Lyft salaries

Lyft advertised pay for 14 roles, read from 54 postings on its own careers page. The highest midpoint is Software Engineering Manager at $198,000. Lyft doesn't post on a job board we can read a structured pay field from, so these were extracted from the posting text and checked against it — a separate, weaker source than the rest of the site, never blended with it.

What Lyft advertises, by role

Ranked by midpoint. Each range is what Lyft stated on its own careers-page postings, read from the posting text and checked against it word-for-word.

RoleMidpointAdvertised range
Software Engineering Manager$198,000$176,000$280,000
Product Manager$198,000$148,000$220,000
Product Design Manager$198,000$176,000$220,000
Lawyer$190,080$161,920$220,000
Research Scientist$188,100$140,800$242,000
Machine Learning Engineer$183,150$162,800$203,500
Software Engineer$166,500$108,000$220,000
Technical Program Manager$160,875$132,000$185,000
Data Scientist$153,180$128,000$185,000
Marketing Manager$152,438$118,000$178,750
Business Operations Manager$148,500$132,000$165,000
Business Development Manager$132,750$118,000$147,500
Data Analyst$110,250$82,800$123,750
Sales Representative$110,250$98,000$122,500

How this differs from the rest of the site. This company doesn't post on a job board we can read a structured pay field from, so these ranges were read from the text of its own careers-page postings. Every figure here was checked to appear word-for-word on the posting it came from — but it is a weaker, separately-kept source than the pages built from a machine-readable pay field, and the two are never mixed.

Low is the lowest floor and high the highest ceiling seen across the postings read; midpoint is the median of each posting's own midpoint. Where a role's advertised pay differs by city, the metros are broken out below it.

Base pay only — equity, bonus and sign-on are excluded, and at these employers equity is often most of the offer, so treat the figure as a floor. US postings in US dollars.

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The other half is saying it out loud without flinching. ChannelPulse plays the interviewer, asks the compensation question the way a recruiter does, and scores how you answered.

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