Outbound Product Manager in Machine Learning

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Responsibilities

Share your passion for Machine Learning and helping customers solve business-critical problems. Evangelize the benefits of in-database machine learning, which industry analysts recognize as offering superior performance and reduced solution complexity. Bringing the algorithms to the data and eliminating data movement make for a more efficient machine learning solution pipeline.

The Oracle Machine Learning team is responsible for setting the strategy and delivering machine learning tools and services to Oracle’s database customers. Oracle Machine Learning empowers customer teams to deliver data-driven solutions with a focus on enterprise scalability and ease of development, deployment, and integration. OML provides SQL, R, Python and REST APIs, no-code user interfaces, including AutoML, and RESTful services for model management, deployment, and monitoring. Oracle Machine Learning is part of the fast-growing Oracle Database Cloud, which includes Oracle Autonomous Database, Oracle Database, and Oracle Database Cloud Service.

This team is seeking a dynamic and creative Outbound Product Manager to support go-to-market (GTM) execution and drive customer adoption and growth. As an outbound-focused product manager, you'll guide and assist our customers to realize the benefits of the Oracle platform, and specifically, the Oracle Machine Learning product family. Your primary goal will be to help accelerate the adoption of machine learning across all regions through interactions with customers, partners, and internal sales and consulting groups. Help develop positioning/messaging, and lead outreach efforts to develop customer relationships. Collaborate with Oracle Cloud and Database business development, solution architects, and account managers with a focus on adoption and customer success. Engage with customers ranging from startups to Fortune 500 companies to accelerate their journey to the powerful features of Oracle Machine Learning.

The successful candidate will have a background that enables exploring customer problems and challenges, drive a customer engagement from first engagement through successful deployment and customer reference. Engage with executives and LOB managers, as well as machine learning teams to solve their business problems using Oracle Machine Learning. This candidate understands customer needs and communicates value propositions relevant to customers for Oracle Machine Learning technical products. The candidate will work effectively with stakeholders in development, marketing, business development, and sales to put plans into action.

Work you’ll do includes:

1. Engage in customer development from initial discovery through solution deployment and customer reference.
2. Contribute to product evangelization through, e.g., conference and user group presentations, social media, blogs, and videos.
3. Understand customer needs to best position Oracle Machine Learning offerings to meet those needs.
4. Develop customer references and craft success stories and solution briefs.
5. Contribute to outreach plans for Oracle Machine Learning to establish customer relationship and trusted advisor status with key users
6. Work with product marketing teams to align messaging to the core product value proposition, with the aim of developing the market and enhancing the pipeline.
7. Work with regional sales and business development teams to enhance sales plays and programs, to provide periodic training and support to regional sales ecosystems, and to perform win-loss analysis.
8. Work with partner teams to develop and enhance partner ecosystems.

What you'll bring:

• BS/MS in Computer Science, Data Science, or related technical background
• 5+ years of product management, product marketing, or equivalent go-to-market experience, preferably in machine learning and data science with enterprise computing, database technologies, and cloud infrastructure
• 5+ years’ experience in crafting technical product positioning, messaging, content, and programs
• Demonstrated ability in product evangelism, engaging with customers (management, data scientists, and application developers), and developing satisfied referenceable customers
• Social media skills and presence across multiple platforms
• Technical skills, including machine learning techniques and processes, and SQL, Python, and R languages, and familiarity with Oracle Database and Oracle Cloud technology
• Deep knowledge of the machine learning products market
• Well-honed analytical skills, comfortable working with data and developing insights from it, experience establishing and tracking program metrics, and experience measuring and communicating results of outbound activities, and an aptitude to learn new technology
• Excellent presentation and written communication skills
• Travel: 0-25% (flexible)