Ōura Software Engineer interview typically runs 2-5 rounds: recruiter/HR screen, technical interview, hiring manager, and sometimes additional team or leadership interviews. It usually takes about 2 weeks to a couple months, and the process is notably fast and structured.
$114K
Avg. Base Comp
$224K
Avg. Total Comp
4-5
Typical Rounds
2-8 weeks
Process Length
We’ve seen Ōura evaluate software engineers less like a generic coding funnel and more like a search for people who can build thoughtfully in a consumer health product. Multiple candidates reported that the conversations leaned into system design, APIs, data flows, and schema decisions, with one person even having to present the architecture in a diagramming tool. That tells us the bar is not just “can you code,” but “can you explain how this service should work and why.”
A recurring theme is that Ōura cares a lot about fit with the product and the healthcare context. Candidates were asked directly why they wanted to join a specific health-focused team, and several noted that the interviews felt cross-functional, with product and hiring managers joining the mix. We also noticed that the technical style varies by role and team: one candidate saw iOS and systems questions plus feature work on an example project, while another was screened hard on TypeScript fluency in an online assessment. The non-obvious takeaway is that breadth matters here — not breadth for its own sake, but the ability to move comfortably across environments and connect engineering choices back to the user experience.
Synthetized from 4 candidates reports by our editorial team.
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Real interview reports from people who went through the Ōura process.
I applied to Ōura and was first sent an online assessment, which caught me a bit off guard because it was Typescript-only and that wasn’t mentioned clearly in the email before I accepted it. I was rusty on the syntax, so that made the OA harder than it should have been. The grading felt pretty strict on language expertise, which I understood, but it definitely meant you needed to be comfortable coding in Typescript specifically rather than just being generally strong at interviews.
After that, the process moved quickly. I had a two-step interview process with HR first and then a technical interview soon after, with very little time between the two. Both conversations had a pleasant atmosphere, and the questions felt relevant to the role. In the HR round, I was asked to talk about how I ended up applying to Ōura, so it was more of a conversational background and motivation check. The technical round came shortly after, and the overall turnaround from interviews to job offer was short, which I appreciated. My main takeaway is that you should be ready for a fast process and make sure you’re genuinely comfortable coding in Typescript before the OA, because that was the most specific and important part of the screening for me.
Prep tip from this candidate
Make sure you can code comfortably in Typescript before the online assessment, since the OA was language-specific and graded strictly. Also be ready for a quick HR-to-technical sequence and a conversational question about why you applied to Ōura.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Ōura
Write a function to fill the NaN values in the dataframe.
| Question | |
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| Prime to N | |
| Random SQL Sample | |
| Find the Missing Number | |
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| Hurdles In Data Projects | |
| The Brackets Problem | |
| Employee Salaries (ETL Error) | |
| P-value to a Layman | |
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| Average Quantity | |
| One Element Removed | |
| Size of Joins | |
| Cyclic Detection | |
| Valid Anagram | |
| Paired Products | |
| Google Maps Improvement | |
| Nearest Common Ancestor | |
| Groups of Anagrams | |
| Popular Actions | |
| Radix Addition | |
| Exam Scores | |
| String Mapping | |
| Retailer Data Warehouse | |
| Find Duplicate Numbers in a List | |
| Cumulative Sales Since Last Restocking | |
| Three Zebras | |
| Completed Shipments | |
| Real-Time Hashtag Partitioning |
Synthesized from candidate reports. Individual experiences may vary.
A standard HR-style call to review your background, what you are looking for, and whether you match the role requirements. In some cases, this first conversation also included motivation questions about why you applied to Ōura and interest in the healthcare or women’s health space.
Some candidates were sent an online assessment before interviews, and it was notably TypeScript-only. The grading appeared strict on language-specific expertise, so being comfortable coding in TypeScript was important.
This round focused more on practical engineering than LeetCode-style puzzles. Candidates reported system design questions around architecture, data flows, APIs, and database schema, as well as coding exercises that could include adding features to an interview example project or discussing iOS and systems topics.
The hiring manager conversation covered system design, behavioral questions, product thinking, and sometimes pair programming. Interviewers also probed how your past experience translates across different programming environments and whether you can work effectively in a collaborative setting.
Candidates also met with colleagues close to the role, and in some processes with the manager’s manager or a product person. These interviews emphasized fit, communication, domain interest, and how well you understand the product and healthcare context.