Industrial Analyst - Business Operations
Regrello - Mexico (Remote)
Posted Dec 23, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Industrial Analyst - Business Operations Mexico (Remote) The Venture We are a 25-person startup that was founded to reimagine supply-chain automation. It is an Amazon-sized opportunity with a market size of $220 Billion where $15T of physical products are manufactured, bought, and sold annually that has been overlooked for over 20 years. The founding team has experience building billion-dollar companies and includes veterans from Facebook, Apple, McKinsey, Slack, Zillow, and Palantir. We have large Fortune 500 customers and are funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). Unlike most startups, our contracts are long-term and we have 4 years of runway to get to the next level. Culture and Compensation We are a customer-obsessed, product-centric company that is building a flexible, remote culture to enable the brightest minds in the industry. You can live anywhere in the US, Canada, and Mexico. We have industry-leading compensation packages. We are willing to sponsor US work authorization if needed. The Problem We Solve We are focused on improving cross-company collaboration and work processes in an industry that primarily relies on email, PDF, and Excel to orchestrate work. Think Trello or Asana but with a powerful workflow engine and the ability to collaborate both internally and externally. We are building a no-code collaboration platform where businesses can build and manage their processes and work without code or IT. We also see opportunities for ML-driven optimization that can further automate the supply chain, but we're not focused on
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