Product Manager, Data Products
The Mission
The MissionAtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms like Snowflake, Databricks, and Google BigQuery, and the business users and AI agents that need consistent, governed, AI-ready analytics.
About the Role
Own the Constructs and Experiences: The Senior Product Manager, Data Products will own the constructs and experiences that data engineers, modelers, data scientists, and emerging AI agents use to build data products on AtScale.
Responsibilities
Own the Modeling Surface: Lead product strategy for data modeling and ontologies, and for the modeling expression language (SML, MDX, DAX, Pandas, and others) that data engineers and modelers use to define how data behaves.
Define the Metrics Layer: Drive the roadmap for metrics, aggregates, and advanced calculations, including how they're expressed and translated across engines like Apache Ossie, Snowflake Semantic Views, dbt, and others.
Build for a New Kind of User: Design constructs and experiences that work as well for AI agents building and consuming data products as they do for data engineers and data scientists.
Bridge Modeling and Consumption: Partner with engineering and architecture to keep modeling constructs, metrics definitions, and translation layers coherent as new engines and standards emerge across the ecosystem.
Requirements
6+ years of product management experience, including significant time spent on data engineering, data modeling, metrics layers, or semantic layer products.
Hands-on familiarity with modeling expression languages such as SML, MDX, DAX, or Pandas, and understanding the trade-offs between them.
Understanding of metrics translation and semantic modeling approaches across the modern data stack, dbt, Snowflake Semantic Views, and similar frameworks.
Closely worked with data engineers, data modelers, and data scientists, understanding their needs and challenges.
Thoughtful about how AI agents consume and build on structured data, and how that impacts the constructs product teams need to expose.
Strong technical fluency—comfortable in detailed conversations with engineers about modeling, aggregation, and calculation semantics—along with excellent written and verbal communication skills.
Qualifications
Not specified.
Skills
Data modeling
Metrics layer design
AI agent integration
Product strategy development
Technical fluency
Benefits
Competitive salary + equity.
Comprehensive health benefits and flexible PTO.
The chance to define the data modeling and metrics strategy for a category-defining leader in AI-ready analytics.
Visit www.atscale.com to learn more.
Pay
N/A
Schedule
N/A