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OpenTable interview process & guide 2026

Interview difficulty 4.7 / 10Based on 253 interview reports

Everything we know about interviewing at OpenTable: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

Software EngineerAccount ExecutiveMarketing Analytics SpecialistProduct ManagerFrontend EngineerBusiness Analyst
Practice OpenTable questionsSee the process

At a glance

4.7/ 10
Interview difficulty 4.7 / 10
Rated by candidates who reported interviewing here. Harder than 59% of companies we track.
12
Role guides
253
Interview reports
12
Topics tracked
$160k
Median total comp
5 rounds
  1. 1
    Recruiter or HR screening
  2. 2
    Technical assessments
  3. 3
    Technical interviews and system design
  4. 4
    Behavioral and hiring manager interviews
  5. 5
    Final presentation or final assessment
01 · Overview

Interviewing at OpenTable

You should expect a mix of recruiter or HR screens, technical assessments, and interviews that combine problem-solving with role fit. In the reports, communication is often described as structured and timely, but there are also reports of poor follow-through and long silence after submissions or late-stage interviews.

What the process tests is consistent with the topics they ask about in their extracted question data. SQL is the top topic (percentile 100), and system design (percentile 87), data analysis (percentile 84), and spreadsheets skills like Google Sheets (percentile 84), pivot tables (percentile 84), and Excel (percentile 82) are also prominent. They also test Data Structures and Algorithms (percentile 100), and for roles where it applies, they test Product Management (percentile 100), Mobile Engineering on iOS (percentile 100), UX/UI Design (percentile 100), and Go-to-Market strategy (percentile 100).

Your loop can include behavioral interviews and hiring manager conversations, plus technical interviews and sometimes a final presentation or case study depending on the role. Across the reported difficulty distribution, most questions were medium (58.3%), with hard (11.1%) and very hard (2.6%) as smaller slices, and the aggregated offer rate from candidate reports is 0.0%, so do not assume a straightforward conversion path based on volume of interviews.

Good to know

The most non-obvious signal is that spreadsheets and SQL are not just mentioned, they are central: SQL is percentile 100, Google Sheets is percentile 84, and pivot tables are percentile 84, with reports also describing live problem-solving back-to-back around SQL and Google Sheets.

02 · Difficulty and outcomes

How hard is the OpenTable interview?

Aggregated from 253 interview experiences
Difficulty mix
Easy28%
Medium58%
Hard14%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
31%about 1 in 3

About 1 in 3 candidates with a known outcome convert.

76 offers across 245 reports with a stated outcome.
Experience sentiment
44%positive
Positive 44%Neutral 18%Negative 38%
Reports by year
11
19
25
29
14
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

5 rounds · based on 253 candidate reports
  1. 1
    Recruiter or HR screening

    You typically start with a recruiter screen or an HR screening to align on your background and fit for the role, and to cover expectations such as compensation. In reports, this stage may include checking salary expectations and basic role alignment.

    role fit · communication · expectations alignment
  2. 2
    Technical assessments

    Several roles report technical assessments that evaluate the relevant technical skills, including analytical abilities. Reports also describe back-to-back live problem-solving focused on SQL and Google Sheets.

    Same-day or short cycle · SQL · data analysis · Google Sheets
  3. 3
    Technical interviews and system design

    You can expect multiple technical interviews covering coding or live problem-solving, plus system design and problem-solving discussions depending on the role. Data Structures and Algorithms is a top-priority topic in the extracted question data, and system design is also highly prominent.

    Multiple rounds · Data Structures and Algorithms · system design · coding and live problem solving
  4. 4
    Behavioral and hiring manager interviews

    Behavioral interviews are reported to assess cultural fit and collaboration skills, and hiring manager interviews focus on technical skills and team fit. Some reports describe interviewers testing your approach and work philosophy rather than only tricky questions.

    Multiple conversations · behavioral interviewing · collaboration · cultural fit
  5. 5
    Final presentation or final assessment

    Some roles include a final presentation or case study to test strategic thinking and, for sales-related roles, sales acumen. The process can also end with a final onsite or remote assessment involving team members from various departments.

