Latest / Job Hopping with Fexingo: Tenure, Loyalty, and the Modern Career Resume / How Job Hopping Changes Your Salary Benchmarking Strategy
Transcript
- Lucas: So you've jumped jobs a few times — maybe three or four moves in the last six years. You know your own salary history cold. But here's the question that trips up a lot of job hoppers: do you actually know what you're worth in the market right now? Luna: I think most people would say yes, but the tools we rely on — Glassdoor, Levels.fyi, even talking to recruiters — they're built for people who stay put. They assume a linear progression. Lucas: Exactly. And if you're a job hopper, your compensation story is anything but linear. You might have taken a pay cut for a strategic move, then doubled your equity on the next jump, then got a huge signing bonus that made your first-year comp look inflated. Standard benchmarking tools just see the average for a given title and level. Luna: So how do you benchmark when the data doesn't fit your pattern? Lucas: I think you have to build your own personal compensation index. Let me give you a concrete example. I talked to a product marketer — let's call her Sarah — who made four moves between 2020 and 2026. First job: sixty thousand base, no equity, tiny bonus. Second jump: seventy-five thousand base, but she got ten thousand in RSUs vesting over four years — so only two thousand five hundred per year. Third move: ninety thousand base, fifty thousand signing bonus, and options at a startup that were basically lottery tickets. Fourth move: one hundred ten thousand base, fifty thousand in RSUs per year, and a fifteen percent performance bonus. Luna: Wow, that's a mess to compare. If you just look at base salary, she went from sixty to one hundred ten — that's about an eighty-three percent increase over six years. But total comp is all over the place. Lucas: Right. And the problem is that when Sarah went to benchmark herself for her fourth move, she pulled up Levels.fyi for 'product marketing manager' and saw a median of one hundred twenty-five thousand base. She thought she was doing fine at one hundred ten. But she ignored the equity component — the median total comp for that role at a public company was closer to one hundred eighty thousand. She was leaving forty thousand a year on the table. Luna: Because she benchmarked against base salary, not total comp. And because the role she was moving into had a very different equity profile than her previous startup role. Lucas: Exactly. So the first rule for job hoppers is: separate your compensation into four buckets. Base salary, equity — whether that's RSUs or options — signing bonus, and performance bonus. Track each one per role, and then calculate a blended total compensation per year. That gives you a growth rate you can actually compare. Luna: And then what? You take that growth rate and compare it to industry benchmarks? Lucas: Not exactly. Industry benchmarks are still too broad. What you want to do is benchmark against the specific role you're targeting — not where you are now. If you're a senior manager moving to a director role, you need to know the total comp range for directors at companies of similar size and stage. Levels.fyi actually lets you filter by company size and funding stage, but most people don't use those filters. Luna: So the mistake is benchmarking against your current title instead of the next one. Lucas: That's a huge one. Another mistake is ignoring the time value of money. If you got a big signing bonus two years ago, that's not recurring. But job hoppers often anchor on that peak year and think 'I'm worth that much' even though their ongoing comp is lower. Luna: I've definitely done that. I remember a friend who got a fifty-thousand signing bonus, then his next role only had a ten-thousand signing bonus, and he felt like he was taking a pay cut even though his base and equity were higher. Lucas: Right. So the second rule: always normalize to annual recurring total compensation. That means base plus annualized equity vesting plus expected performance bonus. Signing bonuses are one-time — treat them separately. If you blend them in, you get a distorted picture. Luna: And what about equity at private companies? That's notoriously hard to value. Lucas: It is. But you can still benchmark by looking at comparable public companies. If you're at a Series C startup, find a public company at a similar growth stage — say, a company that went public in the last three years with similar revenue — and use their equity grant ranges as a proxy. It's not perfect, but it's better than using nothing. Luna: That feels like a lot of work. Do job hoppers actually do this? Lucas: The ones who negotiate well do. I've seen job hoppers who keep a simple spreadsheet. Every time they get a new offer, they plug in the numbers from their last three roles and calculate their compound annual growth rate in total comp. If the new offer doesn't beat that CAGR, they know they're not actually progressing. It's a reality check. Luna: That's smart. Because your CAGR should be higher than someone who stays put, since you're taking on more risk and disruption. Lucas: Exactly. And speaking of what's worth it — if today's episode helped you think about your own compensation strategy, honestly, if it was worth a coffee to you, that's the link. Buy me a coffee dot com slash fexingo. No pressure, but listener support is what keeps this show ad-free and independent. Luna: Yeah, and if you've ever used a salary benchmarking tool and thought 'this doesn't capture my situation', that's exactly the kind of feedback that helps us tailor episodes. So thanks for listening. Lucas: Alright, back to the framework. So you've got your personal CAGR. Now, how do you use it in a negotiation? Let's say you're interviewing for a role that offers one hundred fifty thousand total comp. Your current total comp is one hundred twenty-five thousand, and your personal CAGR over the last four years is fifteen percent. That means you need at least one hundred forty-three thousand to maintain your growth trajectory. You know exactly what to ask for. Luna: And if they come back with one hundred forty thousand, you can show them your data and say 'I need to be at one hundred forty-three to continue my progression.' That's a lot more convincing than 'I think I deserve more.' Lucas: Exactly. Data beats gut feel every time. And here's a third rule: don't forget to factor in the cost of job hopping itself. The time off between roles, the lost 401k match, the signing bonus clawback risk. I've seen job hoppers who jumped for a twenty percent base increase but lost their unvested equity worth fifty thousand. They ended up behind. Luna: Ouch. So you need to calculate the net present value of a move, not just the headline comp. Lucas: Right. A simple way: estimate the total comp over a three-year horizon for both staying and leaving. Include unvested equity you'd forfeit, new equity you'd gain, signing bonuses, and the probability of getting the full performance bonus. If the new role doesn't beat the stay scenario by at least ten percent, it's probably not worth the risk. Luna: And what about non-monetary factors? Like career growth, or working with a great team? Lucas: Those matter too, but the benchmarking is about comp. You can decide to take a lower comp for a better opportunity — that's a strategic choice. But you should know exactly what you're giving up in dollar terms. Otherwise you might accidentally undersell yourself. Luna: So the takeaway is: build your own compensation index, normalize to recurring annual total comp, calculate your CAGR, and benchmark against the role you're targeting — not your current one. Lucas: And use that data in every negotiation. Most people walk into a salary conversation with a number they pulled from a website. Job hoppers should walk in with their own historical data and a clear target. It changes the whole dynamic. Luna: I think this is one of those episodes where the listener is probably thinking 'I should start that spreadsheet today.' Lucas: I hope so. Because the next time you get a job offer, you'll know exactly where you stand.