Technical Staff Product Manager, Data Platform (Remote)

ApartmentIQ; United States; Remote; USD 160,000 - 210,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Paid time off

Health insurance

Short-Term Disability

Long-Term Disability

Life Insurance

401k

Job summary

ApartmentIQ is seeking a Technical Staff Product Manager to own the data platform that powers market intelligence for multifamily operators. You’ll set vision, ingest, model, validate, and deliver data while working closely with data engineering, data science, and product teams.

You’ll run analyses, trace root causes, fix issues, and translate customer usage into platform improvements, partnering with internal users and operators across the business.

Qualifications

• 8+ years of experience in product management, data science, or data analytics.
• 4+ years managing data products or data platforms.
• Background in data science, analytics, or a quantitative field.
• Experience with modern data stack concepts and data quality tools.

Responsibilities

• Own the strategy and roadmap for the data platform, including ingestion and delivery.
• Lead root cause analysis on data quality issues and drive fixes with Eng.
• Define data quality standards, SLAs, and monitoring for data health.
• Collaborate with data engineering and data science to scope requirements and priorities.
• Translate internal data user needs into clear platform requirements.
• Define and track metrics measuring platform health and business impact.
• Evaluate data sources and partnerships to enhance market intelligence.
• Explain technical concepts clearly to non-technical stakeholders.

Skills

Data product management

SQL

Data analysis

Stakeholder communication

Data modeling

ETL/ELT concepts

Education

Statistics / Economics / Computer Science

Tools

Snowflake

BigQuery

Databricks

Job description

ApartmentIQ is seeking a Technical Staff Product Manager to own the data platform that powers market intelligence for multifamily operators. You’ll set vision, ingest, model, validate, and deliver data while working closely with data engineering, data science, and product teams.

You’ll run analyses, trace root causes, fix issues, and translate customer usage into platform improvements, partnering with internal users and operators across the business.