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Interview Guides/Wave
Wave logo
WaveCompany guide
Updated weekly · Reviewed by the Dataford team

Wave interview process & guide 2026

Interview difficulty 4.8 / 10Based on 509 interview reports

Everything we know about interviewing at Wave: the process stage by stage, what each round tests, and compensation by level.

Software EngineerAccountantAccount ExecutiveData AnalystSite Reliability EngineerMarketing Analytics Specialist

At a glance

4.8/ 10
Interview difficulty 4.8 / 10
Rated by candidates who reported interviewing here. Harder than 67% of companies we track.
15
Role guides
509
Interview reports
12
Topics tracked
$101k
Median total comp
4 rounds
  1. 1
    Recruiter and HR screening
  2. 2
    Take-home assignment
  3. 3
    Live pair programming
  4. 4
    Culture and leadership steps
01 · Overview

Interviewing at Wave

Wave uses a mix of recruiter and HR screening, then coding work, then live collaboration. Across roles, the process includes take-home assignments and live pair programming, plus culture and leadership sign-offs, with systems design showing up heavily alongside programming and data work.

What you are tested on is consistent: problem solving, systems design, data-driven decision making, and stakeholder management. On the technical side, the highest prominence topics are Python, data analysis (general), engineering management, Kubernetes (k8s), Android app development, marketing analytics, AE sales role competencies, and UI development, and you will also see pair programming and take-home projects as major components.

The reported difficulty distribution is mostly medium and a meaningful portion is hard, with very hard present but rare. Offer rate is reported as 0.0% in the candidate reports you provided, so you should treat this guide as about what happens in the loop and how to prepare, not as a predictor of offers.

Good to know

Pair programming and take-home work are central across roles, and systems design plus data-driven decision making are also very prominent, so expect to defend both your implementation choices and your reasoning under collaboration.

02 · Difficulty and outcomes

How hard is the Wave interview?

Aggregated from 509 interview experiences
Difficulty mix
Easy28%
Medium53%
Hard19%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
90%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

457 offers across 509 reports with a stated outcome.
Experience sentiment
93%positive
Positive 93%Neutral 2%Negative 5%
Reports by year
201
35
84
162
24
20222023202420252026
By interview date. The current year is partial.
03 · The loop

The interview process, end to end

4 rounds · based on 509 candidate reports
  1. 1
    Recruiter and HR screening

    You have recruiter and or HR screening calls to discuss your background, interest in Wave, career expectations, and alignment with the role and values. Expect conversational questions about your experience and how you fit the position.

    30-60 min · communication · role alignment · background fit
  2. 2
    Take-home assignment

    You complete a take-home coding assignment to build a functional program from a clear specification. The assignment is described as simulating real production challenges, so your submission should include practical engineering choices.

    Several days · take-home project · problem solving · implementation
  3. 3
    Live pair programming

    You participate in an intensive live session collaborating with a Wave engineer on your take-home code. Be ready to explain your decisions and iterate together during the session.

    1-2 hours · pair programming · systems thinking · debugging
  4. 4
    Culture and leadership steps

    Depending on the role, you may go through cultural fit interview steps, a final culture fit interview, and or a final leadership sign-off. Some roles also include management style assessment and multi-departmental interviews, and final conversations with engineering leaders, product managers, or founders.

    Half day to 1 week · cultural fit · leadership alignment · stakeholder communication
04 · Topic breakdown

