Senior Data Platform PM: Real-Time, AI-Ready Data

United States Digital Space LLC; United States; Remote; USD 70,000 - 87,000; Full time

Benefits offered by this job

Private Medical Insurance

Life/Risk Assurance

Meal Allowance: 8.55€ per day

Community Days

Paid Annual Leave (22 days)

Global Lifestyle Reimbursement Account

Paid Sabbatical

Laptop workstation

Job summary

United States Digital Space LLC is seeking a Senior Product Manager to define the data platform roadmap across ingestion, storage, governance, and real-time access. You will shape data flows powering both messaging surfaces and Nova AI experiences, ensuring speed, reliability, and scale.

This role demands deep pragmatism with data connectivity, orchestration, and analytics, plus strong collaboration with engineering, design, and GTM teams.

Qualifications

• Senior Product Manager with technically complex, customer-facing data products/platform experience.
• Experience building data platforms with ingestion, transformation, storage, governance and APIs for analytics, AI and product experiences.
• Familiarity with Snowflake, Databricks, BigQuery, Redshift or similar cloud data ecosystems.

Responsibilities

• Define and execute the vision, strategy, and roadmap for our data platform to enable scalable, reliable, AI-ready data infrastructure.
• Build features for ingestion, transformation, governance, and activation of data across the platform.
• Drive real-time processing, analytics, and personalization at scale.

Skills

Senior Product Manager

Data products

Data platforms

Cloud data ecosystems

Data modeling/metadata

Stakeholder management

Product metrics

Communication

Job description

United States Digital Space LLC is seeking a Senior Product Manager to define the data platform roadmap across ingestion, storage, governance, and real-time access. You will shape data flows powering both messaging surfaces and Nova AI experiences, ensuring speed, reliability, and scale.

This role demands deep pragmatism with data connectivity, orchestration, and analytics, plus strong collaboration with engineering, design, and GTM teams.