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January 12, 2018 16:22
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| # Data collected from the following link: | |
| # https://us.teamblind.com/article/Stop-asking-for-tech-company-offer-numbers-Read-this-and-thank-me-later-sN8uYpop | |
| comp <- data.frame(stringsAsFactors=FALSE, | |
| company = c("Google", "Google", "Google", "Google", "Google", "Google", | |
| "Google", "Google", "Google", "Google", "Google", "Google", | |
| "Google", "Google", "Google", "Google", "Google", "Google", | |
| "Google", "Facebook", "Facebook", "Facebook", "Facebook", | |
| "Facebook", "Facebook", "Facebook", "Facebook", "Facebook", | |
| "Facebook", "Facebook", "Facebook", "Facebook", "Facebook", | |
| "Facebook", "Facebook", "Facebook", "Facebook", "Facebook", | |
| "Facebook", "Facebook", "Facebook", "Facebook", "Facebook", | |
| "LinkedIn", "LinkedIn", "LinkedIn", "LinkedIn", "Apple", "Apple", | |
| "Apple", "Apple", "Apple", "Apple", "Apple", "Amazon", | |
| "Amazon", "Amazon", "Amazon", "Amazon", "Amazon", "Amazon", "Amazon", | |
| "Amazon", "Amazon", "Amazon", "Amazon", "Amazon", "Amazon", | |
| "Amazon", "Amazon", "Amazon", "Microsoft", "Microsoft", | |
| "Microsoft", "Microsoft", "Microsoft", "Microsoft", "Microsoft", | |
| "Microsoft", "Microsoft", "Microsoft", "Microsoft", "Twitter", | |
| "Twitter", "Twitter", "Twitter", "Uber", "Uber", "Uber", | |
| "Lyft", "Lyft", "Lyft", "Lyft", "Dropbox", "Dropbox", | |
| "Dropbox"), | |
| base = c(115L, 110L, 105L, 110L, 105L, 105L, 110L, 110L, 112L, 140L, | |
| 155L, 170L, 110L, 155L, 145L, 145L, 120L, 170L, 150L, 115L, | |
| 105L, 105L, 110L, 110L, 105L, 107L, 105L, 180L, 160L, 145L, | |
| 110L, 115L, 175L, 160L, 170L, 175L, 170L, 210L, 160L, 175L, | |
| 150L, 150L, 160L, 125L, 120L, 140L, 170L, 140L, 140L, 110L, | |
| 155L, 120L, 135L, 160L, 95L, 100L, 103L, 103L, 130L, 95L, 95L, | |
| 110L, 103L, 135L, 152L, 160L, 178L, 127L, 106L, 145L, 160L, | |
| 100L, 106L, 106L, 110L, 106L, 106L, 106L, 106L, 107L, 119L, | |
| 107L, 130L, 120L, 145L, 160L, 110L, 110L, 140L, 170L, 135L, | |
| 152L, 175L, 167L, 160L, 160L), | |
| stocks_4_yrs = c(180L, 180L, 180L, 270L, 330L, 280L, 250L, 160L, 180L, 430L, | |
| 650L, 350L, 90L, 315L, 415L, 270L, 220L, 400L, 400L, 150L, | |
| 120L, 240L, 150L, 235L, 150L, 150L, 100L, 600L, 300L, 220L, | |
| 150L, 160L, 250L, 300L, 500L, 450L, 450L, 1000L, 300L, 480L, | |
| 250L, 250L, 250L, 150L, 150L, 250L, 300L, 99L, 100L, 60L, | |
| 130L, 100L, 105L, 105L, 52L, 70L, 65L, 65L, 88L, 53L, 53L, 200L, | |
| 65L, 70L, 115L, 160L, 175L, 94L, 60L, 120L, 320L, 25L, 120L, | |
| 60L, 50L, 60L, 60L, 60L, 120L, 90L, 25L, 120L, 200L, 150L, | |
| 125L, 600L, 180L, 150L, 590L, 720L, 260L, 327L, 480L, 464L, | |
| 250L, 300L), | |
| sign_on = c(50, 25, 22.5, 30, 22.5, 58, 20, 70, 50, 50, 50, 50, 0, 50, | |
| 100, 30, 25, 75, 30, 75, 120, 105, 75, 75, 75, 75, 50, 50, | |
| 70, 0, 110, 100, 0, 100, 100, 50, 65, 100, 100, 75, 25, 60, | |
| 100, 25, 10, 50, 30, 8, 20, 40, 65, 21, 20, 30, 47, 59, 52, | |
| 52, 62, 47, 47, 50, 40, 45, 72, 125, 100, 55, 65, 100, 185, 25, | |
| 20, 20, 20, 10, 15, 15, 15, 35, 15, 30, 20, 18.5, 15, 50, 0, | |
| 0, 0, 20, 60, 0, 0, 10, 10, 50), | |
| year = c(2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, | |
| 2016L, 2016L, 2017L, 2017L, 2017L, 2017L, 2017L, 2017L, | |
| 2018L, 2017L, 2018L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, | |
| 2016L, 2016L, 2016L, 2017L, 2017L, 2017L, 2017L, 2017L, 2017L, | |
| 2017L, 2017L, 2015L, 2017L, 2017L, 2017L, 2017L, 2017L, | |
| 2018L, 2016L, 2016L, 2017L, 2016L, 2016L, 2016L, 2016L, 2017L, | |
| 2017L, 2017L, 2017L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, | |
| 2016L, 2016L, 2016L, 2016L, 2017L, 2017L, 2017L, 2017L, | |
