Senior Product Manager, MAI Platform

Microsoft•Redmond, WA

60d

About The Position

Work in our team is unique in that you'll be able to work with trillions of documents, which pushes the boundaries of our infrastructure and computational resources. Research, design and establish metrics for success and measurement methodologies. Create strategies for collecting training data for next generation document understanding models that are multi-modal. Establish methodologies for Deep Learning and AI infrastructure and platform support than engineers can use. Build and develop relationships with internal and external partners to ensure improvements benefit end user scenarios. Perform user studies, propose experiments and write specifications for features that need to be productized. Drive projects to completion in a timely manner. Prioritize requirements and do multi release planning. Continuous research and education around AI trends and new AI product developments as these evolve. Manage Product launch roadmaps by partnering with stakeholders to create technical content. Embody our culture and values.

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development
2+ years of experience working with Big Data, Machine/Deep Learning, Artificial Intelligence, Natural Language Processing or Data Mining.
Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
Outstanding analytical skills.
Ability to quickly adapt to new technology and go deep in new focus areas.
Excellent oral and written communication skills with the ability to collaborate effectively with a large number of partners and customers and translate requirements into a product vision and roadmap.
Attention to detail, planning, organization, and project management skills.
The ability to problem solving and conflict-resolution skills across a set of technical, product, and business challenges.
Experience working in a rapidly-scaling environment with multiple variables in play.

Nice To Haves

1+ years of experience with A/B testing, experimentation and data analysis.
Search industry experience is preferred.

Responsibilities

Research, design and establish metrics for success and measurement methodologies.
Create strategies for collecting training data for next generation document understanding models that are multi-modal.
Establish methodologies for Deep Learning and AI infrastructure and platform support than engineers can use.
Build and develop relationships with internal and external partners to ensure improvements benefit end user scenarios.
Perform user studies, propose experiments and write specifications for features that need to be productized.
Drive projects to completion in a timely manner.
Prioritize requirements and do multi release planning.
Continuous research and education around AI trends and new AI product developments as these evolve.
Manage Product launch roadmaps by partnering with stakeholders to create technical content.
Embody our culture and values.