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Hyperexponential

Associate Delivery Engineer (Poland)

Warsaw (hybrid)Hybrid · Poland
Junior · FullTime · Revenue
POSTED 12 NOVVERIFIED JUST NOW
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0 days opentrue age
Closes in ~22d at the median (22d)
Posted 12 Nov · n=10
Pay
$63k–$114kno pay posted
Market p25–p75
$63k–$114k
Poland · n=10 · 365d to 11 Nov
CompanyHyperexponential →
40open roles
Opened · 30d
+6
Closed · 30d
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2,025open · Junior Software engineering
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All software engineering
75,509open
All tracked boards · live 12 Nov · n=2,025
Visa
1H-1B LCAs · FY26
UK licensed sponsor
✓Worker (A rating)
LCAs FY26 · n=1 · to 2026-06-25
Python

About hyperexponential (hx)

At hyperexponential, we're building the agentic platform for end-to-end underwriting, helping insurers make the most critical decisions in a $7 trillion industry: which risks to take, and how to price them. These decisions shape real-world outcomes, from whether rockets launch into space and autonomous vehicles reach the market, to how communities recover after major storms.

Until now, insurers have been making billion-dollar decisions with outdated tools. We're changing that. Our platform brings together data, AI and human expertise to give insurers the fastest path from submission to decision, so they can move faster, act smarter and take on more risk with confidence.

Founded in 2017 by two former actuaries and backed by a16z, Highland Europe and Battery Ventures, we're scaling globally. We're already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. In October we announced that hx has agreed to join Guidewire, one of the world's leading insurance technology companies, which gives what we're building an even bigger stage.

What began as pricing and model development is now an agentic platform for end-to-end underwriting. It takes insurers from submission and triage through to the underwriting decision, with AI working across the whole workflow and underwriters in control. Our newest product, hyperoperator, is a unified agent for underwriting work.

What makes hx different is the people who build it. Here, impact isn't tied to title or tenure. It's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company built to last.

About the Delivery Engineering team

Our Delivery Engineering team is a blend of engineers, actuaries, mathematicians and data scientists. We don't take on traditional transformation projects (we have brilliant partners for that). We specialise in the most difficult and interesting problems our customers face, where only a mix of technical depth, market expertise and hx platform knowledge will do.

Delivery Engineers are the experts' experts of the hx platform. You'll learn it top to bottom, including its limits, which of them can be pushed, and every trick and shortcut along the way. You'll combine that with a growing knowledge of insurance technology to show customers the art of the possible, while working alongside some of the brightest, most ambitious people in tech and insurance.

As an Associate, you'll learn from Senior Delivery Engineers, including former actuaries who act as mentors and coaches, and you'll get a structured onboarding to build your platform and insurance knowledge from day one.

What you'll be doing

Learning the hx modelling platform with support from senior colleagues, and shipping your first models within days.

Building and maintaining models in Python, applying modern approaches so they integrate seamlessly.

Working with customer actuarial and underwriting teams, partner developers and colleagues to solve complex coding problems.

Reviewing and testing models as part of our day-to-day quality assurance.

Using AI tools such as Claude to work faster, while making sure you can explain every line you ship.

Helping improve our training materials, our model development standards and the way we work.

What you'll need

This role is open to graduates, and we're happy to hire straight from university.

Strong Python fundamentals, shown through a degree in a technical subject (maths, statistics, computer science, engineering, data science or similar), internships or personal projects. Clear, tested code and being able to explain your choices matter more than years of experience.

Experience of predictive modelling or analytics methods, through study or work. Exposure to insurance or actuarial work is a bonus but not essential, and we'll help you build the domain knowledge.

A self-starter attitude: you work autonomously, ask for help early and take charge of your own development.

Source · HyperexponentialFirst seen 12 NovOriginal ↗