Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Data Product Manager
Porto, Portugal
Farfetch - Technology – Data
Permanent / Hybrid
About the Role
Farfetch is a leading global marketplace for the luxury fashion industry. Our office near Porto, in the north of Portugal, is located in a vibrant business hub, offering a dynamic and welcoming environment for our employees.
We are seeking a Data Product Manager to support the development of data products that drive business insights and decision-making. In this role, you will work closely with senior PMs, Engineering, Data Science, and Analytics teams to deliver reliable, actionable data solutions. This is an excellent opportunity to grow your skills in data product management while contributing to high-impact initiatives.
Responsibilities
- Own the roadmap to implement a product strategy, ensuring alignment with business goals.
- Assist in defining and tracking key metrics to measure product performance and business impact.
- Create and maintain product roadmaps and documentation.
- Collaborate with Engineering, Data Science, Analytics, and business teams to deliver reliable data products.
- Contribute to data quality checks, validation, and reporting.
- Help translate business needs into actionable data initiatives and insights.
- Learn to apply product management best practices and contribute to a product-led culture.
Requirements
- Experience as a product manager, analyst, or professional with an interest in data products and analytics.
- Comfortable with SQL, spreadsheets, and basic data analysis, and eager to learn about ETL processes, data modelling, and data pipelines.
- Strong communicator and collaborator, able to work with cross-functional teams and support stakeholders.
- Curious, analytical, and motivated to develop into a full Data Product Manager.
- Organized and detail-oriented, able to manage multiple priorities under guidance.
- Comfortable learning in ambiguous environments and taking ownership of well-defined tasks.
Nice to Have
- Some experience or coursework in data, analytics, or product management.
- Familiarity with SQL, data analysis, or visualization tools.
- Exposure to data pipelines, ETL, or data modeling concepts is a plus.
- Interest in understanding business impact from data products.
- Strong collaboration and communication skills.
We Offer
- Health insurance for the whole family, flexible working environment, and well-being support and tools.
- Extra days off, sabbatical program, and days for you to give back to the community.
- Training opportunities.
- Flexible benefits program.
About the Company
Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
Equal Opportunities Statement
Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
Scam Disclaimer
It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.