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- Tasks: Lead product strategies and design scalable data solutions for a fast-growing tech company.
- Company: Kyckr is an innovative RegTech firm focused on business verification and anti-money laundering solutions.
- Benefits: Enjoy remote work flexibility, competitive maternity policies, and a wellbeing programme.
- Why this job: Join a dynamic team, gain exposure to strategic activities, and make a real social impact.
- Qualifications: 3+ years in data analytics or product management; strong Python skills and agile experience required.
- Other info: Fully remote role with occasional London meet-ups; must reside in the UK or Ireland.
The predicted salary is between 36000 - 60000 £ per year.
Applicants must have full right to work in either UK, Ireland or Australia
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
This is a remote position.
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
- A passion for building scalable data products and driving business growth
Desirable
- 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
Benefits
- Remote-first with periodic in person collaboration days
- Annual leave + bank holidays
- Enhanced maternity/paternity leave
- Supportive family & sick leave policies
- Best-in-class pension contributions
- Annual training budget
- Laptop + home office equipment provided as required
- Work from Anywhere: up to 20 days/year (policy conditions apply)
- Wellbeing programme + quarterly socials
- Private medical insurance (coming 2026)
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Data Product Manager employer: Kyckr
Contact Detail:
Kyckr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Familiarise yourself with Kyckr's products and services. Understanding their data verification solutions and how they integrate with financial crime prevention will help you articulate your value during discussions.
✨Tip Number 2
Network with current employees or alumni from Kyckr. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Showcase your analytical skills by preparing examples of how you've used data to drive product decisions in previous roles. Be ready to discuss specific metrics and outcomes that demonstrate your impact.
✨Tip Number 4
Stay updated on industry trends related to KYC and AML. Being knowledgeable about recent developments will not only impress your interviewers but also show your genuine interest in the field.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, product management, and software engineering. Emphasise your strong Python programming skills and familiarity with database technologies, as these are crucial for the Data Product Manager role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building scalable data products and driving business growth. Mention specific examples of how you've successfully managed data products or projects in the past, and how they relate to Kyckr's mission.
Showcase Analytical Skills: Demonstrate your analytical skills by including metrics or outcomes from previous roles that illustrate your ability to evaluate product performance and user behaviour. This will show that you can contribute to Kyckr's growth effectively.
Highlight Agile Experience: Since the role involves working with agile methodologies, be sure to mention any experience you have with Scrum or similar frameworks. Discuss how you've collaborated with cross-functional teams to deliver successful products.
How to prepare for a job interview at Kyckr
✨Showcase Your Analytical Skills
As a Data Product Manager, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data to drive product decisions or improve performance in previous roles.
✨Understand the Company’s Mission
Kyckr has a strong focus on combating financial crime. Familiarise yourself with their mission and be ready to articulate how your experience aligns with their goals, especially in terms of data solutions and compliance.
✨Demonstrate Technical Proficiency
With a requirement for strong Python skills and familiarity with database technologies, ensure you can discuss your technical background confidently. Prepare to answer questions about your experience with APIs and data manipulation.
✨Prepare for Agile Methodology Questions
Since the role involves working with agile methodologies, be ready to discuss your experience with Scrum or similar frameworks. Share examples of how you've contributed to agile teams and the impact it had on product delivery.
