Kabbage Interview Guide
Everything we know about interviewing at Kabbage: the process stage by stage and what each round tests.
Interviewing at Kabbage
What the process looks like, and what Kabbage is really testing for.
You can expect a multi-stage loop that mixes recruiter screening with team and leadership conversations, plus technical depth in the middle. Based on the reported process steps, you will talk to team members more than once, and you will also have interviews that include both technical discussion and behavioral or cultural fit checks.
The questions data points to a consistent technical core across many role types: SQL is prominent, as are Data Structures and Algorithms, and API fundamentals. You should also prepare for technical areas called out as very prominent, including Test Automation, Machine Learning concepts, Data Engineering, and Sales Communication mock calls, plus tool-level preparation like Selenium and writing product requirements or stories.
In terms of what happens after, the reported stages end with offer discussion, so the process is designed to culminate in compensation and terms being discussed if you clear prior rounds. From the candidate report data provided here, overall offer rate is 0.0%, so while many candidates report positive sentiment, you should treat the likelihood of an offer as unknown from this dataset and focus on executing strongly in each stage.
The interview topics show a dual emphasis: you will likely be evaluated on core engineering and data skills (SQL, algorithms, APIs, data engineering, and even Selenium/test automation), and you will also be tested on communication and requirements work (Sales Communication mock calls, and product requirements or story writing).
The Kabbage interview process
5 stages, based on 175 candidate reports.
Recruiter phone screen
Not specifiedYou will have an initial call conducted by a recruiter to assess your background and role fit. Use this time to align your experience with the role and be ready to discuss why you are a fit for the position they are hiring for.
Team member interviews
Not specifiedYou will meet team members in additional interviews to evaluate technical skills and collaboration, with behavioral and cultural fit elements referenced in the reported descriptions. Expect at least one set of interviews focused on practical technical ability and working style.
Technical assessment and/or technical interviews
Not specifiedSome candidates report a technical assessment, including data science related evaluation, and separate technical interviews that may include coding exercises and problem-solving scenarios. The topic data strongly suggests preparation across SQL, Data Structures and Algorithms, API fundamentals, and possibly Selenium and test automation.
Hiring manager interview
Not specifiedYou will have an in-depth conversation with a hiring manager to evaluate technical skills and cultural fit, plus alignment with team goals. Be ready to connect your technical approach to how you would contribute in the role.
Final interview with leadership and offer discussion
Not specifiedThe reported process can include a final interview with founders or leadership to evaluate overall fit and alignment with company values, sometimes described as in-person. If you proceed far enough, there is an offer discussion step that covers salary and other employment terms.
What Kabbage evaluates
How often each skill shows up across reported interview loops.
Interview guides by role
Each guide has the questions Kabbage interviewers actually ask, the loop structure, and total compensation by level.
Insider tips
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Kabbage interview FAQ
Answered from real candidate and workplace data, marked up for rich results.
Related company guides
Companies that hire for the same data roles, with the same depth of prep.
