This is the kind of question that sounds like a math problem but is really about knowing your own priorities.
First, calculate the annual RSU value by dividing the total grant by 4, then apply the three stock price scenarios to get first-year total comp. Next, structure a counteroffer that addresses base, equity, sign-on, and level, using market data and your leverage to justify each component.
Pro tip: Emphasize that you're optimizing for long-term upside and level, not just first-year cash, and use the stock scenarios to show you understand risk—this signals maturity and makes your counteroffer more credible.
Compute annual RSU value ($600k / 4 = $150k) and add base range midpoint ($217.5k) to get baseline first-year comp of $367.5k.
For each scenario (down 30%, flat, up 30%), adjust the annual RSU value accordingly and recalculate total comp: down 30% → $105k RSU + $217.5k base = $322.5k; flat → $150k + $217.5k = $367.5k; up 30% → $195k + $217.5k = $412.5k.
Research market rates for Data Scientist at Figma and similar companies, and identify your leverage (competing offers, unique skills) to determine target numbers for each component.
Propose specific adjustments: base (e.g., $230k), equity (e.g., $800k over 4 years), sign-on (e.g., $50k), and level (e.g., Senior DS) with rationale tied to market data and impact.
Deliver the counteroffer clearly, explaining how each component addresses your value and the stock scenarios, and be prepared to negotiate flexibly.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Cliff vs quarterly vesting was the first thing I wanted to nail down.
Frame your answer as a structured due diligence process: first clarify the offer's financial and career mechanics (vesting, multipliers, promotion), then confirm logistical details (location banding, start date), and finally align on expectations. Emphasize that you're asking to make an informed decision, not to negotiate prematurely.
Pro tip: Ask about the refresh grant policy and how performance multipliers apply to future equity, not just the initial grant—this shows you're thinking long-term and understand how compensation compounds at Figma.
Ask about vesting schedule (e.g., 4-year with 1-year cliff), refresh grants, and how performance multipliers affect equity. Understand if multipliers apply to cash bonus, equity, or both.
Inquire about promotion timelines for data scientists, the criteria for advancement, and how performance is evaluated. Ask for examples of recent promotions to gauge realism.
Verify if the offer is tied to a specific location band, whether remote work affects compensation, and if relocation is required. Clarify any cost-of-living adjustments.
Discuss start-date options, including potential for a later start if you need to wrap up current commitments. Ask if there's flexibility for a signing bonus if start date is delayed.
Summarize your understanding and prioritize which clarifications are most critical for your decision. Indicate which points are negotiable versus deal-breakers.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
My instinct was to take more base over equity given the stock uncertainty, something like accepting $15k less in RSU grant value for a $5k base bump felt reasonable to me.
Acknowledge that compensation trade-offs are personal and depend on risk tolerance, cash flow needs, and belief in the company's future. Frame your answer around Figma's specific stage and growth trajectory, showing you understand how RSUs work and why you'd optimize for long-term upside if you believe in the mission. Be concrete about the exchange you'd make, but anchor it in data and a clear rationale rather than just saying you'd take more equity.
Pro tip: Mention that you'd want to understand the 409A valuation, preferred price, and liquidity timeline before committing to a specific trade-off—this shows you're not just eager but financially literate and thinking like an owner.
State upfront that your decision is driven by a mix of cash flow needs and belief in the company's growth. This sets a transparent, non-defensive tone.
Briefly explain how RSUs work at a pre-IPO company like Figma—valuation, vesting, liquidity events—to demonstrate financial literacy and reduce perceived risk.
Offer a concrete trade-off, such as accepting a 10-15% lower base salary for a 20-30% larger RSU grant, and justify it with your confidence in Figma's trajectory and your long-term commitment.
Tie the trade-off to the value you'll create in the Data Scientist role, showing that you expect your work to drive monetization and growth, which justifies the equity bet.
End by saying you're open to discussing specifics and would want to align on a package that works for both parties, signaling flexibility and collaboration.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.