Filed is building the first AI tax preparer trusted by America’s accounting firms.

This industry might seem boring—but it’s a $70B backbone of the economy that’s breaking under a talent shortage no one has solved. We’re fixing it—fast.

In just 9 months, we’ve hit strong product-market fit, are generating insanely fast-growing, ridiculously sticky revenue, and are backed by top-tier investors. We’re not a tool—we’re the missing workforce firms have been sounding the alarm for. We’re building the future by expanding our already 30-person team with those who want to say “I was there when it all started.”

Read more → TechCrunch

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What we should tell you about the role:

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Here’s why this is a terrible job:

• This is not a job for someone who likes to move slow.

• We operate week to week with ruthless speed. Sometimes we're going in the wrong direction, but more times than not we're going in the right direction.

• If you need a few extra days to perfect a pipeline, chances are there's already a handful of team members blocked behind you.

• We use tools like Claude, OpenAI, Pydantic AI, and our own eval infra to move fast, test ideas in days, and ship to production quickly.

• You'll be operating at the intersection of LLMs, tax domain logic, and high-stakes accuracy requirements.

• There are no clear answers. Just judgment calls, ambiguity, and constant input from every direction.

• You'll ask yourself, is this really the work? It is. And it's not for everyone.

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Here’s why it’s the best career choice you’ll make:

• We're building what tax pros call impossible. A product that behaves like a teammate, not just another tool.

• We run reviews every 4 months. We operate with total transparency around pay, performance, and progress.

• You'll be paid above market. You'll earn equity that grows fast. And you'll have full autonomy to make high-impact decisions.

• You'll ship models and agents because you believe in them, not because they got signed off.

• You'll talk to customers weekly. You'll drive outcomes end to end.

• We'll tell you what needs to be achieved. How you get there is on you.

• We expect you to build a tax Oracle. An internal evaluation system so dialed in that you can predict exactly where the model will fail before a CPA ever sees it.

• That comes from immersion, curiosity, and care.

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The teammate we’re looking for:

• Thrives at solving operational inefficiencies and systems challenges

• Moves seamlessly between identifying problems, implementing solutions, and iterating quickly

• Excited by the challenge of making internal operations invisible (because they just work)

• No lone wolves — we need a collaborative operator

• Big bonus if you have experience implementing automation or AI agents in a work environment

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What you’ll be responsible for:

• Building and maintaining best-in-class LLM pipelines and agentic workflows in production

• Designing evals that catch regressions before users do, and grading systems that measure what actually matters

• Owning the retrieval, context, and tool-use infrastructure that powers Filed's AI tax preparer

• Driving accuracy, latency, and cost improvements through experiments, fine-tuning, and prompt engineering

• Enabling the broader engineering and tax teams with tooling, primitives, and shared infrastructure

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Your hard skillset:

• Comfortable designing and analyzing evals, traces, and failure modes at scale

• Confident working across the stack (Python, TypeScript, vector stores, orchestration frameworks, observability)

• Bonus if you've worked in fast-paced startups or regulated industries

• Even bigger bonus if you've taken an AI product from 0→1 and watched real users depend on it

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Your soft skillset:

• Comfortable being uncomfortable and making calls with incomplete data

• Empathetic and curious. Building for the user, not just for benchmark scores

• Highly collaborative across product, engineering, and tax

• Detail-oriented but pragmatic. You know when accuracy matters and when to ship

• You own your work and welcome the accountability that comes with it

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Growth and Levels:

1. We operate on six levels, from Level 1 to Level 6. Each reflects increasing ownership, impact, and scope with meaningful jumps in salary and equity.

2. We review levels every 4 months. Promotions are based on output and ownership, not tenure.

3. This isn't a comfy AI research role. It's fast, focused, and customer-obsessed.

4. You will launch fast. You will learn fast. You will own what you ship.

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The process:

• Quick intro call (30 minutes)

• Technical walkthrough and async task (60 minutes)

• Final round with our team (120 minutes)

In just 3.5 hours, you’ll be wanting early access - just like the rest of our team - to get into the stack and start building a generational company, even before your first day. Because you’ll see the opportunity to change your career trajectory - fast.

Department

Machine Learning

Locations

Stockholm

Employment type

Full-time

Positions

1