Senior Data Engineer building scalable data platforms for Alpaca’s global brokerage infrastructure. Operating Kubernetes, streaming, lakehouse, and cloud data systems at scale.
About the role
- Product Manager owning Spotify’s data catalogue, metadata, and lineage roadmap. Improving how engineers, analysts, and AI agents discover and safely use data.
Responsibilities
- Develop and own the product strategy and roadmap for Spotify's data catalogue, metadata, and data lineage domain
- Diagnose and understand the needs of Spotify's data community, including data engineers, data scientists, analysts, ML engineers, and AI agents
- Identify and prioritize high-impact problems while balancing user needs, business priorities, platform requirements, and regulatory considerations
- Evaluate and deliver solutions through building, buying, or integrating third-party products and capabilities
- Define success metrics and KPIs measuring adoption, value creation, and business impact
- Build relationships with internal product, engineering, analytics, and data teams
- Collaborate with engineering, design, and data science partners to deliver platform experiences
- Influence stakeholders across the Data Platform Studio and Spotify organization on product direction and priorities
- Shape Spotify's approach to metadata, governance, discoverability, lineage, and trust in an AI-driven world
- Stay informed on trends in data platforms, developer tools, AI/ML infrastructure, analytics, and data governance
Requirements
- 2+ years of Product Management experience
- Ideally experience working on platform products, developer tools, data infrastructure, analytics platforms, or data governance systems
- Technical foundation through a degree in Computer Science, Engineering, a related field, and/or prior experience in engineering or technical roles
- Comfortable working with engineers and engaging in technical discussions
- Excellent communication and collaboration skills
- Strong systems-thinking skills
- Understanding of data workers’ challenges
- Ability to work through ambiguity and break down complex problems
- Interest in AI’s impact on the data landscape
Benefits
- Flexibility to work where you work best
- Ability to work from home
- In-person meetings with flexible work arrangement
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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