Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. The traditional real estate process is broken and our goal is simple: fix it. We are building a digital, end-to-end customer experience that makes buying and selling a home simple, certain, and fast. We have assembled a dedicated team with diverse backgrounds to support more than 250,000 customer transactions across 50 markets in the U.S. But the work is far from over. Transforming the real…
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Full company description
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. The traditional real estate process is broken and our goal is simple: fix it. We are building a digital, end-to-end customer experience that makes buying and selling a home simple, certain, and fast. We have assembled a dedicated team with diverse backgrounds to support more than 250,000 customer transactions across 50 markets in the U.S. But the work is far from over. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight-knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.
So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you.
For more information, please visit www.opendoor.com
Keep up with latest Opendoor news and reports: https://linktr.ee/opendoorhq
LinkedIn followers
170,071
People associated on LinkedIn
1,427
Reported office locations
500 Montgomery St, Suite 500, San Francisco, California 94104, US
410 N Scottsdale Rd, Suite 1600, Tempe, Arizona 85288, US
Business categories
Online Auctions
Hospitality
Reservations
Apps
Restaurants
Marketplace
Information Services
Internet
PropTech
Auctions
Property Management
Real Estate
Property Development
Other recorded names
Opendoor
Specialties
Real Estate
Technology
Data Science
Design
and Operations
Profile identifies a recruitment agency
No
Reported total investment
2,574,930,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Real Estate
Size
1,001-5,000 employees
Headquarters
San Francisco, California
Organization type
Public Company
Specialties
Real EstateTechnologyData ScienceDesignand Operations
Opendoor has 19 open jobs in Canada as of November 6, 2026. Top locations: Toronto.
Candidates need experience independently resolving complex fraud, abuse or safety investigations and producing clear findings. They should handle sensitive, time-sensitive cases with empathy, write clear investigative records, use AI and automation carefully, and mentor others.
Case-management tools, Reporting tools, AI workflows, Security-system data
Candidates need experience investigating fraud or abuse, managing and developing a team, and running time-sensitive operations. They should show strong investigative judgment, hands-on use of AI workflows, clear communication and sound escalation judgment.
Case management systems, Security and monitoring systems
Candidates need hands-on experience building and deploying AI agents or automations in a business setting, with examples of errors they caught and fixed. They must be able to explain how systems connect and learn unfamiliar finance processes quickly. Accounting knowledge is not required.
Opendoor needs candidates with hands-on experience creating AI agents, reusable skills and automated workflows, plus skill connecting systems through APIs and scripting. They must test AI outputs, add human review, and handle confidential information carefully. Payroll experience is not required.
Rippling, E*Trade, Google Workspace, NetSuite, spreadsheets
Candidates need experience running an enterprise workforce identity platform with deep Okta engineering skills, a shipped passkey rollout, and strong software engineering in Python, Go or TypeScript. Infrastructure as code with Terraform and an identity-first mindset with SSO, SAML, OIDC and SCIM are also required.
Okta, Okta Workflows, Google Workspace, Terraform, GitHub, Datadog
Candidates need deep software engineering experience shipping production systems, strong fundamentals in a general-purpose language, and experience with relational databases at scale. They must be based in or willing to relocate to Miami, Toronto, or Seattle.
Candidates need senior-level experience shipping production ML systems, strong Python and statistics skills, and end-to-end ML lifecycle expertise. They must communicate design tradeoffs clearly and be based in or willing to relocate to Miami, Toronto or Seattle.
Opendoor needs deep AWS and cloud security experience, Kubernetes security skills, and strong programming ability in Go, Python or TypeScript with Terraform. Candidates should have identity-first security experience and a builder mindset for automating security work.
Candidates need hands-on experience administering SaaS platforms and macOS and Windows endpoints, scripting skills, and working knowledge of cloud and identity protocols. Ownership of IT projects end to end is also required.
Google Workspace, Slack, Microsoft 365, Jamf, Intune, Entra ID
Candidates need deep hands-on Okta experience with SSO, SCIM and API automation, plus Jamf macOS management and CrowdStrike EDR operations. Strong Python, Go or TypeScript skills and a track record building agentic automation are required.
Okta, Jamf, CrowdStrike Falcon, Microsoft Intune, Microsoft Defender, Google Workspace
Candidates need experience as a data scientist, product analyst or similar quantitative role, with strong statistics, experimentation and causal inference skills. They also need strong SQL and Python, experience with large datasets, and clear communication.
Candidates need experience building quantitative models for decisions under uncertainty and strong production-quality Python. An advanced degree in a quantitative field is preferred, along with experience in causal inference, Bayesian, structural or optimization methods.
Candidates need a MS or PhD in computer science, statistics, mathematics or a related field, strong Python coding for production systems, and end-to-end ML deployment experience. Hands-on deep learning experience with ConvNets or Transformers and a solid base in statistics and experimental design are also required.
Candidates need strong Python skills, experience taking predictive models into production, and applied knowledge of causal inference and experiments. An advanced degree (MS or PhD preferred) in a quantitative field or equivalent applied research experience is expected.
Candidates need application security or software engineering experience with a security focus, strong coding skills in Python, Go, TypeScript or Ruby, and hands-on use of security scanning tools. They also need knowledge of API vulnerabilities, threat modeling, and cloud and Kubernetes security.
Candidates need expert SQL, strong Python, and experience with modern data warehouses and tools like dbt and Airflow. They should have built and deployed LLM-powered applications or AI agents in production, and have a track record of driving business decisions through analytics and mentoring others.
Candidates need senior SEO experience covering both technical SEO and content strategy, ideally at a marketplace or consumer company at scale. They also need web and data fluency to defend priorities with Engineering and senior stakeholders.
Candidates need hands-on lifecycle marketing experience with Iterable, Braze, Customer.io, Klaviyo or a similar platform, plus strong analytics, testing and attention to detail. Working fluently with AI tools in daily work is also required.
Candidates need hands-on experience owning indirect procurement and commercial contracts from intake to signature. Strong knowledge of payment terms, renewals, liability, data protection, SLAs and termination rights is required, and experience with a procurement platform such as Ramp is a plus.