There are newer employer reviews for Facebook

Helpful (1)

Great company

  • Comp & Benefits
  • Work/Life Balance
  • Senior Management
  • Culture & Values
  • Career Opportunities
Former Employee - Software Engineer in Menlo Park, CA
Former Employee - Software Engineer in Menlo Park, CA

I worked at Facebook part-time (more than a year)

Recommends
Positive Outlook
Approves of CEO
Recommends
Positive Outlook
Approves of CEO

Pros

great company and online prodict

Cons

not that many significant cons

Advice to Management

kepp doing what your doing

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  1. Nice place to work. Interesting problems.

    • Comp & Benefits
    • Work/Life Balance
    • Senior Management
    • Culture & Values
    • Career Opportunities
    Current Employee - Software Engineer in Menlo Park, CA
    Current Employee - Software Engineer in Menlo Park, CA

    I have been working at Facebook full-time (more than 3 years)

    Recommends
    Approves of CEO
    Recommends
    Approves of CEO

    Pros

    Nice fast paced culture, that encourages folks to take risks.
    Smart set of co-workers.
    Nice perks. Laundary, food, loaded micro-kitchens, pay etc etc.

    Cons

    Can be a little haphazad.
    Managers are promoted in-house, and sometimes they can be inexperienced or not very good.
    Timelines can be aggressive.

  2. Helpful (7)

    Data Science

    • Comp & Benefits
    • Work/Life Balance
    • Senior Management
    • Culture & Values
    • Career Opportunities
    Current Intern - Data Scientist in Menlo Park, CA
    Current Intern - Data Scientist in Menlo Park, CA

    I have been working at Facebook as an intern (less than a year)

    Doesn't Recommend
    Neutral Outlook
    No opinion of CEO
    Doesn't Recommend
    Neutral Outlook
    No opinion of CEO

    Pros

    Smart people, especially many with PhDs and other forms of strong academic performance.

    Cons

    Product Managers treat analytics as ad hoc data pullers. Data and development environment actively hinders cross analyst information and expertise sharing.

    Advice to Management

    Clarify job roles differences between data science, analytics and business intelligence. Incorporate standardization and peer review principles of software engineering into analytics workflows.

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