there's almost nothing concrete out there about PM comp at OpenAI so i'm posting my own datapoint. went through the PM loop in q4 2025, offer extended q1 2026, sf.
my offer, senior PM: base: $225k bonus target: 15% (~$34k) equity: $1.2M RSU grant, 4-year vest, 1-year cliff signing: $40k
for context i had about 7 years of PM experience, including 3 at a large-cap tech company. they leveled me as what felt like L6-equivalent (though openai doesn't use public level bands the way google does).
a few things specific to PM comp at openai that came up:
the equity conversation is tricky. because they're private, they'll give you a valuation per share based on the last 409A. that number may or may not reflect what the company might be worth at IPO or in a secondary sale. i got a secondary tender offer framing from the recruiter but no guarantee of timing.
PMM vs PM: i asked about this. PMMs are generally leveled slightly below PMs at comparable experience. their comp bands reflect this.
negotiation room: i got $10k more on base and an extra $100k in equity by citing a competing offer from another AI-native company. the recruiter didn't push back hard. ask.
the interview process for PM is separate post territory but in short: no product estimation, heavy on strategy and customer empathy, one system design lite round (you don't need to code, but need to understand product architecture tradeoffs). behavioral rounds are rigorous.
not including total comp calc because private equity is speculative. you have to decide how much discount to apply to the RSU value yourself.