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AI for Job Search

Salary Negotiation

The offer call is short, and if you have not decided your number beforehand you will say yes to theirs. The pressure is real: you have been searching for months, you like the team, and asking for more feels like it might break something. So the anchor they set becomes the outcome, and the difference compounds for years across every raise that gets calculated as a percentage of it.

Preparation removes most of that pressure. Skynet pulls what is publicly known about pay for this role, level, and location, weighs it against what you specifically bring, and gives you a range you can defend with a sentence. Then it plays the other side of the table until the ask stops feeling like a confrontation.

How it works

step 01

Research the range

The agent browses public salary data, levelling guides, and comparable postings for your role and market. You get a range with the sources attached, not a guess.

step 02

Build your case

Working from your history, it assembles the specific reasons you sit at the top of that range — the scope you have handled, the results you delivered, the competing interest you have.

step 03

Look past base salary

Equity, bonus structure, signing, start date, title, remote terms. The agent lays out the whole package so you know which levers to pull when base will not move.

step 04

Rehearse the hard part

It plays the recruiter. It says the budget is fixed. It asks what you are currently making. You practise until your answers are short and calm.

Build it from a prompt

Give it the offer and the context, and let it prepare you.

Nothing here guarantees a better number. What it gives you is the thing that usually decides these conversations: knowing your range, having a reason for it, and having already said the sentence out loud once before it counts.

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