Full Stack Product Engineer

About Artio

Artio is a pioneer in early‑stage carbon insurance, enabling investment in high‑quality projects through data‑driven risk models. As the only insurer providing coverage before project activity begins, we de‑risk investments to help buyers secure carbon credits at scale and accelerate the transition to net zero. In under two years, we have evolved into a market‑leading MGA and Lloyd’s coverholder. Backed by capacity from Tokio Marine HCC, Markel, Apollo and Oak we are already delivering solutions for global institutions (banks, funds, corporates). We are redefining the industry by building an AI‑native ecosystem, integrating everything from modelling to pricing in‑house to deliver a faster, smarter insurance experience.

About the Role

As our Senior Full Stack Engineer, you will own the technical architecture and platform that powers our proprietary risk models. You aren't just building features; you are shaping the digital backbone of early‑stage carbon insurance. You will manage our platform and ship products independently, while bridging the gap between core software engineering, data engineering, and data science. You will collaborate directly with the founding team and our data scientists to scale our data pipelines and deploy AI‑driven insights that the carbon market has never seen before.

What you'll be doing

• You’ll manage our application ecosystem end‑to‑end, shipping high‑impact, customer‑facing features independently from concept to production.
• You love data infrastructure. You will architect and scale our data engineering pipelines, specifically handling high‑resolution geospatial and climate datasets.
• You’ll partner closely with our data scientists to integrate machine learning models and LLM workflows, helping to automate underwriting insights and power our real‑time risk dashboard.
• You’ll make critical architectural decisions to ensure our internal LCA, financial, and climate forecasting tools run seamlessly.
• You will help automate the workflows that trigger our risk model function the moment a client requests an insurance quote.
• Be responsible for making our platform and workflows secure and bulletproof.

What you bring to the table

• You have at least 5 years of professional full‑stack engineering experience.
• You’ve done this before and thrive when taking systems from 0 to 1.
• You are incredibly comfortable working across the entire stack. I.e Proficient in building robust and secure backends, managing databases, managing infrastructure in the cloud (GCP), and delivering clean, intuitive frontend UX.
• You have hands‑on experience with data engineering, particularly building pipelines for geospatial data, GIS, or large‑scale raw data ingestion.
• You understand how to work alongside data science workflows, helping transition Python‑based models or LLM integrations into production‑ready software.
• We need someone with a high degree of autonomy who can take technical ownership of projects end‑to‑end without needing a committee to make decisions.

Nice to haves

• You’ve survived (and enjoyed) the chaos of an early‑stage startup.
• An interest in or exposure to carbon markets, climate tech, or complex fintech/insurtech platforms.

Even if you don’t meet all the above requirements, please apply. We are eager to meet talented and passionate people in carbon markets who have an interest in insurance!

The Package

• Compensation of £75k‑£90k (Depending on your experience level).
• We offer a meaningful equity package (Employee Stock Options) so that as we succeed, you do too.
• As we scale, your impact scales with us.
• You’ll have a direct hand in shaping our engineering culture and platform direction, with no ceiling on your growth.
• We work hybrid. We trust you to work where you’re productive, but we like to work together in London at least once a week.
• We offer unlimited annual leave. We focus on output, not hours tracked. We trust you to manage your own time and rest when you need it.

How we hire

We try to keep this efficient and respectful of your time.

• A casual conversation with one of the founders to see if our vibes match.
• A practical task focused on building features so we can see how you think.
• A final interview with the founding team to dive deeper.