Job Description

Technical Lead - AI-Powered Team

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Lead the squad building intelligent automation into our Climate ERP

We're a Series A climate tech startup (€6.5M funding, 50+ team) with clients like Maersk, Zalando, and DMG MORI. We're looking for a Technical Lead to guide our new product squad in building AI-enhanced features that help enterprises automate their carbon management.

Location:

Remote-first (Berlin, Munich, Cologne/Bonn, Hamburg, Lisbon, or London based)

Team:

You'll lead up to 5 engineers in a cross-functional squad with a PM

The Role

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You'll be the technical leader for our fourth product squad, focused on integrating intelligent features into our Climate ERP platform. Your squad will work closely with our data science team to bring AI capabilities to production.

Technical Leadership (70%)

Own technical architecture for the integration of AI-powered features (automated data matching, emission predictions, anomaly detection) that are usually built by our Data Science team Build robust integrations with LLM models and AI services (Claude, AWS Bedrock, internal models, Pipedream, etc.) Write production code in

NestJS, React, TypeScript, PostgreSQL, AWS

Design scalable data pipelines that feed our AI models Ensure reliable, performant delivery of AI features to enterprise clients

People Leadership (30%)

Manage and mentor 5 software engineers Collaborate with our data scientists to translate ML models into production features Partner with your squad's PM and Designer to define AI feature roadmap Report directly to our CTO

What We're Looking For

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Must-Haves:

+ 2+ years of technical leadership experience + Strong full-stack experience with

TypeScript, Node.js (NestJS preferred), React

+ Experience integrating AI/ML capabilities into production applications (via APIs, model serving, etc.)
+ Solid understanding of data pipelines and API design
+ Track record of shipping data-intensive features
+ Excellent communication skills in English

Nice-to-Haves:

+ Experience working with data scientists or ML engineers + Familiarity with LLMs and prompt engineering (OpenAI, Anthropic)
+ Background in data processing at scale (batch processing, streaming)
+ Knowledge of Python for data manipulation
+ Experience with AWS ML services (SageMaker, Bedrock)
+ Domain knowledge in sustainability or supply chain

What You'll Build

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Your squad will focus on intelligent features like:

Smart Data Ingestion:

AI-powered parsing and mapping of customer emission data

Automated Insights:

Anomaly detection in carbon reporting and predictive analytics

Intelligent Matching:

Auto-matching activities to emission factors using NLP

Supply Chain Intelligence:

AI-assisted supplier risk assessment and recommendations

Natural Language Interfaces:

LLM-powered features for data exploration and reporting

Why This Role is Exciting

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+

Real Impact:

Your work directly helps companies reduce millions of tons of CO2 +

AI in Production:

Ship AI features to enterprise clients, not just experiments
+

Cross-functional Collaboration:

Work directly with data scientists and climate experts
+

Modern Stack:

Full ownership of your squad's technical decisions
+

Growth Path:

Shape our AI strategy as we scale from 50 to 100+ people

What We Offer

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Competitive salary + equity (VSOP) Home office setup + Annual learning budget 27 vacation days + public holidays Monthly coworking budget Flexible remote work with quarterly team offsites Direct impact on our technical strategy and company direction

Our Tech Challenges

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You'll work on problems like:

Scaling carbon accounting calculations for enterprises processing millions of data points Building real-time collaboration features for supply chain emissions tracking Creating APIs that integrate with enterprise ERPs and data systems Optimizing data pipelines for complex emission factor calculations

Ready to lead a team that's fighting climate change through technology?

Apply with your CV and a brief note on why you're excited about climate tech. We especially encourage applications from underrepresented groups in tech.

How to Apply

We strive to build a diverse, inclusive, and collaborative workplace and follow a fair, objective, and non-discriminatory recruitment process. All applications will be considered for employment regardless of nationality, culture, or any other personal characteristics. If you need any special requirements during the interview process, please do let us know.


We look forward to receiving your application and exploring how you can contribute to our mission to combat climate change.