WHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
OVERVIEW
There couldn't be a better time to join Alo's Retail Operations team. As we continue the rapid global expansion, our Retail Tech Enablement team sits at the center of our growth, enabling scalable store operations, labor efficiency, and a consistent, elevated customer experience across every region we operate in.
This role is an enterprise leader responsible for defining, scaling, and executing Alo’s global WFM and Retail Operations strategy through WFM & scheduling platforms. This role is at the forefront of driving consistent global execution through aligned labor scheduling practices brought to life through our scheduling platform. This team drives labor scheduling tool improvements, labor model architecture optimization at scale, and aligns our auto-scheduling capability to our retail operating model.
RESPONSIBILITIES
WFM Platform Strategy
Technology and Scheduling, and Labor Model Architecture
People Leadership & Talent Development
The base salary range for this position is $145,000-$160,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
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🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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