Pretty standard opener for a recruiter call.
First, defer to the company's range by asking about the budgeted range for the role, then provide a researched range based on market data for ML engineers at HubSpot's level. Emphasize that you are flexible on the mix of base, bonus, and equity, but anchor your total compensation expectation and mention a soft floor only if pressed.
Pro tip: Frame your floor as a total compensation number rather than base salary, and tie flexibility to scope—this shows you understand that level and impact drive pay, not just the title.
Politely ask if they have a budgeted range for the role to ensure alignment and avoid anchoring too low or too high.
State a range based on market data for ML engineers at similar companies, adjusted for HubSpot's location and level.
Explain that you are open to different mixes of base, bonus, and equity, as long as the total package is competitive.
If asked, give a soft floor for total compensation and clarify that flexibility depends on scope, level, and growth potential.
Reiterate your enthusiasm for the role and emphasize that you are confident you can agree on a competitive package if the fit is right.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.