Product Manager, Machine Learning Platform

April 16, 2022


About OpendoorFounded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. 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, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. 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. Real estate is broken. Come help us fix it. About the team: We are looking for a Product Manager for our Machine Learning Platform team who can help us build the systems to improve and extend our machine learning products to at least 10x where they are today. Machine learning and algorithmic products are core to everything that Opendoor does (The very first lines of code ever written at Opendoor were for an ML model for home pricing!) Today,  we use ML applications to buy and sell homes, manage our portfolio, and ensure safe, enjoyable customer experiences. With many product groups across the company building and deploying ML applications, the ML Platform team is at the core of ensuring consistency and quality across all ML products. The ML Platform team provides tools used by ML engineers and data scientists to access data in model-ready formats, train models, validate and deploy models, and monitor models in production.  Job duties: Establish a vision for machine learning platform development and execution that benefits our entire company, helping us build world-class ML appliciations across domains including home pricing, search, anomaly detection, trust & safety, marketing - and more. Work with and inspire a world-class engineering teamPartner closely with data scientists and ML engineers to understand their workflows and pain points around building and deploying ML applicationsIdentify and break down complex technical and business problems into solvable pieces; guide your team in making intelligent and pragmatic trade-offs and ensuring stakeholders understand the “what and why” behind your planKeep up-to-date on the best available third-party ML infrastructure tools, to help us make good build-vs-buy decisions and investment in the right open-source software. Define and analyze metrics to track the performance of our ML tools We're looking for teammates who have: 4+ years product management experience, including delivery of entire products start to finish2+ years managing platform products (e.g. ML tools, data/analytics tools) Prior experience building, deploying, and scaling ML models; experience with data processing technology (e.g. Spark, Hadoop) is a plusFamiliarity with core data science concepts and machine learning model pipelines/workflowsStrong oral and written communication skillsStrong analytical skills; experience setting, monitoring, and improving key metrics; comfortable with SQLDeep experience collaborating with data scientists, engineers, and analystsAbility to thrive in a fast-paced, start-up environmentA strong sense of ownership for everything you shipCandidates will be considered for a specific level (title) based on their experienceFor CO Residents Only, and in accordance with C.R.S. Sec. 8-5-101 et seq., the estimated base salary range for this role is $115,000 - $203,000 per year. The estimated range is meant to reflect an anticipated salary range for the position in question based upon market data and other factors, all of which are subject to change.  Individual pay is based upon location, skills and expertise, experience, and other relevant factors.  For questions about this, our pay philosophy, and other available benefits, please speak to the recruiter if you decide to apply for the role and are selected for an interview. #LI-EB1#LI-Remote More About UsTo learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts. We Offer the Following Benefits and Perks • Full medical, dental, and vision with optional 85% coverage for dependents • Flexible vacation policy • Generous parental leave • Paid time off to volunteerPlease note that these benefits and perks are available only to Full Time team members and do not apply to contract roles. Opendoor Values OpennessOur team celebrates our diverse backgrounds. We 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 regards 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. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.

Built with ❤️ for the ML Community by Dom © 2022 RemoteML