După ce aplicați, veți primi un e-mail din partea platformei techtree pentru etapa de screening al CV-ului și programarea interviului. Vă rugăm să verificați adresa de e-mail și să confirmați invitația pentru a continua procesul de recrutare.

About the company
Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. We're building AI that can perform that work - professional-grade systems for insurers that read, reason, decide, and act inside real workflows over long time horizons.

We start by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time.

Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow - we're building the AI operating system for decision-making across insurance.

We're backed by leading investors, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber.

The role
We're looking for strong backend engineers who love building reliable systems around fragmented, high-value data. As part of the Core Backend team, you'll work on the systems at the center of the business - designing services, data models, pipelines, and evaluation loops. The goal isn't just cleaner data, but an intelligence layer that makes better, faster, and more explainable decisions.

You'll join a high-ownership team responsible for some of the company's most business-critical infrastructure. Your work will make our data more complete, our decisions more transparent, and our products even more valuable.

What you bring
8+ years of software engineering experience

Hustle and grit - excellent at your craft and relentless in pursuing it

Full ownership of your work, driving projects to completion with minimal oversight

Proactive communication - surfacing blockers, asking the right questions, keeping stakeholders in the loop

Comfort with experimentation - testing ideas, measuring results, iterating quickly on problems no one has solved before

Strong fundamentals in system design, debugging, and problem-solving

Python (our main stack), though we're open to strong candidates from other OO backgrounds

Experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments

Comfort with relational databases, ideally PostgreSQL

Bonus: experience with LLMs/generative AI, distributed systems

What you'll get
Competitive salary based on experience level

Significant equity options package

Work with an ambitious, smart, global, and fun team transforming a $7T global industry

20 days of PTO a year

Global team offsites

Healthy living/gym stipend, mobile phone bill stipend

Continuing education credits

Values
Hustle and Determination - we take full ownership of our craft and relentlessly pursue excellence with speed and determination

Deliver Customer Impact - every decision is measured against whether it helps insurers make better decisions

Meritocracy - a high bar, with excellence rewarded by rapid growth

Transparency - honest, direct communication; we challenge ideas, not people

Experiment Relentlessly - test quickly, measure rigorously, iterate until we find the path forward

Green Flags
Experience at FAANG (Google, Meta), top-tier SaaS (Atlassian, Snowflake), or leading Polish product companies (Allegro, Revolut).
Profile matches the calibration anchor: Staff-level at a respected AI/data company (e.g., neptune.ai) with prior FAANG experience.
Background in Production Engineering, SRE, or Platform Engineering at a company known for reliability (e.g., Meta, Google).
Graduate of a top Polish CS program (MIMUW, PW, AGH) combined with experience at a strong product company.
Clear evidence of owning critical systems from 0-to-1 or at significant scale.

Red Flags
Not based in Poland or the EU, or requires visa sponsorship.
No professional, hands-on experience with Python.
Background is primarily in frontend, QA, data analysis, or project/people management.
Cannot articulate personal contributions to projects or discuss system design trade-offs.
Resume shows a pattern of short tenures (<1.5 years) without clear project completion or impact.
Salary expectations significantly above €100k net annually (B2B) without clear Staff+ level experience.