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GALDERA
AI-native financial modeling platform for growth finance teams
Last verified August 17, 2026 · Updated daily
What GALDERA is building
Every time a finance team's business conditions change, a new market opens, a pricing model shifts, or a fresh planning cycle starts, someone rebuilds the financial model from scratch. By the time it's done, the assumptions are already stale. The context that shaped last quarter's model, the decisions, the trade-offs, the reasoning behind the numbers, is gone, sitting in someone's head or buried in a version fourteen spreadsheet. Galdera is building the infrastructure that fixes this at the architectural level. The platform is structured around two integrated layers: a high-performance calculation engine capable of handling large volumes of financial data, and a semantic memory layer that links financial data directly to the business context, strategic decisions, and assumptions behind it. The result is a financial model that accumulates institutional knowledge over time rather than resetting each cycle. Finance teams can query the model in natural language, run complex scenario simulations in minutes, and get board-ready outputs where every assumption is traceable to its source. The company describes its goal as "the last financial model a company will ever need." Galdera is the Basque word for "question."
Why this matters
The reason AI has had limited impact in corporate finance is not a tooling problem. It is a context problem. Without a persistent foundation that connects financial data to the decisions and assumptions behind the numbers, even sophisticated AI models have nothing meaningful to reason from. They can process faster, but they cannot reason better. Galdera is building that foundation. The founding team is not operating from a theory of the problem. Evan, Mattia, and Gio lived it at Klarna, one of the most financially complex consumer fintech companies in Europe, managing FP&A across 26 markets simultaneously during a period of intense growth, capital raises, and IPO preparation. They built the internal system that replaced Klarna's static planning cycle with a continuously updated model, enabling three people to do work that previously required large analyst teams. That system became the direct blueprint for Galdera. J12 Ventures, the lead investor, is a Stockholm-based fund focused specifically on pre-seed and seed stage AI and data infrastructure companies. Their investment is a deliberate bet on the founding team's operational credibility, not just the market thesis. Antler co-invested, and the angel roster drawn from Klarna, DeepL, Stripe, and Banco Plata signals that the people who understand enterprise finance tooling from the inside see what Galdera is building.
Open roles at GALDERA
2 positions we're tracking. Roles are re-checked daily and removed when filled.
Know when GALDERA is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching GALDERA
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Very High. Pre-seed capital explicitly earmarked for platform development, engineering team expansion, and customer rollout. Three-person founding team with early customers already onboarded. Zero jobs anywhere.
Working at GALDERA
Since , GALDERA has built AI-native financial modeling platform for growth finance teams. The team is now people. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
The majority of roles are in Stockholm, Sweden.
How to actually get hired at GALDERA
Why applying the normal way doesn't work
GALDERA runs an applicant tracking system, but hiring managers still work referrals first. A cold application to GALDERA isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at GALDERA
What to show them
The two-layer architecture of calculation engine and semantic memory layer requires engineering that spans data infrastructure, financial data modelling, and LLM integration. At three people, whoever joins first shapes the technical architecture of the entire product. Core skills: TypeScript or Python, financial data modelling, LLM integration, vector databases or knowledge graph architecture, API design, data pipeline engineering, PostgreSQL or similar. Proof of work: Build a minimal proof of concept that takes three different financial metrics, links them to a business assumption in plain text, and produces a structured output showing how a change to the assumption cascades through the metrics. Share it with the founders. It is a direct miniature of what Galdera builds and shows you have understood the semantic memory concept at an implementation level.
A cold email that works at GALDERA
What GALDERA screens for
The funding announcement is explicit: capital is going toward platform development, reasoning infrastructure buildout, and initial customer rollout. The early customer base already includes DeasyLabs, Unify, and Counsel, meaning the product is in production at real companies before the team has even started scaling. That sequence, customers before headcount, defines the hiring moment precisely. The next engineers and commercial people join a company that has product-market validation but not yet the team to scale it. Three founders are carrying what should be a team of eight. The press release language is worth reading carefully: "expand its engineering team" is the primary stated use of capital alongside platform development. This is not a company that will post roles on Ashby. Reach out directly.
A tailored CV beats a generic one. Use GALDERA's job description language to clear filters.
Mistakes that kill GALDERA applications
A recycled CV gets rejected fast at GALDERA ( people). They notice.
Skip 'I'm looking for...' — start with The reason AI has had limited impact in corporate finance is not a tooling problem and your specific angle on solving it.
Applying and waiting = silence. Follow up at day five — it roughly doubles your odds of a reply.
Applying to GALDERA? Get the contact, not the form.
The GALDERA interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for GALDERA. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
GALDERA take-home assignment
GALDERA includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
GALDERA interview timeline
Timeline: ~ days. That's about average than the AI median (14 days at people).
Interviewed at GALDERA?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your GALDERA interview experience →GALDERA jobs, frequently asked questions
How many jobs does GALDERA have open?
2 open roles at GALDERA, last checked April 2026.
Does GALDERA hire remotely?
GALDERA doesn't have remote openings at the moment. All roles are in Stockholm, Sweden.
What roles is GALDERA hiring for?
GALDERA is hiring across Engineering, Customer. The most recent opening is Founding Full-Stack / Platform Engineer.
How do I apply for a job at GALDERA?
Apply via the links above. For tips, read our guide on how to get hired at GALDERA.
Does GALDERA respond to cold emails?
Not enough data yet on GALDERA's cold email response rates.
Who is the hiring manager at GALDERA?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at GALDERA?
Typical applicant count for AI roles ( people): 100-250 in two weeks. Apply fast.
How many rounds is the GALDERA interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the GALDERA interview hard?
Focus on technical depth and system design, not puzzles. Technical Interview is reportedly the most challenging round.
Does GALDERA give a take-home task?
Yes, GALDERA includes a take-home assignment.
How long does GALDERA take to get back to you?
Around 14 days across the full process.
What should I prepare for the GALDERA interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at people.
Where is GALDERA based?
GALDERA is headquartered in Stockholm, Sweden.
Get GALDERA roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching GALDERA
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+