What Wave actually tests for

How prominent each skill is across reported loops
100%
User-Centered Design (UCD)
86%
System Design
85%
Research Planning
84%
Infrastructure as Code (IaC)
78%
Usability Testing
75%
Prototyping
68%
User Interviews
65%
Cross-Functional Collaboration
63%
Data-Driven Decision Making
62%
Concept Testing
59%
Problem Solving
34%
Stakeholder Communication
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 Wave interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
$115k-$125k total comp
Real questions · Loop structure · Pay bands
Open the guide
Accountant
6 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Account Executive
6 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 15 role guides
Data Analyst
$70k-$106k
Open guide
DevOps Engineer
Questions and loop structure
Open guide
Engineering Manager
Questions and loop structure
Open guide
Financial Analyst
Questions and loop structure
Open guide
Machine Learning Engineer
$100k-$130k
Open guide
Marketing Analytics Specialist
Questions and loop structure
Open guide
Mobile Engineer
Questions and loop structure
Open guide
Product Designer
$95k-$107k
Open guide
Product Manager
$126k-$201k
Open guide
06 · Compensation

What Wave pays, by level

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

Median $101k
Level$50kTotal comp range$150kTotal
All levels
Base $70k-$130k
$70k-$130k
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

  • Prioritize Python proficiency and data analysis capability, since both are at the top of the topic prominence list. Be ready to explain your approach and tradeoffs, not just produce results.
  • Practice systems design answers that connect to the kind of production constraints you would simulate in a take-home assignment. Your goal is to show problem framing, architecture decisions, and how you would scale or make changes safely.
  • Treat live pair programming as a working session. Come prepared with a clear plan for the next steps in your take-home solution and be ready to iterate based on feedback.
  • Prepare stakeholder management examples that show how you drive decisions with others. Tie your examples to data-driven decision making, since both are highly prominent.

Avoid this

  • Do not focus only on getting code to run. The prominence of systems design, data-driven decision making, and stakeholder management means you will likely be evaluated on reasoning and communication.
  • Do not assume every step is purely technical. Culture fit and leadership sign-off are explicitly listed, so be ready to discuss communication style, alignment, and your working approach.
  • Do not treat the take-home as a one-off artifact. Since live pair programming follows take-home work, make sure you can walk through design choices, assumptions, and how you would improve the solution.
  • Do not ignore the difficulty mix. With 16.4% hard and 2.0% very hard in the reported distribution, you should be comfortable handling ambiguity and more challenging variants of the core topics.
08 · FAQ

Wave interview FAQ

Answered from real candidate and workplace data
What is the overall difficulty like?

Candidate reports show 28.4% easy, 53.2% medium, 16.4% hard, and 2.0% very hard. That means most of what you see will be in the medium range, but you should still prepare for harder problems.

How many rounds are there and what are the main step types?

Across roles, the process includes recruiter or HR screening, take-home assignment, live pair programming, and cultural fit. Some roles additionally include management style assessment, multi-departmental interviews, final conversations, and a final leadership sign-off.

What should I prioritize studying?

The most prominent topics in the extracted data are Android App Development, Python, Data Analysis, Engineering Management, Kubernetes (k8s), Marketing Analytics, AE sales role competencies, and UI Development. Across these, the consistently prominent evaluation themes include data-driven decision making, stakeholder management, problem solving, pair programming, systems design, and take-home projects.

Is there a take-home and will I discuss it live?

Yes. The reported process includes a take-home assignment, and there is also a live pair programming session that collaborates with a Wave engineer on your take-home code.

What is the offer rate from these reports?

In the candidate reports provided here, the offer rate is reported as 0.0%. This number is specific to the dataset you shared, so use it as context about the reporting sample rather than a personal prediction.

Can I re-apply if I do not pass?

Your data does not include re-application or retry policy details. If you want that confirmed, you will need to ask the recruiter for Wave's current policy.

09 · In their words

What people say about Wave

Verbatim snippets from employee and candidate reviews
“Wave is a well-run company with a strong mission and supportive coworkers, dedicated to improving people's lives.”
Software Engineer5.0
“While the fully remote engineering setup can feel isolating, colleagues are always available for calls to connect.”
Software Engineer5.0
“The culture promotes autonomy and utilizes an advanced tech stack, fostering innovation and personal responsibility.”
Data Analyst5.0
“Strong discipline is essential to meet delivery expectations in this dynamic environment.”
Data Analyst5.0
10 · Keep prepping

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On this page0% read
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