Product Manager, Data and Internal Products

Responsibilities

• Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data-intensive systems and foundational datasets.
• Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
• Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
• Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
• Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
• Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
• Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.
• Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
• Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

Requirements

• 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred.
• Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).
• Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
• Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.
• Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.
• Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.
• A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.

Compensation

Salary Range: $180,000/year - $230,000/year + equity + benefits