Went through the Databricks PM loop earlier this year for a senior PM role. Didn't end up taking the offer but went far enough to have solid numbers and some context on the PM comp structure.
Offer for Senior PM (4 years PM experience, enterprise SaaS background): Base: $195k Equity: $350k over 4 years Sign-on: $40k Bonus target: 15%
Year 1 total around $285k. Their PM comp is slightly below what the equivalent PM at Salesforce or Google would make, but the equity story is the pitch they lean on hard. The recruiter specifically said something like "we're very close to monetizing at scale" which is Databricks-speak for potential IPO upside.
A few things worth knowing for PMs specifically: The PM loop at Databricks is more technical than most enterprise shops. They asked me a case study that was basically a data product strategy question and then did a follow-up where I had to walk through API design tradeoffs for a hypothetical Lakehouse feature. Behavioral rounds focus heavily on cross-functional leadership with engineering. If you've only worked in B2C or growth contexts this might feel foreign. The PM career track has some ambiguity between product and technical program manager paths. I asked about this directly and got a "depends on the team" answer which wasn't super satisfying.
If you're a PM from a data/analytics background (Snowflake, dbt, Looker) you'll feel right at home. If you're coming from consumer product it's a bigger adjustment.
Happy to answer questions about the loop itself.