Ladders
Product Manager - Data Platform
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
26 September 2026
What they need
For our client, we are seeking a Product Manager - Data Platform to join the team of a leader in the Media space.
This role will own the strategy and evolution of the company's data catalog and metadata capabilities, helping internal teams discover, understand, and use data more effectively. You will partner closely with engineering, design, data, and business stakeholders to prioritize high-impact problems and deliver platform improvements that support better decision-making. The position also calls for a thoughtful approach to AI-driven changes in the data landscape, with an emphasis on adoption, business impact, and user experience.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $125,000 – $150,000 annually
Responsibilities
- Develop and own the product strategy for the company's data catalog and metadata
- Diagnose and understand the needs of the company's data community
- Identify and prioritize high-impact problems while balancing competing considerations
- Evaluate and deliver solutions through building or integrating third-party products
- Define success metrics that measure adoption and business impact
- Build relationships with internal teams to understand workflows and shape platform investments
- Collaborate with engineering, design, and data partners to deliver quality platform experiences
- Influence stakeholders around product direction and priorities
Qualifications
- 2+ years of Product Management experience on platform products or data governance systems
- Technical background in Computer Science or Engineering
- Experience engaging in technical discussions with engineers
- Excellent communication and collaboration skills across various teams
- Strong systems-thinking skills connecting workflows and business outcomes
- Empathy for users working with data and understanding their challenges
- Curiosity about AI's impact on the data landscape
Benefits
- Flexible working arrangements with some in-person meetings
- Supportive and collaborative work environment
- Opportunity to shape how data is used in an AI-driven world
- Engagement with a broad network of data professionals
- Access to professional development opportunities in a tech-driven company
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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