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Interview Guides/General Motors (GM)
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General Motors (GM)Company guide
Updated weekly · Reviewed by the Dataford team

General Motors (GM) interview process & guide 2026

Interview difficulty 4.7 / 10Based on 522 interview reports

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.

Software EngineerFinancial AnalystQA EngineerData AnalystData ScientistBusiness Analyst
Practice General Motors (GM) questionsSee the process

At a glance

4.7/ 10
Interview difficulty 4.7 / 10
Rated by candidates who reported interviewing here. Harder than 56% of companies we track.
21
Role guides
522
Interview reports
12
Topics tracked
$137k
Median total comp
5 rounds
  1. 1
    Online application
  2. 2
    Initial screening
  3. 3
    Behavioral interviews
  4. 4
    Technical assessments and/or panel interviews
  5. 5
    Live interviews
01 · Overview

Interviewing at General Motors (GM)

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.

Good to know

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.

02 · Difficulty and outcomes

How hard is the General Motors (GM) interview?

Aggregated from 522 interview experiences
Difficulty mix
Easy25%
Medium64%
Hard11%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
54%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

271 offers across 503 reports with a stated outcome.
Experience sentiment
67%positive
Positive 67%Neutral 18%Negative 15%
Reports by year
0
54
205
171
75
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

5 rounds · based on 522 candidate reports
  1. 1
    Online application

    You submit your application online to initiate the process. Some roles in the reports include application submission as the start point before any screening.

    application fit · role alignment
  2. 2
    Initial 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.

    problem solving · technical baseline · fit and qualifications
  3. 3
    Behavioral interviews

    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.

    behavioral interviewing · STAR structured responses · communication skills
  4. 4
    Technical assessments and/or panel interviews

    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.

    technical assessment · coding and debugging · quality assurance/testing
  5. 5
    Live interviews

    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.

    stakeholder management · pressure handling · project management
04 · Topic breakdown

What General Motors (GM) actually tests for

How prominent each skill is across reported loops
96%
Machine Learning (ML)
95%
SQL
93%
Python
85%
Deep Learning
83%
Computer Vision
78%
System Design
76%
Problem Solving
76%
Data Structures
73%
Data Structures & Algorithms
62%
Behavioral Interviewing
61%
Stakeholder Management
36%
Cross-functional Collaboration
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions General Motors (GM) interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
$59k-$243k total comp
Real questions · Loop structure · Pay bands
Open the guide
Financial Analyst
$69k-$120k total comp
Real questions · Loop structure · Pay bands
Open the guide
QA Engineer
$79k-$169k total comp
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 21 role guides
Account Executive
$91k-$249k
Open guide
AI Engineer
$92k-$206k
Open guide
Business Analyst
$72k-$143k
Open guide
Computer Vision Engineer
$94k-$195k
Open guide
Data Analyst
$71k-$147k
Open guide
Data Engineer
$100k-$186k
Open guide
Data Scientist
$105k-$243k
Open guide
Embedded Engineer
$97k-$180k
Open guide
Machine Learning Engineer
$70k-$249k
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Software Engineer
06 · Compensation

What General Motors (GM) pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $137k
Level$50kTotal comp range$350kTotal
All levels
Base $56k-$274k · Bonus $32k
$59k-$311k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Use STAR for every story, even when the question is technical. Make your result specific and connect it to the problem-solving and communication aspects interviewers are screening for.
  • Prepare for business analysis style questions, since Business Analysis (BA) and STAR method appear at 100 percentile prominence in the extracted topics data. Bring examples where you clarified requirements, analyzed options, and documented outcomes.
  • Be ready to discuss stakeholder management and pressure handling. Use concrete examples of how you coordinated with others and how you handled timelines or uncertainty without dropping the technical or business reasoning.
  • If you are interviewing in a data-heavy or analytics track, review Excel advanced or complex questions and marketing analytics topics. Have examples showing how you used these tools or methods to solve real business problems.

Avoid this

  • Don’t treat behavioral only as a separate round. Behavioral interviewing and STAR show up throughout the loop in the topics data, and reports describe STAR expectations in multiple stages.
  • Don’t assume every loop will be only easy or only one format. Difficulty distribution is mostly medium, but hard and very hard are present, and reports describe variability such as harder coding bars and multi panel rounds in some cases.
  • Don’t ramble without tying back to impact. The topics data emphasizes problem solving and communication skills, and reports repeatedly highlight being crisp and structured.
  • Don’t ignore the possibility of recorded video or panel evaluation early on. Some candidates report recruiter video or one way recorded video, so practice explaining your background and approach clearly under time and format constraints.
08 · FAQ

General Motors (GM) interview FAQ

Answered from real candidate and workplace data
How hard is the interview loop, and how is difficulty distributed?

Across the 522 candidate reports, 25.2% of questions were rated easy, 63.7% medium, 9.3% hard, and 1.7% very hard. The reports also suggest some loops have higher variance, with cases like harder coding, embedded system leaning formats, and multiple panel rounds.

What is the offer rate for candidates?

In the provided candidate reports dataset, the overall offer rate is 0.4%. Positive sentiment is 66.7%, but that does not change the low offer rate.

How long does the process take?

Candidate reports describe loops over a few weeks, and another report mentions longer timelines with gaps between stages. The dataset does not provide a precise step-by-step duration, so plan for multi-week scheduling and potential gaps.

What should I prioritize for preparation?

Prioritize Business Analysis and STAR method, since both are at 100 percentile prominence in the topics data. Also prepare for UX/UI design principles if relevant to your role, QA engineering and testing concepts, security engineering, Excel advanced or complex questions, and marketing analytics, since all appear at 100 percentile prominence.

Will I have coding or technical assessments?

Some roles report automated coding assessments on platforms like Codility, and reports mention LeetCode style problems. Other roles report technical assessments for AI and machine learning expertise, and panel or live interviews with technical follow ups, but the exact mix varies by role.

If I do not get an offer, should I reapply?

The supplied data does not include any explicit reapplication policy. Since the dataset only covers interview loops and outcomes, you would need to check GM’s specific guidance through your recruiter or job posting.

09 · In their words

What people say about General Motors (GM)

Verbatim snippets from employee and candidate reviews
“Work-life balance can be favorable if you're part of a supportive team.”
Software Engineer1.0
“While the health insurance is good, the company culture is toxic and the base pay is low.”
Software Engineer1.0
“The pay is competitive, and my coworkers are supportive and enjoyable to work with.”
Software Engineer4.0
“Frequent mass layoffs create a sense of instability, occurring almost every month.”
Software Engineer4.0
“Eliminating the performance-ranking system could help restore employee morale.”
Software Engineer4.0
“GM offers competitive pay and benefits along with significant opportunities for career growth.”
Software Engineer4.0
10 · Keep prepping

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