Live PM openings at Anthropic, OpenAI, Scale, Cohere, Mistral, and 100+ AI companies. Pulled daily from official ATS sources — not scraped, not stale.
Not all AI PM roles are the same. Here's how to think about tiering when you're planning your search.
Ranges reflect base salary. Total comp at frontier labs can be 2–4× base with equity. Adjust for geography (NYC/SF add ~10%, other US markets subtract ~10–20%).
| Level | Base salary | Typical total comp |
|---|---|---|
| Associate AI PM | $140k – $180k | $180k – $260k |
| AI PM | $160k – $220k | $220k – $380k |
| Senior AI PM | $220k – $320k | $320k – $600k |
| Staff / Principal AI PM | $280k – $450k | $450k – $900k+ |
| Group / Director AI PM | $320k – $520k | $500k – $1.2M+ |
Equity at pre-IPO frontier labs (Anthropic, OpenAI) carries meaningful uncertainty but has been a substantial driver of total comp for early joiners.
The single biggest accelerator: a portfolio of shipped AI work. Hiring managers skim LinkedIn, read one project case study, and decide in under 5 minutes. Make that project case study strong.
Ship 4–6 AI projects: a RAG app, an eval harness, an agent, a cost/quality analysis, a safety red-team, and a full AI PRD. The free 60-day course produces all six.
One bullet per AI project. Lead with the product outcome, not the tech. Bad: "Used GPT-4 for summarization." Good: "Shipped RAG-powered doc search; eval-measured relevance improved 34%; cost $0.002/request."
Cold apply rates at frontier labs are ~1%. Warm intros via working AI PMs, open-source contributions, and community participation are dramatically higher.
Product sense + AI case study + technical depth + execution + behavioral. Full interview prep guide →
Use the salary ranges above as anchors. For equity-heavy offers, model P50, P10, and P90 outcomes — don't just use the recruiter's "assumed growth" number.