Oracle DataScience - Principal Product Manager in Culver City, California
DataScience - Principal Product Manager
The Oracle Autonomous Data Science Cloud is a high-quality cloud service that enables enterprise data science teams to build, train, deploy, and manage models on the Oracle Cloud. It provides a workbench to centralize, organize, and manage data science work; access to cutting-edge Oracle Cloud compute and data sources; and ModelOps workflows to increase overall quality and quantity of candidate models ready for production.
With ODSC, teams of data scientists from major Fortune 100 companies can deliver results to production faster and with more confidence.
For this particular Product Manager position, your role will be more focused on providing product directions around distributed computing and data lake technologies.
Within the Oracle Autonomous Data Science Cloud team, you will
Develop overall product strategy based on measurable business value that aligns with overall strategy of the Oracle Autonomous Data Science Cloud
Research the competitive landscape and conduct user interviews at customers and prospects to determine market needs
Develop an aggressively prioritized product roadmap by collaborating with engineering, marketing, and other stakeholders
Lead the complete product development lifecycle in an agile environment from user-story driven product requirements to product delivery
Enable internal field sales and support organizations for new releases or product launches through documentation and training
Plan and execute product announcements and help coordinate alpha/beta testing of new releases
Drive internal and external adoption of our technologies
Help build, coordinate, and maintain relationships with key customers
Present the product vision and demonstrate capabilities to customer C-suite and at large-scale conferences
3 years of experience in a product management role on a product serving enterprise Fortune 100 companies, OR 3 years of practical experience solving data engineering problems at scale
B.S. in Statistics, Computer Science, Math, Physics, Economics, or another quantitative field
Deep understanding of the data science and machine learning space
Experience with distributed systems (“Big Data”) in the machine learning sphere: Hadoop and any of its commercial versions (Cloudera, Hortonworks, Mapr). Experience with Spark is a must.
Experience with container technology (Docker) and orchestration technologies such as Kubernetes
Experience building data lakes in the cloud or on premises
Strong verbal and written communication
Passion for building outstanding products
Additional desired qualifications:
M.S. or Ph.D in a quantitative field, or MBA
Experience leading teams using an Agile software development methodology
Exceptional communication and presentation skills. You should be comfortable presenting to C-level executives, research analysts, as well as speaking at major conferences.
Expertise with Python and machine learning libraries
Expertise delivering deep learning models trained with TensorFlow, Pytorch, mxnet, or others
Experience training and deploying models on GPUs and/or experience with high performance computing technologies
Experience with Kubernetes-native distributed training technologies, such as kubeflow or dask
Experience deploying scalable machine learning models as RESTful web services
Contributions to open-source projects or impressive Kaggle profile
Detailed Description and Job Requirements
Lead a team that acts as the central resource and driving force for the design, process, manufacturing, test, quality and marketing of product(s) as they move from conception to distribution. Organize interdepartmental activities ensuring completion of the project/product on schedule and within budget.
As a member of the product development division, you will analyze and integrate external customer specifications. Suggest and justify product directions and specifications. Specify, design and implement moderate changes to existing software architecture. Build new products and development tools. Build and execute unit tests and unit test plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering to discuss major changes to functionality.
Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience.
Job: Product Development
Location: US-CA,California-Culver City
Job Type: Regular Employee Hire