Head of AI (fully remote)

Location: Remote / Hybrid (if preferred), HQ in Vienna, Austria

Type: Full-time

About Simple

At Simple, we help companies make sustainability measurable and actionable. Our SaaS platform applies AI to vast amounts of unstructured data to calculate carbon emissions with unmatched accuracy.

We give businesses deep insight into their supply chains so they can measure, manage, and reduce their environmental impact.

The Opportunity

We are seeking a Head of AI to lead the design, development, and evolution of our AI systems. This is a senior, hands-on role for an experienced machine learning leader who has lived through multiple waves of AI innovation — from classical ML and NLP to today’s LLM-powered agentic workflows.

You will set the technical direction for our AI strategy, personally prototype and ship models into production, and eventually guide a growing team. Your work will sit at the core of our platform, driving how companies worldwide understand and act on their emissions data.

Responsibilities

Build and deploy advanced AI pipelines
Define and own our AI strategy and roadmap
Ensure accuracy, verification, and explainability of results
Continuously identify opportunities to automate human tasks with AI
Lead, mentor, and grow a high-performing AI team

What We’re Looking For

7+ years of NLP-focused AI experience (not just LLMs!)
Hands-on experience building scalable, maintainable LLM-powered applications
Ability to develop AI pipelines from end to end: prototyping => evals => productionisation
Startup experience strongly preferred
Pragmatic, impact-driven mindset: you always pick the right tool for the job
Educational background in math, physics, computer science, or similar rigorous fields

Skills and Technologies

Python and a modern data munging, ML and NLP stack (spaCy, scikit-learn, pandas, polars, Hugging Face transformers)
Machine learning: supervised & unsupervised learning techniques (linear regression, SVMs, tree-based methods, clustering), some experience with PyTorch
LLMs: Deep understanding of the state of the art – context engineering should be your bread and butter. Building RAG pipelines, embeddings, vector databases, keyword search. Techniques for output validation, uncertainty quantification and detecting mistakes. Building evaluation frameworks.
Ability to write idiomatic, well-structured Python code
Experience with GCP/AWS/Azure
Nice to have: Experience developing web or mobile apps (even as a hobby)
Nice to have: A statically typed, compiled language – especially a JVM language like Scala or Kotlin (or Java!)
Nice to have: Experience building high-performance AI teams from scratch

Salary & Benefits

Competitive salary
Stock options
Fully remote, flexible hours

Why Join Us?

Impact at scale : Help global companies measure and reduce their carbon footprint
Cutting-edge AI : Work with advanced ML/LLM techniques and agentic workflows
Entrepreneurial team : Small, ambitious, global and fast-moving, with strong engineering support
Mission-driven : Join a company tackling climate change with technology