Product Manager Ii

The E+D Growth team is a multi-disciplinary team of 150 people in Dublin, Ireland, spanning Software Engineering, Product Management, Data Scientists, and Designers committed to delivering cross-Microsoft experiences to drive AI adoption and growth with our commercial customers.

Our team’s charter is to ensure hundreds of millions of users at work to discover and love Copilot. We work with many teams across Microsoft, and this role needs someone who is great at working in a large software organization to partner with other app teams to align on priorities and projects. The candidate must ideate and deliver contextually relevant and delightful ways in which IWs can see how AI can change the way they can get core jobs done at a scale that reaches many millions of users with each feature. And we seek people with growth mindsets who just naturally act as role models and drive improvement to team culture.

If you’re solid at driving organizational alignment and communication, great at user experience design and experimentation, and have a track record of driving impact, we want to hear from you.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• Create partnerships across with other teams across Microsoft that unlock paths to deliver features across different app experiences.
• Be the type of person that every partner team wants to work with… yet represent our team’s goals and schedule at the same time.
• Show world class UX feature delivery as you personally also design, spec and work with feature crews on UX features that drive adoption of Copilot
• Anticipate and overcome technical challenges in the delivery of your experience.
• Demonstrate excellence in data, with forecasting and experiment design and analysis. Collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas.