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AI Operations Associate

San Francisco, New York, Chicago

About Loop

Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves >20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.

We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.

Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.

About the Role

Loop is building an AI ops team that will own key automation and intelligence systems as Loop builds and scales them across its customer base. We are disrupting traditional operations with AI powered workflows that create 100X leverage for users, turning operators into analysts.

Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across Loop’s user base.

This role requires a deep understanding of our systems and their users (internal and external), the ability to translate complex technical work to everyday users, and ruthless problem solving.

This is an in-person role based in Chicago, San Francisco, or New York City, with the expectation of being onsite 4+ days per week.

What You'll Do

  • Accelerate Loop’s ability to deliver net new product surface for global brands by deeply understanding and learning how we drive customer outcomes
  • Embed with customer, product, and operations teams at some of the largest companies in the world to deliver increased customer value
  • Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and delight customers and users
  • Demonstrate a deeply substantive execution skill set, knowledge of Loop’s product offering, and how it solves our customers pain points
  • Build and maintain relationships with internal customer-facing stakeholders, ensuring that Loop is focused on delivering value for them.

About You

  • You have a college degree with a quantitative background in analytics, finance, or economics or STEM similar
  • You balance an eagerness to learn with the ability to execute and enjoy solving tough problems
  • You have 1+ years of work experience in technology, data analysis or other technical and quantitative fields
  • You’re a team player and excited about the opportunity to be an early employee at a fast-paced, fast-growing company
  • Bonus points if you have advanced excel skills and SQL, Python or other programming skills, or experience vibe coding/building automations

Compensation and Benefits

The base pay range for this role is $80,000 to $125,000 annually. This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire. Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.

In addition to base salary, this role may be eligible for equity. This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.

Equal Opportunity

Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

 

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