Senior Manager - Machine Learning Engineering

About the RoleWe’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.What you’ll Do: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.What you’ll Need: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.Nice to HaveExperience working with cloud-based ML stacks (e.g., AWS, GCP, Azure ML).Familiarity with modern MLOps practices and tooling.Prior experience with experimentation frameworks and causal inference a plus.CompensationThe base pay range for this position is $236,800.00 - $325,600.00annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.About OpendoorFounded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple and certain. To learn how we are reinventing the Real Estate industry check out our website. Hear about our culture directly from team members by visiting The Muse. Discover what we are building for our customers by reading our blog.Opendoor Values OpennessWe believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.We’re committed to Diversity, Equity, Inclusion, and BelongingOpendoor is dedicated to creating an inclusive and collaborative culture. We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion. Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day. You can find more information on our Career Page.We are committed to assisting members of the military community in utilizing their skills at Opendoor.U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [email protected] posted on Himalayas

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