Senior Manager of Machine Learning Engineering, Opendoor

• Proven leadership experience managing ML engineering teams, ideally in a fast-paced or high-growth environment
• 3+ years of people management experience, including hiring, coaching, and performance management
• 7+ years of industry experience in software engineering or machine learning, with significant experience deploying ML models into production
• Experience delivering business-critical ML systems that directly influence revenue or core customer experience
• Strong cross-functional communication skills with the ability to translate technical solutions into business outcomes
• Solid understanding of backend architecture fundamentals (e.g., APIs, microservices, data pipelines) and how ML integrates within these systems
• Deep knowledge of ML engineering practices, including model training, evaluation, versioning, monitoring, and retraining strategies

Desirable

• We’re seeking a Senior Manager, Machine Learning Engineering to lead our high-impact Pricing & ML team focused on building and scaling the machine learning ecosystem at the heart of our industry-leading pricing engine
• This role is ideal for a hands-on, strategic leader with a track record of managing ML engineers and delivering production-grade solutions that directly impact revenue
• You’ll lead a team of 5-9 engineers, drive project execution, and collaborate cross-functionally with product and business leaders to launch and refine experiences on the critical path of our multi-billion dollar per annum deal flow
• Lead, mentor, and grow a team of 5–9 machine learning engineers
• Own the design, delivery, and optimization of ML systems that support high-stakes, revenue-critical business functions (e.g., pricing, risk, recommendations, tail-management)
• Partner closely with Product, Data Science, Backend Services, and Infrastructure teams to define priorities, shape roadmaps, and ensure seamless integration of ML solutions
• Drive best practices in ML development, model monitoring, deployment, and lifecycle management
• Maintain a high technical bar and ensure consistent operational excellence across your team
• Contribute to the long-term technical vision for the unique ML infrastructure and systems required in real estate