Opendoor Careers in USA
Opendoor
Operations Coordinator – Listings
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Location: Phoenix, AZ
Estimated Salary: $54.9K – $69.5K a year
Job Type: Full Time
Qualification Required: 2+ years in strategy, operations, or program/project management.
Responsibilities:
- Be tenacious about ensuring our team successfully completes tasks to list a home
- Work daily with internal teams to communicate information crucial to listing homes on time
- Diagnose underlying issues and process failures when errors are discovered
- Monitor key metrics on a daily, weekly and monthly basis, diving into root causes to understand and address emerging trends
- Manage a remote team of contract employees to support questions, blockers and ensure each team member is successful in their role
- Support team projects and goals on a quarterly cycle
- Develop, maintain and provide context on team metrics
- Prioritize projects from managers, team members and individuals across the organization that align with team goals and metrics
About Company:
Founded 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 Career:
Opendoor Careers, We are looking for an individual to join our team to manage and improve Opendoor’s national listings. As a Listings Program Coordinator, you will be responsible for metric performance, process optimization, and managing a team of contract employees. We work closely with cross functional teams to ensure all processes are running smoothly, as well as determine how we can develop new processes to improve existing operations. The ideal candidate will be able to drive process improvements for scalability, flex their analytical skills to dive deep on performance trends, and nimbly triage blockers so that we can achieve our performance goals.
Bonus points if
- Excited by operational process and challenges, with a knack for uncovering how to make things work, even with limited resources
- Willing to roll up your sleeves and do“whatever it takes” to solve the problem
- Customer-centric: you care deeply about every customer interaction and the experience of all buyers and sellers
- Always curious of how processes and teams interact and of where areas of improvement still remain
- An analytical thinker who can tell the story behind metrics and show trends through data points
- Hungry and energetic to hit ambitious goals
- A strong and structured communicator, both verbally and in writing
- Driven by seeing improvements in metrics, launching new processes and reducing pain points for internal and external customers
- Highly self-motivated, have a stellar work ethic and you’re looking for the right company to see your impact
Benefits:
Full medical, dental, and vision with optional 85% coverage for dependents
• Flexible vacation policy
• Generous parental leave
• Paid time off to volunteer
More Details >>> Click Here
More Jobs in Opendoor :
- Head of Resale Strategy – Research & Data Science
Role Responsibilities
- Build and lead a team of 5+ Ph.D. level Research Scientists tackling high-impact, high-complexity structural modeling challenges in core pricing
- Develop new algorithmic techniques and datasets that will enable answering previously unanswerable and new questions
- Partner closely with engineering, product, and operations stakeholders to deliver on key cross-functional modeling efforts that have a company-wide impact
- Continue to scale and up-level a highly-committed team via rapid hiring, functional practices, and a culture of excellence
Skills Needed
- 5+ years of experience in modeling complex phenomena, regardless of training or domain (our team ranges from computational biologists to physicists to econometricians)
- 3+ years of management experience, including managing top-tier research scientists, statistician and ML scientists
- Exceptional ability and judgment in structural modeling, preferably with experience in at least one of the following: stochastic modeling, spatiotemporal modeling, auction theory, portfolio optimization, macroeconomic modeling
- Exceptional ability to translate between business and technical audiences, especially in summarizing highly technical analyses to non-technical audiences
- Demonstrated self-sufficiency in complex data environments: operating knowledge of key programming languages (SQL, Python, etc.), tools (Spark, Jupyter, etc.), and so on
- Passion for people-first management
2. Senior Product Designer
Skills Needed:
- A strong understanding of interactivity and the web, and the fundamentals of information architecture, hierarchy, and layout
- Experience with working on landing pages and evolving them for different customer segments
- Ability to effectively communicate and lead discussions with other disciplines to ensure the visual design is communicating the desired message
- Experience with working with research and engineers to align on a research and testing plan and create a well defined roadmap to execute on.
- Excellent working knowledge of design software Figma, Prototyping, Light Medium experience with animation/video editing to further illustrate interactions/experiences
- Experience working on design systems and contributing to processes to align teams to adhere to design principles
- Strong ability to give & take clear direction and feedback with teammates
- Positive attitude and flexible, collaborative approach
- Strong portfolio with engaging, diverse designs and use cases/project types, demonstrating a passion for design
- BA/BS in Visual Arts, Design, Communication or other related discipline preferred, or relevant work experience.
3. Staff Product Designer Job
Responsibilities
- Ideate: Work with Product, Engineering, Research, and Operations to design and visualize the future of our end-to-end customer experience.
- Research: Partner with User Experience Research to conduct user interviews and determine common pain points, product improvements and priorities. Conduct light-weight research independently to inform design decisions.
- Create: Design information architecture diagrams, wireframes, flows, and high-fidelity mock-ups for your features.
- Communicate: Showcase your vision and rationale behind design decisions to stakeholders and your team.
- Collaborate: Work closely with Product, Engineering, and Operations to validate the feasibility of your work and the ensure high-quality implementation.
Skills Needed
- Experience: At least 8 years of relevant experience as an individual contributor on an in-house product design team.
- Portfolio: A portfolio with native and/or web projects that highlights your approach to problem solving, as well as the solutions themselves. Case studies should demonstrate your skills in research, user experience, visual design, and interaction design.
- Communication: Excellent communication and storytelling skills, in writing and in speaking. Has a well-defined design process.
