Interview Guides
Everything we know about interviewing at General Motors (GM): the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
What the process looks like, and what General Motors (GM) is really testing for.
GM’s interview loop is structured around multiple checkpoints, with early screening followed by behavioral and technical evaluations. Across the roles in our dataset, you can see phone or recruiter screens, optional one way recorded video, panel-style evaluation, and live interviews that mix behavioral assessment with technical deep dives.
The topics data shows GM places maximum weight on business analysis, STAR method framing, UX/UI design principles, QA engineering, security engineering, Excel (advanced or complex questions), marketing analytics, and project management. Behavioral interviewing and problem solving are also highly prominent, and communication skills plus stakeholder management show up prominently as well.
Based on candidate reports in our dataset, timelines can span multiple weeks and may include gaps between stages. The overall offer rate reported across the candidate reports is 0.4%, and difficulty is mostly medium (63.7%), with 9.3% hard and 1.7% very hard, so you should expect some loops to feel more variable than the topic weights alone suggest.
The STAR method is not just a behavioral requirement, it is listed at the top level in the topics data, so you should consistently structure your answers with situation, task, action, and result across both behavioral and technical conversations.
5 stages, based on 522 candidate reports.
You submit your application online to initiate the process. Some roles in the reports include application submission as the start point before any screening.
You may do a phone interview or a one way recorded video with a recruiter, plus a recruiter focused conversation assessing basic qualifications and fit. The screening emphasizes technical knowledge and problem solving, and in some roles you may also be guided to explain how you would code a solution.
You answer behavioral questions focused on cultural fit, collaboration, and interpersonal skills. STAR method is explicitly highlighted in the topics data, and reports describe STAR expectations showing up across rounds.
You may take technical assessments that evaluate data science, QA engineering, or AI and machine learning expertise. Some candidates also report an automated coding assessment on platforms like Codility, and others move into panel interviews for a comprehensive evaluation.
You complete multiple live interviews, which can include panel interviews and additional behavioral assessments. Candidate reports describe rounds with hiring managers and technical teams, and the loop can include multiple rounds in a day depending on the role.
How often each skill shows up across reported interview loops.
Each guide has the questions General Motors (GM) interviewers actually ask, the loop structure, and total compensation by level.
Estimated total compensation: base salary plus stock and annual cash bonus.
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Read what candidates said about interviewing at General Motors (GM): the loop, difficulty, and outcomes, straight from recent reports for each role.
Answered from real candidate and workplace data, marked up for rich results.
Verbatim snippets pulled from employee and candidate reviews.
Work-life balance can be favorable if you're part of a supportive team.
While the health insurance is good, the company culture is toxic and the base pay is low.
The pay is competitive, and my coworkers are supportive and enjoyable to work with.
Frequent mass layoffs create a sense of instability, occurring almost every month.
The performance-ranking culture negatively impacts morale, and long hours in manufacturing can be challenging.
Good pay and growth opportunities are overshadowed by the demands of long hours.
Companies that hire for the same data roles, with the same depth of prep.
