AI Ops Associate - Accelerate Automation & Impact

Loop; Buffalo (NY); On-site; USD 80,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Paid holidays

Parental leave

Job summary

Loop is seeking a data‑driven professional to join its AI ops initiative, owning automation and intelligence systems as Loop scales them for clients. You will work closely with engineering, product, and operations to drive adoption and measurable value.

The role emphasizes translating complex technical work for diverse users, with an onsite 4+ days per week expectation in major U.S. tech hubs.

Qualifications

• College degree with a quantitative background in analytics, finance, economics or STEM.
• Balance eagerness to learn with the ability to execute and solve tough problems.
• 1+ years of work experience in technology, data analysis or other technical fields.
• Team player with enthusiasm for joining a fast-growing company.
• Bonus points for advanced Excel, SQL, Python or automation experience.

Responsibilities

• Accelerate Loop’s ability to deliver new product surface for global brands by understanding customer outcomes.
• Embed with customer, product, and operations teams to deliver increased value.
• Partner with AI engineers to deploy systems that automate workflows and reduce manual work.
• Demonstrate execution skills and deep knowledge of Loop’s product offerings.
• Build and maintain relationships with internal stakeholders to ensure value delivery.

Skills

Analytical mindset

Quantitative background

1+ years experience

Team player

Problem solving

Learning agility

Education

Bachelor's degree in analytics/finance/economics or STEM

Tools

Excel

SQL

Python

Job description

Loop is seeking a data‑driven professional to join its AI ops initiative, owning automation and intelligence systems as Loop scales them for clients. You will work closely with engineering, product, and operations to drive adoption and measurable value.

The role emphasizes translating complex technical work for diverse users, with an onsite 4+ days per week expectation in major U.S. tech hubs.