics or product management, strong Python skills, and agile experience.
- Other info: Unique opportunity to deepen product management skills in a fast-growing startup.
The predicted salary is between 36000 - 60000 £ per year.
Kyckr is an innovative and rapidly scaling data and SaaS company, providing business verification services to Financial Crime teams in banks, law firms, payments service providers and other regulated entities. Our solution is a single access point to a live network of over 300 global corporate registries, through which we provide accurate data, integrated with innovative workflow tools. We were recently named a ‘Category Leader for KYC Data Solutions’ by Chartis Research and after a year of record growth, have big plans to expand.
We’re looking for a dynamic, passionate, and methodical Data Product Manager to help shape and grow our global data and API integration capabilities. This is a fantastic opportunity for someone with a strong analytics background and a developed understanding of how great data products function. You’ll bring a customer-focused mindset, playing a key role in defining, building, and delivering scalable data solutions that support our growth.
Working with alumni of some of the most-innovative tech companies on the planet, you will gain significant exposure to strategic activities and join the ground floor of a company with big plans and a genuine social purpose. You’ll work closely with our Head of Product and jurisdictional data experts, owning key initiatives to turn complex business needs into practical, scalable outcomes. This is a unique opportunity to deepen your product management skills, while helping to transform how organisations access and leverage real-time registry data.
As Data Product Manager you will:
- Develop and execute product strategies that drive revenue growth and market expansion through scalable data solutions
- Design and optimize API, data transforms, and integration patterns for maximum scalability and performance
- Build systems to analyze product adoption, market performance, and business metrics to inform strategic decisions
- Lead the development and maintenance of our developer portal, API documentation, and technical resources
- Design and implement automated data processing, quality assurance, and operational workflows
- Translate business requirements into detailed technical specifications for development teams
- Collaborate with engineering teams to build features incrementally using agile methodologies
- Design and implement automated testing strategies for data products and APIs
- Work with engineering, data science, and business teams to ensure successful product delivery
- Analyze market trends, competitor offerings, and technical capabilities to inform product decisions
Requirements:
- 3 years+ experience in data analytics, product management or software engineering
- Experience with commercial data products or data-driven businesses
- Strong Python programming skills and experience with data manipulation
- Familiarity with database technologies (SQL, NoSQL) and data warehousing concepts
- Strong analytical skills to evaluate product performance, user behavior, and business metrics
- Understanding of agile development methodologies, particularly Scrum
- A passion for building scalable data products and driving business growth
- Detail-oriented with strong analytical and problem-solving abilities
- Clear verbal and written communication with the ability to articulate technical concepts and business value to diverse audiences
- Self-motivated with proven ability to work independently on technical initiatives
- Master’s degree in computer science, or a related field
- Background in a Financial Crime/KYC-related role
- Experience designing, documenting, and maintaining RESTful APIs and developer tools
- An understanding of data pipelines, ETL processes, and data quality management
- Experience in a software/data tech startup – seed to Series B level
Fully remote – you’ll be contracted to our UK, Ireland or Australian entity but work remotely. Competitive maternity and pension policies.
Data Product Manager employer: Kyckr Limited
Contact Detail:
Kyckr Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Kyckr or similar companies. A friendly chat can open doors and give you insights that might just help you land that Data Product Manager role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data products and analytics. When you get the chance to chat with hiring managers, share how you've tackled challenges and driven growth in previous roles.
✨Tip Number 3
Be ready for the interview! Research Kyckr’s products and think about how you can contribute to their mission. Prepare questions that show your interest in their data solutions and how you can help them expand their market presence.
✨Tip Number 4
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 team and contributing to Kyckr's exciting journey.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Product Manager role. Highlight your experience in data analytics and product management, and don’t forget to showcase your Python skills and familiarity with database technologies. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for building scalable data products and driving business growth. Share specific examples of how you've tackled similar challenges in the past, and let us know why you’re excited about joining Kyckr.
Showcase Your Analytical Skills: Since this role requires strong analytical skills, make sure to include examples of how you've evaluated product performance or user behaviour in your application. We love seeing how you’ve used data to inform strategic decisions, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Kyckr Limited
✨Know Your Data Inside Out
As a Data Product Manager, you’ll need to demonstrate a solid understanding of data analytics and product management. Brush up on your knowledge of data manipulation, SQL, and Python. Be ready to discuss how you've used these skills in past roles to drive product success.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business needs with practical solutions. Think about specific projects where you translated requirements into technical specifications. This will show your methodical approach and ability to deliver scalable outcomes.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working closely with engineering teams using agile methodologies, be prepared to discuss your experience with Scrum or similar frameworks. Highlight any projects where you’ve successfully collaborated in an agile environment to build features incrementally.
✨Communicate Clearly and Effectively
You’ll need to articulate technical concepts and business value to diverse audiences. Practice explaining your past projects in simple terms, focusing on the impact they had on the business. This will demonstrate your clear verbal and written communication skills, which are crucial for this role.
