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As a Lead Workday Integration Engineer, you will collaborate with stakeholders to develop scalable integration solutions using Workday technologies. Your responsibilities include designing and building custom applications, performing rigorous testing, analyzing integration landscapes, and ensuring efficient processes through automation and error handling.

As a Technical Program Manager at Snap Inc, you will lead cross-organizational engineering projects, manage cloud operations, and drive infrastructure improvements while ensuring operational excellence. Responsibilities include maintaining roadmaps, tracking project schedules, and fostering collaboration with internal customers and cloud providers.

As an Engineering Manager in Content Infrastructure at Snap Inc, you'll manage a team of full-stack developers, set strategies, and collaborate with other teams. You will focus on leading and mentoring your team to deliver on high availability and mission-critical systems while working in a fast-paced environment.

The Lead Product Researcher will design and execute quantitative research studies, collaborate with cross-functional teams to enhance product development, and advocate for user-centered design practices. Responsibilities include creating research plans, analyzing results, and presenting actionable insights to stakeholders.

The Product Manager, Ad Ranking at Snap Inc. will develop and launch machine learning-driven products for advertisers, ensuring alignment with user experience. Responsibilities include managing product roadmaps, collaborating with stakeholders, reviewing project priorities, and gathering feedback to inform product enhancements.

This role involves leading high-growth agency programs to drive revenue growth in Snap's Small and Medium Customers sector, establishing strategies, conducting performance analysis, and collaborating with cross-functional teams to develop, deploy, and scale business solutions.

As a Principal Machine Learning Engineer, you will lead the technical roadmap for Snap's Ad Marketplace, designing and scaling machine learning models to enhance ad efficiency, collaborate with teams on machine learning strategies, and ensure operational excellence throughout the system.