Microsoft Principal Product Manager 

Taiwan, Taoyuan City 

931281757

and that our products will define the AI era. We run lean, obsessusers, and always make our decisions based on the evidence. We ship regularly, so your work will havea time of huge change in the AI landscape, and this role will put you right in the heart of it.

looking for someone witha technical

is responsible foris responsible forleading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design and AI Research teams. This role requires a balance of technical skills and effective stakeholder management skills.

As an experienced Principal Product Manager for Data & Insights on the Copilot team, you will balance creativity, curiosity, technicaland passion for AI to drive projects to successful completion. You will collaboratively work with data scientists, AI researchers, engineers, designers, and product managers to take ambiguous projects and mold them into amazing experiences to delight our customers. Your products enable language models that power Microsoft Copilot. You willbe responsible fordriving the product vision and strategy, collaborating with cross-functional teams to define requirements, prioritize features, and ensure successful product launches in a fast-paced setup. Your role will involve ensuring privacy, safety and security of data, stakeholder management, and the ability to make data-driven decisions that align with the company’s goals

By applying to this U.S. New York, New York position, youare required tobe local to the New York area and in office 3 days a week.

Required Qualifications:

• Bachelor’s Degree AND 8+years experiencein product/service/project/program management or software development
  • OR equivalent experience.
• Proficient analytical and problem-solving skills with a focus on actionable insights, coupled with outstanding communication abilities.

Preferred Qualifications:

• Bachelor's Degree AND10+ years of experience in product/service/project/program management or software development
  • OR equivalent experience.
• Experience with data analytics and experimentation tools.Experiencewith SQL and coding skills (Python,Javascript).
• Experience leading product teams building consumer products in personal productivity, search,educationor messaging.
• Experience building consumer productsleveragingMachine Learning or Large Language Models.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until July 17, 2025.

• Own a product area andbe responsible forunderstanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
• Spin the Data Flywheel: Enable qualitative and quantitative data insights from billions of data points to uncover issues and opportunities and share recommendations to lead to direct product improvements. Work with AI teams and feature teams to transform learnings into direct model improvements.
• Orient the Success Metrics: Influence our NorthStar metrics (successful sessions, active users, revenue, etc.) and how we measure the success of Copilot.
• Evangelize learnings to drive impact: Share Data and Product Analytics Insights as part of your stakeholder engagement.
• Orientthe overall Copilot product strategy: Use metrics and insights to influence the broader Copilot product roadmap.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Data Engineers and AI model training teams.
• Define goals and performance indicators, set up and oversee experiments, measuresuccess with data and research.
• Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
• Embody ourand.