Opendoor Technologies Inc.-posted 9 days ago
$205,000 - $253,600/Yr
Full-time • Manager
Hybrid • San Francisco, CA
1,001-5,000 employees
Real Estate

Opendoor's mission is to make buying and selling a home as easy as the click of a button. We've transformed a complex, stressful process into a simple and transparent experience through data science, pricing models, and operational excellence. Our teams are building the modern real estate platform that empowers homeowners and buyers nationwide. We're looking for a hands-on, strategic leader to drive our Pricing & Machine Learning team. This role is focused on building and scaling the machine learning ecosystem that powers our industry-leading pricing engine. You'll lead a team of 5-9 engineers and collaborate closely with product and business leaders to deliver ML systems that directly influence Opendoor's revenue, customer experience, and pricing accuracy.

  • Lead, mentor, and grow a high-performing team of ML engineers.
  • Own the design, delivery, and optimization of ML systems supporting revenue-critical business functions (e.g., pricing, risk, recommendations).
  • Partner with Product, Data Science, Backend Services, and Infrastructure teams to define priorities and integrate ML solutions into production.
  • Drive best practices in ML development, deployment, and lifecycle management.
  • Maintain a high technical bar and ensure consistent operational excellence across the team.
  • Contribute to the long-term technical vision for Opendoor's ML infrastructure and platforms.
  • 3+ years of people management experience leading ML engineering teams.
  • 8+ years of experience in ML or software engineering, including production deployment.
  • Proven success delivering ML systems that directly influence revenue or customer experience.
  • Strong understanding of backend architecture fundamentals (APIs, microservices, data pipelines).
  • Deep knowledge of ML engineering practices: training, evaluation, versioning, monitoring, retraining.
  • Familiarity with cloud-based ML stacks (AWS, GCP, Azure) and modern ML Ops tooling.
  • Excellent cross-functional communication and collaboration skills.
  • Experience with experimentation frameworks and causal inference.
  • Prior experience in pricing, financial modeling, or marketplace systems.
  • Track record of influencing product and business strategy through ML innovation.
  • Unlimited PTO
  • Medical, dental, and vision insurance
  • Life insurance
  • 401(k) retirement plan
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