- Teamwork: Experience partnering with Product, Engineering, and Research to craft broader product strategy.
4. Senior Software Engineer – Data Job
Role Responsibilities
- Processing large amounts of real estate and transactional data in batch and real time to generate a highly accurate world class data set.
- Understanding how to quantify uncertainty with our data.
- Deriving fields from unstructured data (e.g. extracting data from home photos and satellite images with computer vision algorithms and extracting data from MLS remarks with natural language processing).
- Performing analysis to ensure our datasets are robust and reliable for machine learning and business use cases.
- Working with data processing technologies such as Spark, Airflow, Pytorch, Jupyter, and Pandas
Skills Needed
- Bachelor’s degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
- 4+ years of track record in building and delivering production quality software systems
- A deep understanding of data processing technologies such as SQL, Spark, Hadoop, and Kafka
- Experience with Airflow, Luigi, or other ETL scheduling technologies
- The ability to propose and test hypothesis to problems, and drive toward the best solution whilst starting with incomplete information
- Experience with building resilient and reliable systems or data pipelines
- A focus on rapid delivery without sacrificing technical excellence
5. Senior Engineering Manager – Pricing
Responsibilities
- Help build and lead great software teams to deliver world-class products
- Support and grow your direct reports and peer teams
- Champion engineering and data science, establishing metrics and process for regular assessment and improvement
- Provide technical leadership and guidance to both your team members and your project peers
- Working closely with product and data science, help engineers gain business context, improve prioritization skills, and hone their craft
- Promote an engaged, product-focused, positive engineering culture
- Uncover better ways of developing software by doing it and helping others do it
Skills Needed
- BS or higher degree in Computer Science, Engineering, or a related technical field
- Quantitative experience, either via previous job experience or a degree in Mathematics, Statistics, or a related field
- 4+ years of experience building production software systems
- 5+ years managing data related products (ads, recommendations, fraud)
- Fluency in full stack web development (e.g. React, API design, Rails, Postgres)
- Prior experience with data processing technology (e.g. Spark, Hadoop) and workflow management tools (e.g. Airflow, dbt)
- Proven ability to use data and metrics to drive decisions
- History of independently leading cross-functional projects and prioritizing work based on business impact
- Ability to understand the needs of stakeholders, define business requirements, and architect systems that will scale and extend to accommodate them over time
- Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements
- A sense of ownership and a passion for delighting customers through innovation and creative solutions to complex problems
- Excellent communication skills and high attention to detail
- Experience hiring, mentoring, and leading teams of full stack, backend, and MLEs
6. Senior Machine Learning Engineer
Responsibilities
- Working with product, engineers, and data scientists to contribute to all phases of software development including ideation, prototyping, design, and production.
- Building products and services from scratch, as well as evolving existing systems using Spark, AWS, Databricks, and python.
- Developing tools to support the unique challenges of pricing homes at Opendoor, such as custom human data labeling tools or a workflow orchestrator.
- Applying your technical and quantitative expertise to guide the team in making intelligent, scalable, and pragmatic design decisions.
- Influencing the technology and architectural roadmap of the engineering teams.
- Playing an active role in hiring and mentoring other engineers.
- Building deep domain expertise in pricing and real estate.
Skills Needed
- BS or higher degree in Computer Science, Engineering, or a related technical field.
- Quantitative experience, either via previous job experience or a degree in Mathematics, Statistics, or a related field, or continuing studies, such as online courses and certifications.
- Proven ability to design and build production-quality software systems.
- Excellent programming skills in Python.
- Experience developing models in a deep learning framework such as pytorch or tensorflow, or with SparkML or SageMaker.
- Experience in different phases of the ML project lifecycle, including experimentation, EDA, model training, model deployment (batch and/or real time ), AB testing, and monitoring model quality in production over time.
- Proven ability to use data and metrics to drive decisions.
- History of independently leading cross-functional projects and prioritizing work based on business impact.
- Ability to understand the needs of stakeholders, define business requirements, and architect systems that will scale and extend to accommodate them over time.
- Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements.
- A sense of ownership and a passion for delighting customers through innovation and creative solutions to complex problems.
- Excellent communication skills and high attention to detail.
7. Product Designer Job
Responsibilities
- Build and evolve models that drive massive customer impact
- Identify opportunities at all stages of the modeling lifecycle, including new models, new data sources, enhancements to models, and rapid feedback loops
- Provoke trade-offs and prioritize work across a portfolio of potential projects based on impact and scope vs. effort and risk
- Produce convincing structural and data-driven analyses to falsify ideas or move them forward
- Clearly and concisely articulate the business impact of your work
- Work pragmatically at a high cadence to ship modeling opportunities, such that we generate high learning throughput
Skills Needed
- 7+ years of industry experience designing, developing and shipping ML systems post academia
- Advanced degree in a quantitative field
- Adeptness in working with any kind of data (structured, unstructured, scraping, database tables, etc.)
- Ability to create machine learning models to solve business problems, applying excellent business judgment and orientation toward impact
- Proficiency in a programming language to be able to solve a business problem in a full-stack, data-driven way (scraping data, ETL, web-hosted ML model)
- Ability to quickly (1-2 weeks) build proofs of concept and identify the highest-leverage areas to iterate efficiently
- Desire to identify, perform, and automate laborious work (e.g. hand-labeling 100 examples to understand the job at hand, then systematizing the process)
- Strong knowledge of statistics
- Highly effective verbal and written communication skills
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