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Would You Take A Startup Job That Paid Less?

How to work out what a startup offer is actually worth before you say yes.

JOB SEARCH STRATEGY WITH EARLY.

At Uber, my base salary roughly doubled over the years I was there, from around $65k when I joined as employee #250 to ~$140k by the time I left.

That climb is not what changed my life.

The company had a very publicly successful exit, and what I earned from the equity dwarfed every dollar of salary Uber had ever paid me, combined.

I’ll be the first to tell you that a life changing exit is not something you should count on.

It could go the other way. The company never exits, and your equity ends up worth nothing.

That’s what makes a startup offer harder to read.

Startups don’t “pay less”, they pay differently. It’s more of a bet than a corporate job and that’s what trips people up when they first get into the industry.

I’ve seen people take a weak offer because the equity number sounded huge. I’ve seen people walk away from a great one because the base looked too low.

In my recent issue on equity, I said I’d come back to how startup pay compares to a corporate salary, and how you work out whether the offer in front of you is a good one.

Let’s get into it.

IN THIS ISSUE:

2. WHY FOUNDERS BUILD THE OFFER THIS WAY

Understanding the founder’s side of this changes how you read your offer.

At a large public company, pay is handled by an entire finance team. There are usually defined bands, and when they tell you “this is the range for this level”, they mean it. There’s not much room for negotiation.

At a startup, that machinery literally doesn’t exist yet.

What exists instead is runway. The founder has a fixed amount of capital while they build, a rough plan for the next 1-2 years, and a budget built backwards from what the company needs to survive.

Your compensation is a line inside that budget.

Which means if your package comes in at even 10% higher than budgeted, that money comes directly out of something else that the company needs to keep the cogs turning.

To put that in context, think about what an extra $50k actually means on each side.

At a public company like Amazon, your salary is one line in a budget measured in billions. Finance signs it off and nothing about the business changes, really.

At an early startup, the founder is working from a fixed pot of money that has to stretch until the next raise, and every salary is spent against that.

So an extra $50k isn't abstract. It's the contractor they now can't bring on, the marketing they can't run this quarter, or part of the cushion they were relying on to reach their next milestone. It isn't that they don't value you.

It's that the same money is being asked to do several jobs at once, and yours is one of them.

So when a founder tilts your offer toward equity and holds firm on the salary, they’re protecting the company in its growth stage.

That’s worth knowing before you negotiate, because it tells you what levers you have. Beyond base, bonus, and equity, there’s opportunity for a signing bonus, a learning budget, your start date, and how you work.

Some of these are more obvious than others, but can have big impact on how you feel about the job. Knowing which ones actually have give in them is the whole next issue, so I'll leave it there for now.

3. UNFORTUNATELY, YOU CAN’T JUST LOOK UP COMPS

It’s easy to look up roles at Google, Meta, Uber, etc and see what each band pays, because there are thousands of people doing the same job. People use these public comps all the time to either negotiate their salary or see if the role is worth applying for.

Of course in startups, that data doesn’t exist in the public domain. Even if it did, it would vary a lot.

Say you want to know what’s normal for a business operations and strategy role in New York City. Sounds specific enough, but it isn’t, because every one of these variables changes the answer:

  • Is it a Series A, B or C company?

  • How much have they raised, and how recently?

  • Are they profitable?

  • What's the valuation?

  • How many employees are there?

  • What industry are they in: robotics, productivity tools, AI?

  • What level is the role: entry, manager, executive?

  • What's the location and the function?

Even though there’s no clean chart to look up, you can construct a benchmark yourself.

4. HOW TO BUILD YOUR OWN BENCHMARK

Once you get an offer, these are the steps I’d recommend you take:

Step one: get the offer in writing.

Don’t try and remember it from your notes on an offer call. Having it written down sounds so simple, but it’ll avoid any mistakes.

Step two: gather the company’s actual numbers.

Run deep research on the company itself. Funding raised, who the investors are, valuation, headcount, growth rate, stage, anything public you can find.

If we were working together from the get-go, I would actually have you find this info before you even apply, not once the offer is in hand. Knowing these numbers could save you from spending a lot of energy and multiple rounds of interviews on a company that doesn’t match your requirements.

