Careers

No open roles right now.

Vero is built by one person. There is no team, no headcount plan, and nothing to apply for yet. When that changes, this page will list real roles.

An independent product. No team to join yet.

No outside funding, no marketing department, no support rota. If that changes, the first hires would own a problem end to end — from the data pipeline through to the sentence a non-professional investor reads.

Fig. 01The tool shelf, live from the registry

Workshop

Workshop · 13 tools, live from the product’s own registry

Your thesis

Thesis Builder
Write and version what you believe, for any company you track
Unchecked News
Articles not yet judged against your thesis — check them here
Bear Case Generator
The strongest case against your own claims, one by one

Your portfolio

What Changed Since I Last Looked
Everything that moved while you were away
Portfolio Analyzer
Concentration, sector and co-movement across what you hold

Company research

Fundamental Analyzer
Margins, growth, balance sheet
Filing Summarizer
10-K/10-Q, key figures pulled out
Moat & Competitive Position
Durability of the advantage
Stock Comparison
Two companies, side by side
DCF / Valuation
Bear, base and bull — you supply the inputs

Build

Build a tool
Describe an analysis, get a reusable tool
Build a module
Describe a panel; place it on any page
Build something new
Describe a calculation; Vero writes and sandboxes it

What’s being built

The hard part isn’t the reading. It’s the filtering.

Vero reads the day’s news, filings and market data for the companies someone owns, scores each event for how much it should matter, and explains it in plain English. So most of the engineering is judgment encoded as constraints.

Relevance gates

Gates that refuse to surface an article about a different company. Most financial news is not about the business, and a product that forwards all of it is worse than nothing.

Scoring that justifies itself

Every event is scored for how much it should matter — and the scoring has to justify itself, in plain English, rather than assert a number.

No invented numbers

A hard rule: the product never invents a figure it cannot compute from real data. Where it cannot, it shows nothing rather than a guess.

If that changes

What working here would mean.

Opinions about what not to show

Strong opinions about what not to show someone. The hard part is not the reading — it is the filtering.

Comfort with messy data

Financial data is messy, delayed, and occasionally wrong. Comfort with that is part of the job.

A low tolerance for almost-finished

Interfaces that look finished but are not. Owning a problem end to end — from the data pipeline through to the sentence a non-professional investor reads.

Get in touch anyway

If this is the kind of product you’d want to work on, say so.

There’s no pipeline, no applicant tracking system and no promise of a role — just a real inbox, read by the person building it. Tell me what you’d want to build and what you’ve built before.

hello@verostocks.com