RTX Intern - Operations Program Management
Longueuil, QC, Canada·116 interview reviews·Hard difficulty
Intern - Operations Program Management Interview Reviews
116Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Binary Tree Vertical Order Traversal - Return vertical order traversal of nodes”
CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.
“Merge Two Sorted Lists - Merge two sorted linked lists into one sorted list”
The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.
“Tell me about a time you disagreed with a decision and how you handled it”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Valid Parentheses - Determine if the input string has valid bracket pairs”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Intern - Operations Program Management at RTX?
The interview difficulty is rated 3.6/5 by candidates. 75% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
How long does the RTX Intern - Operations Program Management hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 55% of candidates applied online.
What questions are asked in a RTX Intern - Operations Program Management interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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