    Final stage · case study · strategic thinking · sales acumen
04 · Topic breakdown

What OpenTable actually tests for

How prominent each skill is across reported loops
100%
SQL
95%
React
87%
System Design
84%
Google Sheets
84%
Data Analysis
84%
Pivot Tables
82%
Excel
73%
Cross-functional collaboration
69%
Problem Solving
60%
Analytical Problem Solving
43%
Behavioral Interviewing
21%
Team Interviewing
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 OpenTable interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
$180k-$200k total comp
Real questions · Loop structure · Pay bands
Open the guide
Account Executive
$55k-$150k total comp
Real questions · Loop structure · Pay bands
Open the guide
Marketing Analytics Specialist
$115k-$128k total comp
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 12 role guides
Business Analyst
$102k-$133k
Open guide
Data Analyst
Questions and loop structure
Open guide
Data Engineer
Questions and loop structure
Open guide
Data Scientist
Questions and loop structure
Open guide
Frontend Engineer
$103k-$145k
Open guide
Mobile Engineer
Questions and loop structure
Open guide
People Analytics Specialist
$120k-$140k
Open guide
Product Manager
$200k-$230k
Open guide
UX/UI Designer
$200k-$275k
Open guide

Real interview experiences

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

Account ExecutiveFrontend EngineerSoftware Engineer
06 · Compensation

What OpenTable pays, by level

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

Median $160k
Level$50kTotal comp range$300kTotal
All levels
Base $58k-$275k
$55k-$275k
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

  • Practice SQL end-to-end, including the specific style you use for analysis and the way you explain your approach out loud. Expect SQL to show up as a core assessment topic.
  • Build fluency in Google Sheets pivot tables and Excel equivalents, and be ready to solve analytical questions using those tools. The topics prominence suggests you should expect them to matter beyond basic familiarity.
  • Prepare for system design and architecture questions even if you are not a pure software role. System design is in the top tier by prominence, and technical interviews are reported as multiple rounds.
  • In behavioral and hiring manager conversations, connect your past work to collaboration and cultural fit, and be ready to discuss technical skills and problem-solving in context. Multiple roles report behavioral interviews and hiring manager interviews as part of the loop.

Avoid this

  • Do not treat spreadsheets as secondary. If you are weak on pivot tables or analysis workflows, you are more likely to struggle because those topics are highly prominent.
  • Do not rely on interviews staying purely conversational or purely coding. The process includes technical assessments, multiple technical interviews, and sometimes a case study or final assessment, so be ready for both breadth and depth.
  • Do not assume timing and follow-through will be perfect. Candidate reports include issues like no-shows, unclear feedback, and long delays after submissions, so plan for uncertainty in logistics.
  • Do not ask for help only at the end. Some reports describe difficulty when interviewers could not clearly explain what went wrong, so it helps to clarify early and keep your reasoning explicit.
08 · FAQ

OpenTable interview FAQ

Answered from real candidate and workplace data
How hard is the interview loop?

From candidate reports, 58.3% of difficulty was medium, 28.1% easy, 11.1% hard, and 2.6% very hard. The data also shows several top-priority topics, including SQL, Data Structures and Algorithms, and Product Management, so expect at least some rounds to be substantial even if many are medium.

Is there an offer at the end?

The aggregated offer rate from candidate reports is 0.0%. That means you should not use the reports to predict success, and you should focus on maximizing performance in each stage rather than expecting a consistent conversion.

What topics should I prioritize studying?

Prioritize SQL first since it is percentile 100. Then focus on system design (percentile 87), data analysis (percentile 84), Google Sheets and pivot tables (both percentile 84), and Excel (percentile 82). If you are interviewing for a role where it applies, also prepare for Product Management (percentile 100), iOS Mobile Engineering (percentile 100), UX/UI Design (percentile 100), Data Structures and Algorithms (percentile 100), and Go-to-Market strategy (percentile 100).

How long is the process and what does the schedule feel like?

The step descriptions mention multiple interviews and assessments, and reports describe processes ranging from a few stages to longer loops. One report describes a remote schedule where interviews were set over about a week, while other reports describe longer timelines including many onsite interviews and multiple round counts.

Do they give clear feedback after interviews?

Candidate sentiment is 43.6% positive, which suggests feedback quality varies. Some reports describe timely and encouraging feedback, while others mention unclear feedback, very brief feedback, or delayed communication after submissions.

Can I reapply if I get rejected?

The supplied data does not say anything about reapplication or waiting periods, so you should not assume there is a standard policy based on these results.

09 · Keep prepping

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