Avathon headquartered in Pleasanton, US has 1 active tech role on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
Office locations
1
Open roles tracked
1
Posted last 7 days
1
Posted last 30 days
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What employees say
+ Fast paced like a startup. Lot of innovation and staying close to cutting edge technologies. building systems for new industrial AI used cases that doesnt exist in the world. Uniqu
− The org structure is still in build up phase leading to shared accountabilities instead of having an owner.
Recent Glassdoor reviews · 208 total
Pros: Fast paced like a startup. Lot of innovation and staying close to cutting edge technologies. building systems for new industrial AI used cases that doesnt exist in the world. Unique product offering.
Cons: The org structure is still in build up phase leading to shared accountabilities instead of having an owner.
View on GlassdoorPros: industrial AI company and CV company
Cons: no healthy pipeline of clients
View on GlassdoorPros: Nothing to say just be cautious. I wouldn't fully trust them, even after receiving a Letter of Intent. If you're considering joining, try connecting with current or former employees first to understand the company's work culture and hiring practices. My experience was disappointing, and I found the process to be misleading.
Cons: Nothing I have given atleast 5 round of interview they have given letter of intent delayed the offer letter unprofessional behavior
View on GlassdoorPros: Initially It was good, but now everything is average here.
Cons: Management is very shallow, they don't have proper plan or hierarchy. Too much politics, Everything is based on set of senior management and their favorite employees. No value or consideration for the product goodness/ company goodness. Learning is zero.
View on GlassdoorPros: nice people to work with(depends on team). Nice projects.
Cons: bad upper management(depends on team). Bad work culture, they expect you to work more than what you get paid for. Bad compensation.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 411 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 10 total · avg difficulty 3.2/5 · 10 questions indexed
Basics of CNN and the mathematical intuition behind augmentation. Loss changes in batch sizes. Explanation of the layers in CNN. overfitting vs underfitting. How does accuracy change in overfitting and underfitting?
Sample questions
1st round - 2 coding question and 18 general logical reasoning questions Round 2 - basic questions on technology, oops and dbms Round 3 - Questions on experience and skill to approach a problem
Sample questions
Very bad experience; after completing all rounds (10+) and submitting Salary Slips & referrals, the Avathon Team can't manage the communication and regular updates to the candidate. They are really very slow.
1st Round: An online assessment consisting of 20 multiple-choice questions (MCQs) and 2 LeetCode medium-level coding problems. 2nd Round: An offline technical interview focused primarily on the resume. It also includes questions related to core Computer Science concepts, especially Database Management Systems (DBMS). 3rd Round: Another technical interview with a deeper focus on the resume. The discussion also includes general questions about current technologies and tools the candidate has used in previous projects or internships. 4th Round: The HR round, which evaluates the candidate's communication skills, cultural fit, and overall alignment with the company's values.
Sample questions
Good L1 coding - hackerrank based Intermediate and hard P1 - Maximum Length Good Subarray (Python): Find the longest contiguous subarray with a sum less than or equal to k by using prefix sums and a hashmap to track first occurrences efficiently in linear time.
Sample questions
Top hiring roles: Engineering
Last updated 19 September 2026
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