The Azure High Performance Computing & Artificial Intelligence (HPC & AI) compute platform team needs to define and deliver the hardware roadmap, software, and services that enable users to run technical computing workloads in Azure, including extreme scale AI training and inference, traditional HPC modelling and simulations, remote visualization, and immersive gaming experiences. The goal is to provide Azure customers with supercomputer-class capabilities to accelerate research, drive competitive differentiation, and solve difficult scientific and industrial problems. The Senior Product Manager will drive the vision and execution of world-class AI infrastructure to empower leading customers and models to achieve breakthrough results with a friction-free experience.
Requirements
- 2+ years experience in product / service / program management or software development
- 5+ years experience in product / service / program management or software development
- 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework) and improving metrics for a product, feature, or experience.
- 2+ years experience managing or leading cross-functional hardware programs involving coordination with multiple stakeholders, tracking KPIs, and enhancing the overall customer experience.
Responsibilities
- Defines the feature set and partners with Design teams to connect multiple design factors (UX, APIs, hardware design) to desired functionality and product vision.
- Anticipates interoperability challenges between different components or layers in the stack, such as UX and API layer differences.
- Collaborates with partner teams to build golden configurations and drives scenario walkthroughs and thought exercises to identify problems, system friction, and needed contingencies in advance of early customer adoption.
- Partners with others (e.g., Data Science, Software Engineering) to define and collect performance metrics, monitor and report on progress, and derive deep insights and drive productive courses of action to improve product/feature development, iteration, and implementation.
- Leverages data and AI tools to analyze user behavior or feedback, working with data scientists or engineering to implement AI-driven improvements.
- Incorporates security factors into design, including logging posture, permissions minimization, and security-by-default principles.
- Owns the roadmap for multiple feature areas, prioritizes the backlog, and aligns with SWE/HWE on tradeoffs.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Excellent written and verbal communication and partnership skills across a diverse set of audiences and stakeholders.
- A growth-mindset that enables creativity in thinking, strong analytical skills, an ability to deal with ambiguity, management of changing priorities, and consistency in learning from others.
- Passion for solving complex problems with engineering solutions that optimize both the product and customer experience.