Step three: feed the picture into an LLM.

Take the offer, the job description, and the research above into an LLM (e.g. ChatGPT, Claude, or whichever you prefer).

You want it to work from the complete context instead of parts of the story.

Use this prompt:

I've received a job offer and want to benchmark it.

Here is the offer: [paste base, bonus, equity].

‘Here is the job description: [paste].

Here's what I've found on the company: [paste funding raised, investors, valuation, headcount, growth rate, stage].

Using all of this, estimate what comparable roles pay at a company of this size, stage, industry, level, and location. Give me base, bonus, and equity, with equity shown both as a percentage of the company and as a dollar figure. Show a range from the lower to the upper end of the market, and tell me where this offer sits inside it.

Step four: know the limitations of this exercise.

You're asking the LLM, and it's worth being straight about what it can and can't do.

It can't see the company's private pay data, that's the whole problem we started with. What it can do is triangulate: it takes the public comps it does know for that kind of role, stage, and location, and combines them with the specific company details you've given it.

It won't be exact, but you get a sense of the range. Enough to know whether your offer is roughly in line, sitting low, or well under what you should get.

Step five: compare your offer to the range.

Now you can see where you sit. It gives you enough to negotiate from knowledge of the role and the industry.

This is also the part where having someone do it for you saves a lot of pain, and it’s a big piece of what we run for members inside the accelerator when the offer lands.

5. YOU'RE BETTING ON THE COMPANY

The benchmark handles the cash side, but you’re the one who needs to judge the equity offer.

So be clear about the bet. Your equity is only worth something if the company reaches a liquidity event, an acquisition, or an IPO. If it never gets there, the equity is worth nothing and the base salary is your whole pay.

You could look at this the way an investor does.

Every startup you apply to carries different odds. An investor wouldn’t back all of the companies available to them and hope for the best.

They would get clear on what they're looking for, then place their bets on purpose.

Your version is to weigh the odds, and the fit, before you spend time applying. That takes two things, both done up front.

The first is knowing where the company actually is: its stage, how much runway it has, and the real odds at that point.

The second is knowing your own side just as clearly: where you're trying to get to, the experiences you want next, and what you're genuinely willing to trade off to get them. (If you're not clear on that yet, start here).

You can look at a company of a given stage, size, and industry and tell whether what it offers, the equity odds, the scope, the experience, actually moves you toward where you're headed.

Every misaligned application is time you don't get back. Every interview process you grind through for a company you didn't really want wears down your energy and your confidence.

Ten applications to companies you've actually chosen will take you further and help you keep track of your process.

Pick one company, an offer you're weighing, one you're eyeing, or the last role you took, and run it properly.

First, build the cash benchmark using the steps above.

Your challenge this week:

Then write the bet down: the stage, the odds at that stage, the investors, the founders, and what would have to be true for the equity to pay off.

Lay it all out in front of you and decide whether it’s aligned with your long-term vision of your career.

And if you're weighing an offer right now, hit reply and tell me the stage of the company and what they've put on the table. I'll tell you what I'd be pushing on. I read every newsletter response.

Let’s go get you that job! 🏆

Kyle

Founder of Early

RESOURCES MENTIONED IN THIS ISSUE

P.S. Whenever you’re ready, here are the three more ways I can help you this week:

  1. Apply to join the Early Accelerator - Get coached directly by me, surrounded by a community of hundreds of badass startup operators. This is everything I learned when landing my role as Uber employee 250 and transitioning post-layoff to a Series A with top VC investors. We give you everything you need to make your startup job search a success. Structure, accountability, strategies, investor-grade company data, target company lists, negotiation assistance, everything to help you win.

  2. Download the Clarity Playbook (FREE) - the exact process I walk every Accelerator member through to lock in their Role, Impact, and Company before they ever write a post or send a resume. Start here!

  3. Use the Proof of Work Finder (FREE) - this prompt finds the highest-leverage Proof of Work you can create for a target startup, builds it with you, and pressure-tests it so it doesn’t read as generic. Send your Proof of Work to the team and create a huge gap between you and the second-place candidate.

See you again next week!

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