Support Operations Analyst

Posted:
11/12/2025, 2:03:21 AM

Location(s):
Watertown, Massachusetts, United States ⋅ Massachusetts, United States

Experience Level(s):
Junior

Field(s):
Operations & Logistics

Workplace Type:
On-site

The Company:
We understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts — a Tutor Intelligence.
Founded by MIT alumni and backed by the best investors in AI and robotics, Tutor is building the world's largest fleet of generally capable robot workers for American factories and warehouses.

Job Summary:
We’re hiring a Support Operations Analyst to strengthen our operational backbone by improving the systems, data, and processes that power our robot operations and customer support teams. You’ll work closely with the Support Manager and Engineering to ensure we have accurate metrics, efficient playbooks, and smooth incident-handling workflows across all shifts and sites.

This is a data-driven, high-impact role for someone who thrives on operational clarity. You’ll build dashboards, monitor key performance indicators, investigate recurring issues, and help design better processes for our remote and on-site operator teams. Your work will directly shape how we deliver reliable, 24/7 robot operations and world-class service to our customers.
Tutor offers competitive benefits including fully employer-covered health and dental insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.

Tutor Intelligence

Website: https://tutorintelligence.com/

Headquarter Location: Cambridge, Massachusetts, United States

Employee Count: 1-10

IPO Status: Private

Last Funding Type: Pre-Seed

Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning ⋅ Robotics