The findings highlight opportunities and challenges in designing humancentered algorithmic work assignment, information, and evaluation as well as the importance of supporting social sensemaking around algorithmic systems. We use the findings to discuss how algorithms and data-driven management should be designed to create a better workplace with intelligent machines, offering implications for future work.