I had a number ready but the 'how did you determine it' part tripped me up a little.
Provide a well-researched salary range based on market data for Machine Learning Engineers at Samsara, anchoring to the base salary component. Show flexibility by expressing openness to trade-offs between base and other compensation elements, but emphasize that base is your primary focus given the role's structure.
Pro tip: Avoid giving a single number; instead, present a range and mention that you're open to negotiation based on the total package. This demonstrates flexibility and keeps the conversation collaborative.
Gather data from sources like Glassdoor, Levels.fyi, and industry reports to determine the typical base salary range for ML Engineers at Samsara and similar companies.
Assess your skills, years of experience, and unique qualifications that justify a position within that range.
Set a realistic range with a lower bound you're comfortable with and an upper bound that reflects your ideal, ensuring it's competitive but not unrealistic.
Express openness to discussing the total compensation package, including potential trade-offs between base and bonus/benefits, while reiterating your primary interest in base salary.
State your range confidently and briefly explain how you arrived at it, referencing market data and your qualifications.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.