Technical Staff Product Manager – Data

🔥 1 hour ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

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ApartmentIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏠 Real Estate

☁️ SaaS

Real Estate • SaaS

ApartmentIQ is a multifamily real estate market data platform that integrates daily data on 40 million units into tools for market surveys, market research, and revenue management. It offers automated daily market surveys, a market research product (Explore Pro), and an AI-driven revenue management product called Daylight. ApartmentIQ serves over 1,500 property management companies (PMCs) and tracks 8M+ units daily, with historical data and pricing/concession data aggregation. The platform is used by asset managers, revenue managers, and business development teams in multifamily real estate to gather competitive intelligence, track construction pipelines, rent comps, and automate market intelligence workflows.

📋 Description

• Own the strategy and roadmap for the data platform, including ingestion, data models, data quality, and delivery to internal and customer-facing products • Lead root cause analysis on data quality issues, anomalies, and metric discrepancies, and work with engineering on lasting fixes • Define data quality standards, SLAs, and monitoring so issues are caught before reaching customers • Partner with data engineering and data science to scope technical requirements, weigh tradeoffs, and prioritize the backlog • Turn internal data-user and multifamily-operator needs into clear platform requirements • Define and track metrics measuring platform health, adoption, and business impact • Evaluate data sources, vendors, and partnerships expanding market-intelligence depth and accuracy • Explain technical concepts clearly to non-technical stakeholders and leadership • Work directly with customers to learn how they use the data

🎯 Requirements

• 8+ years of combined experience in product management, data science, or data analytics, including at least 4 years managing data products or data platforms • Background in data science, analytics, or a quantitative field such as statistics, economics, or computer science • Track record of root cause analysis on complex data issues, from spotting the anomaly to shipping the fix • Solid understanding of modern data stack concepts: pipelines, ETL/ELT, data warehousing (Snowflake, BigQuery, Databricks, or similar), data modeling, and data quality tooling • Experience working closely with data engineers and data scientists, with enough technical depth to earn their trust and challenge assumptions • Ability to turn ambiguous, messy data problems into clear priorities and actionable product plans • Experience in a fast moving B2B SaaS environment • Applicants must be authorized to work for any employer in the U.S.; employment Visa sponsorship is unavailable

🏖️ Benefits

• Fully remote work from home across most of the U.S., with in-person offsites • Flexible vacation policy • Dedicated paid parental leave • Medical, Dental, and Vision insurance plans for you and your family • 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance • Supplemental insurance • Specialized pet insurance coverage • 401k Program