Fetch is the centralized community services platform behind modern apartment living. We unify the daily services that shape the resident experience (including package management, valet trash, storage, and market delivery) into one platform. By moving these operations offsite and managing them end to end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience for residents. Today, Fetch supports nearly 400,000 apartment homes across…
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Full company description
Fetch is the centralized community services platform behind modern apartment living. We unify the
daily services that shape the resident experience (including package management, valet trash, storage,
and market delivery) into one platform. By moving these operations offsite and managing them end to
end, Fetch removes daily work from onsite teams while delivering a simpler, more reliable experience
for residents. Today, Fetch supports nearly 400,000 apartment homes across more than 1,250+
communities in 25 major markets nationwide. Headquartered in Austin, Texas, Fetch has delivered
over 50 million packages and saved tens of thousands of hours for onsite teams.
LinkedIn followers
13,216
People associated on LinkedIn
378
Reported office locations
816 Congress Ave, Suite 1120, Austin, Texas 78701, US
Business categories
Logistics
Transportation
Delivery Service
Real Estate
Mobile
Shipping & Trucking
Transportation and logistics
Other recorded names
Fetch
Fetch Package
Specialties
Multifamily Package Management
Valet Trash
Market
Storage
and Mail Sorting
Profile identifies a recruitment agency
No
Reported total investment
172,520,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Freight and Package Transportation
Size
201-500 employees
Headquarters
Austin, Texas
Organization type
Privately Held
Year founded
2016
Specialties
Multifamily Package ManagementValet TrashMarketStorageand Mail Sorting
Fetch has 11 open jobs in Canada as of November 6, 2026.
8+ YOECandidates need 8+ years in data science or applied analytics with product-driven ownership. They must have strong SQL, Python, statistics, causal inference and forecasting skills, plus experience building and evaluating AI agent systems.
8+ YOECandidates need 8+ years in data science or applied statistics, including 3+ years building advertising platform products. They must have strong causal inference skills, experience with predictive and ranking systems, and tools like Python, SQL, Snowflake and dbt.
5+ YOECandidates need 5+ years of data science or applied analytics experience, including defining KPIs with stakeholders and building validated models. Strong skills in SQL, Python, statistics, causal inference and forecasting are required.
5+ YOECandidates need 5+ years in data science or applied analytics, experience owning experiments end to end, and strong SQL and Python skills. Experience with large-scale data tools like Snowflake, dbt, Airflow, or Spark is also required.
8+ YOECandidates need 8+ years in data science or analytics, advanced Python and SQL, and experience building and deploying machine learning models. Strong skills in statistics, experiment design and causal inference are required, along with the ability to influence senior stakeholders and communicate clearly.
8+ YOECandidates need 8+ years in data science, machine learning or applied analytics, with leadership of complex data products. They must have experience with audience expansion or measurement, causal inference, strong SQL and Python, and influencing senior stakeholders with evidence.
8+ YOECandidates need 8+ years in data science or applied analytics, with ownership of ranking, relevance or recommendation work. Strong modeling, SQL and Python skills are required, along with experience in marketplace measurement.
8+ YOECandidates need 8+ years in data science, economics, statistics or applied research, at Staff or Principal scope. They need deep causal inference and experimentation expertise, experience owning company-level metrics, and strong communication with senior audiences. A bachelor's degree in a quantitative field is required.
5+ YOECandidates need 5+ years in data science or applied analytics with product ownership, strong SQL, Python, statistics and predictive modelling, and hands-on causal inference experience. Clear communication with non-technical audiences is essential.
6+ YOECandidates need 6+ years of machine learning or software engineering experience, including owning production ML systems at scale in personalization, relevance, search or ad tech. A bachelor's degree in a technical field and strong distributed systems and system design skills are required.
Machine learning, ML, Coaching, Computer science, Child care
12+ YOECandidates need 12+ years of software or ML experience, including production ML systems at scale in personalization, search or ad tech. Strong distributed systems, data pipeline and system design skills, plus a bachelor's degree in a technical field, are required.
Machine learning, ML, Coaching, Computer science, Child care