| 2017L, 2018L, 2018L, 2016L, 2016L, 2016L, 2016L, 2016L, 2016L, | |
| 2016L, 2016L, 2016L, 2017L, 2017L, 2016L, 2016L, 2017L, 2017L, | |
| 2016L, 2016L, 2017L, 2017L, 2017L, 2017L, 2017L, 2017L, 2017L, | |
| 2017L), | |
| level = c("L3", "L3", "L3", "L3", "L3", "L3", "L3", "L3", "L3", "L3", | |
| "L4", "L4", "L3", "L4", "L3", "L4", "L3", "L4", "L4", "E3", | |
| "E3", "E3", "E3", "E3", "E3", "E3", "E3", "E5", "E4", "E4", | |
| "E3", "E3", "E5", "E4", "E5", "E5", "E5", "E6", "E4", "E5", | |
| "E4", "E4", "E4", "SE", "SE", "Senior SE", "Senior SE", | |
| "ICT3", "ICT3", "ICT2", "ICT3", "ICT3", "ICT3", "ICT4", "SDE I", | |
| "SDE I", "SDE I", "SDE I", "SDE II", "SDE I", "SDE I", "SDE I", | |
| "SDE I", "SDE I", "SDE II", "SDE II", "SDE II", "SDE II", | |
| "SDE I", "SDE II", "SDE III", "SDE", "SDE", "SDE", "SDE", | |
| "SDE", "SDE", "SDE", "SDE", "SDE", "SDE", "SDE", "SWE1", "SWE1", | |
| "SWE1", "SWE II", "L3", "L3", "L4", "L4", "L3", "L4", "L4", | |
| "IC2", "IC2", "IC2"), | |
| comment = c("Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Google\'s target annual bonus is 15%. Vesting is monthly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", | |
| "Facebook\'s target annual bonus is 10% for E3 and E4. 15% for E5 and 20% for E6. Vesting is quarterly and has no cliff.", NA, NA, NA, NA, NA, NA, NA, NA, | |
| NA, NA, NA, | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", | |
| "Amazon stocks have a 5154040 vesting schedule and sign on is split almost evenly over the first two years*", NA, NA, NA, | |
| NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, | |
| NA, NA, NA, NA, NA, NA, NA) | |
| ) | |
| library(ggplot2) | |
| library(dplyr) | |
| library(forcats) | |
| library(hrbrthemes) | |
| comp %>% count(company) | |
| comp_ext <- comp %>% | |
| mutate(company=fct_lump(company, prop=0.05), | |
| sign_on_1y=ifelse(company=="Amazon", 0.5, 1), | |
| stocks_1y=ifelse(company=="Amazon", 0.05, 0.25)) | |
| comp_ext %>% | |
| ggplot(aes(x=fct_reorder(company, base, fun=median), | |
| color=fct_reorder(company, base, fun=median), | |
| y=base)) + | |
| geom_boxplot()+ | |
| coord_flip()+ | |
| theme_ipsum(grid = F)+ | |
| labs(y="Base salary, '000 USD", | |
| x=NULL, | |
| title="Base salaries", | |
| subtitle="'New-tech' companies pay more", | |
| caption="Source: posts on Reddit and Blind,\n'Other' include Dropbox, LinkedIn, Lyft, Uber and Twitter")+ | |
| theme(legend.position = "none") | |
| comp_ext %>% | |
| ggplot(aes(x=base+sign_on*sign_on_1y, | |
| y=stocks_4_yrs*stocks_1y, | |
| color=fct_reorder(company, base, fun=median))) + | |
| geom_point(size=2)+ | |
| geom_smooth(method="lm")+ | |
| theme_ipsum(grid = F)+ | |
| ylim(c(0,250))+ | |
| labs(x="Base salary + Sign-on bonus in first year, '000 USD", | |
| y="Stock vesting in year 1, '000 USD", | |
| color="Company", | |
| title="First year base salary + sign-on vs stock options", | |
| subtitle="'New-tech' companies rely on short-term incentives", | |
| caption="Source: posts on Reddit and Blind,\n'Other' include Dropbox, LinkedIn, Lyft, Uber and Twitter")+ | |
| facet_wrap(~fct_reorder(company, base, fun=median), nrow = 2) | |
| comp_ext %>% | |
| ggplot(aes(y=base+sign_on+stocks_4_yrs, | |
| x=factor(year))) + | |
| geom_boxplot()+ | |
| theme_ipsum(grid = F)+ | |
| labs(x="year", | |
| y="Compensation, '000 USD", | |
| title="Total compensation (excl. bonus)", | |
| subtitle="Competition for talent seems to be intensifying", | |
| caption="Source: posts on Reddit and Blind,\n'Other' include Dropbox, LinkedIn, Lyft, Uber and Twitter" | |
| ) |
Author
dmi3kno
commented
Jan 12, 2018
The microsoft box --[]-- XD lol. No one makes 120K+ there? I don't believe that.
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