Data Product Manager

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions—myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.

As we are expanding our team, we’re looking for Data Product Manager to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!

About the role:

As a Data Product Manager, you will be at the forefront of our data strategy, responsible for building and managing data products that harness the power of analytics, ML, and AI. You will work closely with cross-functional teams, including engineering, data science, and business units, to translate complex data insights into actionable business strategies. Your deep understanding of the payment industry (or strong desire to build one) will be crucial in delivering products that meet the needs of our customers and drive business growth.

What you’ll do:

• Collaborate with business teams to define product requirements and closely interact with engineering, data science and other technology teams to ensure successful delivery.
• Conduct market research, competitive analysis, and internal process reviews to identify opportunities for new data products and enhancements to existing products.
• Lead the end-to-end product lifecycle for data products (dashboards, APIs, Machine Learning engines, data pipelines) from ideation to launch and beyond.
• Develop and maintain a product roadmap that aligns with the company’s data strategy and business objectives.
• Utilise analytics, ML, and AI to create innovative data products that provide actionable insights and drive business value.
• Monitor the product performance, where success is defined as business impact (revenue growth, optimisation of existing business processes, cost savings).
• Communicate product vision, strategy, and progress to stakeholders at all levels of the organisation, including senior leadership.
• Ensure data products comply with industry regulations and best practices for data privacy and security, including GDPR, PSD2, PCI DSS and as of recently DORA.
• Drive data culture within the organisation by advocating for best practices, fostering data literacy, and enabling stakeholders to leverage data effectively

This role is perfect for you if you have: 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or a related field.
• Proven experience in product management, with a focus on data products, analytics, ML, and AI (for example, digital marketing optimisation (ROAS, CAC, First Touch, Last Touch, MTMA, MMM), churn prediction, LTV calculations (to support lead scoring, dynamic pricing, etc).
• Strong technical skills and understanding of data management & analytics, ML, and AI technologies.
• Experience working in the payment industry, tech startup, or financial services is highly desirable.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Proficient storyteller, with experience in presentation to various audiences.
• Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Ability to manage multiple projects simultaneously and deliver results in a fast-paced environment.
• Experience in process mapping, design, and change management.

Technical Skills

• Experience with data warehousing tools and platforms (BigQuery is a nice to have) and query languages such as SQL (highly desirable) and Python (will be a plus).
• Experience with data visualisation techniques is highly desirable, specific experience with PowerBI will be a plus.
• Power user of presentation tools such as Power Point (experience with Miro, Mural or other whiteboarding software will be considered a plus).
• Knowledge of software development methodologies (SAFE, Agile, Scrum) and tools such as Azure DevOps and JIRA.
• Knowledge of different ML approaches (predictive, prescriptive, generative) and ability to tailor the approach to the business problem at hand.
• Understanding of cloud platforms such as Google Cloud Platform and their data services.

Why you should join myPOS:

• Vibrant international team operating in hi-tech environment
• Annual salary reviews, promotions and performance bonuses
• myPOS Academy for upskilling and training
• Refer-a-friend bonus as we know that working with friends is fun
• Annual individual training and development budget
• Teambuilding, social activities and networks on multi-national level

What we offer:

• Excellent compensation package
• 25 days annual paid leave (+1 day per year up to 30)
• Full “Luxury” package health insurance including dental care and optical glasses
• Meal vouchers of 200 BGN per month
• Onsite fitness, bowling, and relax areas (Varna) or free of charge Multisport card (Sofia)
• Free coffee, snacks and drinks at the office

Who we are:

Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.

Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.

Pro tip:

Take it easy about meeting every requirement—this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!

Apply by filling in the form below and send your CV in English!

myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, colour, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.

Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!