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      EagleView

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      Ricerche correlate: Recensioni su EagleView | Offerte di lavoro di EagleView | Stipendi di EagleView | Benefit di EagleView
      Colloqui di EagleViewColloqui per Senior Technical Product Manager presso EagleViewColloquio di EagleView


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      Colloquio per Senior Technical Product Manager

      24 set 2019
      Candidato anonimo a colloquio
      Bengaluru

      Altre recensioni di colloqui per Senior Technical Product Manager presso EagleView

      Colloquio per Senior Technical Product Manager

      19 nov 2020
      Dipendente anonimo
      Bengaluru
      Offerta accettata
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso EagleView (Bengaluru) nel mese di set 2019

      Colloquio

      My Assessment: I feel that interviewers were biased and not considering the capabilities of candidates to be able to take up work and deliver in a new domain. Maybe the theoretical definition of REST is more important to them than the candidates' capabilities. Another reason for rejection could be the insecurity of interviewers in hiring someone how is more versatile/capable than them. The Process: Initial online assessment consisting of multiple-choice questions (over zoom video call without audio - so as to be visible to evaluators). This assessment had two parts - Timed (twenty-minute) IQ quiz followed by untimed personality quiz. On clearing the online assessment was invited for an in-person interview at EagleView office. There were two rounds of interview: one with a subordinate member and another with a senior member of the team (perhaps the hiring manager). Questions were related to previous work experience and general technology which I answered satisfactorily. The senior interviewer seemed uneasy and was not even making eye contact. He did not even bother to introduce himself. His body language was negative right from the beginning. I had made myself available for the interview by traveling from far, and the HR insisted that they would like to have the interview on that particular day (Friday), as they wanted to make hiring decision quickly. So I had to plan my travel rather quickly without having any alternative days as an option for the interview. However, they did not provide any feedback until Tuesday. It is only when I called them that they informed that I had not cleared the interview without any detailed feedback. On insisting further for feedback, I was informed the next day, that my experience did not match with requirements. They could have scrutinized my profile and could have possibly had a telephonic conversation regarding my experience. This could have saved my travel time and money.

      Domande di colloquio [4]

      Domanda 1

      Previous Work Experience.
      Rispondi alla domanda

      Domanda 2

      Create Epics and User Stories from previous work use-cases.
      Rispondi alla domanda

      Domanda 3

      Explanation of architecture/components and their interfaces from previous work experience.
      Rispondi alla domanda

      Domanda 4

      What is cloud-computing, serverless-computing, REST, etc?
      Rispondi alla domanda
      2
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso EagleView (Bengaluru) nel mese di ott 2020

      Colloquio

      The interview process consists of 7 rounds and 1 UCAT test. Out of 7 rounds, 4 were heavily studded with technical and business domain related questions. We had an in depth discussion about my latest projects in AI/ML- the use case, business relevance, technical implementation, stages of AI model, various models, mathematics behind them, their evaluation matrix, production deployment, overall integration with the product. These 4 rounds lasted for approximately 45mins-1hour. The interviewers were well experienced in AI/ML domain so I would suggest one must refresh concepts and have detailed understanding of their work or whichever projects or technologies you have mentioned in your resume. 1 round happened with the director level person in US within Product Management, it lasted for 25 min due to time crunch. This round was more focused on project, business and domain understanding. 1 round happened with talent acquisition manager which was more like a discussion to see how well I fit in the company’s culture. That went up to 1 hour and 15 minutes. I enjoyed having conversation to understand the values of company, its culture, employee’s benefits, future prospects and presenting my knowledge about the overall business of the company and feedback on the interview rounds. The 6th round was of UCAT in which you have to answer 40 question within 20 minutes of time frame. It basically evaluates the cognitive ability, speed and accuracy of the candidate. It has no negative marking. The questions were based upon general quantitative and qualitative aptitude from work and time, distance, speed & time, ratio proportion, spatial recognition, geometry, number series, graphs for data interpretation, Set. Correct approach to attempt such test it to attempt maximum question if possible 37 to 40 without wasting much time on a question in case you get stuck. This test doesn’t have an option to go back to a question in case you skip it without answering hence, you must answer each and every question without skipping it. In the 7th round, discussion happened with HR about salary negotiations and other benefits. Throughout the process, I was connected with Rakhi Pukale from HR, she kept me well informed about the rounds, their nature and feedback from previous rounds. I did not feel at any point in time that I am in abeyance or reaching out myself to get answers of my questions. She was prompt and well structured all of the rounds beforehand hence, I did not face any kind of trouble. Thanks to her.

      Domande di colloquio [1]

      Domanda 1

      latest projects in AI/ML- the use case, business relevance, technical implementation, stages of AI model, various models, mathematics behind them, their evaluation matrix, production deployment, overall integration with the product. general quantitative and qualitative aptitude from work and time, distance, speed & time, ratio proportion, spatial recognition, geometry, number series, graphs for data interpretation, Set
      1 risposta
      3