Technical Staff Product Manager – Data

ApartmentIQ

. Own the strategy and roadmap for the data platform, including ingestion, data models, data quality, and delivery to internal and customer-facing products .

Posted 10/16/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing data platforms and products, with a strong focus on data quality, analytics, and effective communication with both technical and non-technical stakeholders. Proven ability to define metrics, evaluate data sources, and lead root cause analysis to enhance platform performance and business impact.

Highest-signal resume keywords

Data Platform ManagementRoot Cause AnalysisData Quality StandardsData ModelingB2B SaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData ScienceStatisticsETL/ELTData WarehousingData Quality ToolingData Pipeline ManagementQuantitative AnalysisTechnical Requirements DefinitionMetric Tracking

Soft Skills

Clear CommunicationStakeholder EngagementPrioritizationProblem SolvingCollaboration

Tools & Technologies

SnowflakeBigQueryDatabricks

Industry Keywords

Data QualityData ModelsMarket IntelligenceSLAB2B

Tech Stack

Tools & technologies

BigQueryETL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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