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      Buscas relacionadas: Avaliações da empresa Google | Vagas da empresa Google | Salários da empresa Google | Benefícios da empresa Google
      Entrevistas da empresa GoogleEntrevistas do cargo de Engineering Manager da empresa GoogleEntrevista da empresa Google


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      Entrevista para Engineering Manager

      3 de mar. de 2016
      Candidato(a) sigiloso(a) à entrevista
      Mountain View, CA
      Nenhuma oferta
      Experiência negativa
      Entrevista difícil

      Candidatura

      Candidatei-me por indicação de um funcionário. O processo levou 2 semanas. Fui entrevistado pela Google (Mountain View, CA) em nov. de 2015

      Entrevista

      Submitted resume through a friend. Had a phone screen interview, then an onsite interview. I was interviewed by, I think 6 people, which involved one junior engineer, a few senior engineers and a few managers. The questions they asked were generally reasonable, smart engineering questions. I had not prepared for a grueling technical interview, and since I am coming from a fairly demanding management position, I am less fluent with coding than I once was. Still I think I have a right to call myself an excellent developer, especially in the skills one gains with significant experience, such as architecture and systems optimization. I had an off day. I definitely did not nail all the technical algorithm writing parts of the interview, but to be totally frank, the reason (other than just being "off") is that I was rusty is that very few people DO that kind of coding anymore (ie "write logic to find a cycle in a linked list"), because it's abstracted away in modern languages. It's important that developers know how low level algorithms work, but to expect them to build highly optimized syntacticly accurate algorithms for weird problems is not interviewing for the skills that will really be needed in most of these jobs. I think what it does is find the super smart just-out-of school engineers, but does a disservice to those who have moved on to higher-level engineering problems. Forcing me to do it on a whiteboard rather than giving me a computer is also the sort of thing that I would expect a progressive company like Google to have done away with by now. Who composes real code on a whiteboard in real life? Anyhow, I got turned down for my technical performance, which I genuinely resent, as it's a misjudgement.

      Perguntas de entrevista [1]

      Pergunta 1

      In a dir. name containing an arbitrary number of "/.." parts, like "/a/b/c/d/../../e" implement an algorithm that removes all instances of /.. along with the preceding directory, to reduce away all /.. syntactically. Now adapt the algorithm to be run on a VERY long string, which must be broken into pieces and solved using MapReduce. Yeah, not trivial.
      1 resposta
      18

      Outras avaliações de entrevista de vagas de Engineering Manager da empresa Google

      Entrevista para Engineering Manager

      17 de jun. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista fácil

      Candidatura

      Fiz uma entrevista na empresa Google.

      Entrevista

      Only talked to a recruiter - I'm still waiting for them to find the right fit. They presented multiple options and they've been able to move quickly. I'm scheduled to talk with multiple hiring partners

      Perguntas de entrevista [1]

      Pergunta 1

      1. Where are you currently located? 2. Are you open to relocating outside of your current location? If so, which U.S. locations are you open to? 3. If selected as the finalist, what is your ideal start date (Month & Year)? To set expectations accordingly, most hiring managers prefer start dates within 4 - 8 weeks after receiving the offer, if not sooner. 4. Do you require Google to sponsor U.S. work authorization for this position? If so, please specify if possible (e.g. OPT, H-1B transfer, etc.). 5. Which primary coding languages are you most familiar with? 6. Any prior work experiences with Google I should be aware of? 7. Which ML subdomain(s) most align with your domain expertise? Please select only 1-2 for now. Recommendations/Ranking/Predictions (RRP), Computer Vision, Natural Language Processing (NLP), Speech/Audio, Machine Learning Infrastructure (i.e. Distributed Machine Learning), Reinforcement Learning, Generative AI, Other (please specify)
      Responder à pergunta

      Entrevista para Engineering Manager

      6 de abr. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Ciudad de Mexico
      Nenhuma oferta
      Experiência neutra
      Entrevista difícil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou 1 semana. Fui entrevistado pela Google (Ciudad de Mexico) em mar. de 2026

      Entrevista

      Primero es una conversación usual de filtro de posición revisando match de experiencia. Luego explicación de todo el flujo, es largo. Solo realicé el primer filtro técnico que son dos sesiones de diseño/arquitectura de sistemas. Durante la explicación proveen bastante material como videos y FAQs. Incluso sugieren agendar una "mock interview" para preparar y tener feedback antes de la real. Esa fue la parte mala, ya que la agendé pero jamás me contactaron y por cuestiones de calendario me pidieron adelantar las sesiones que tenía para semanas mas adelante por lo que sentí que no me preparé adecuadamente

      Entrevista para Engineering Manager

      21 de jan. de 2026
      Funcionário(a) sigiloso(a)
      Mountain View, CA
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por indicação de um funcionário. Fui entrevistado pela Google (Mountain View, CA) em jan. de 2026

      Entrevista

      Recruiter screen > Tech screen (coding + projects) > Onsite. Onsite was 5 rounds: People, Projects, Sys design, Coding/Code review, and Googlyness. Tech screen had some graph/dsa stuff but not super hard, more about the tradeoffs. Onsite is interesting. People and project rounds are standard: handling conflict and growing teams, project management style and thought process. System design: large scale distributed stuff and tradeoffs, and a coding/code-review round: they give a choice; I did code review and walked through a doc spotting bugs/efficiency issues (+1 if you think out loud). Googlyness: leadership philosophies and working with cross functional teams. Google EM guides on blind and reddit were helpful, also some grokking for sys design refresh. And yeah a mock on prepfully with a google em and it was very helpful; helped me realize I was being too humble and not showing enough so to say “emergent leadership" which is a huge signal there. Joined a week ago and loving the campus lol

      Perguntas de entrevista [1]

      Pergunta 1

      how would you design a system to monitor the performance of a machine learning model in real-time
      Responder à pergunta

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