Manager - Data Flywheel Team (f/m/d)

CS Caritas Socialis GmbH; Zürich; Vor Ort; CHF 120.000 - 150.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

CHF 500 mobility credit

Bonus system

Tailored training opportunities

Relocation support

Discounts on health and entertainment

Team events

Zusammenfassung

Hexagon Robotics in Zürich is seeking a Team Lead for Robotics MLOps & Data Engineering. You will drive the data strategy to empower humanoid robots, leading a team responsible for multimodal data collection and governance.

The ideal candidate has extensive experience in data engineering, team leadership, and a strong background in cloud infrastructure, particularly Azure. The role offers flexible hours, a hybrid model, and various employee benefits, including mobility credits and training opportunities.

Qualifikationen

• 3+ years of experience leading technical teams in a fast-paced environment.
• 5+ years of work experience in data engineering or ML systems.
• Proven ability to design large-scale data pipelines.

Aufgaben

• Build and lead a world-class data organization.
• Own the end-to-end data flywheel and governance.
• Define the dataset strategy for scalable training data.

Kenntnisse

Leading technical teams

Data engineering

Cloud infrastructure

Python

Modern data engineering practices

Ausbildung

Master’s or PhD in Computer Science, Machine Learning, or related field

Tools

Azure

ROS2

Jobbeschreibung

Team Lead Robotics MLOps & Data Engineering (f/m/d)

Hexagon Robotics is a division of Hexagon – a global leader in precision measurement. The division develops humanoid robots for industrial sectors to address labor shortages and accelerate the transition from automation to autonomy. Our first humanoid, AEON, was launched in June 2025 and is already in pilots with five customers.

We are looking for a technical leader who can combine strong systems thinking with effective engineering and people management. You will lead our Data Flywheel team—responsible for the collection, curation, quality assurance, and cloud‑scale storage of multimodal data that powers our embodied AI models. Your mission is to design and execute our strategy for building a foundational dataset that enables large‑scale Vision‑Language‑Action (VLA) models for humanoid robots.

Your leadership will directly determine the pace at which AEON becomes more capable, reliable, and autonomous.

Your Mission

Build and lead a world-class data organization, fostering mentorship, growth, technical excellence, and ownership

Own the end-to-end data flywheel—from collection and annotation to quality, governance, and Azure storage—ensuring high-fidelity data flows into training

Define the dataset strategy and roadmap for scalable, diverse training data for large VLA models in close partnership with research

Architect and evolve a robust Azure-based cloud data platform (ingestion, labeling, cataloging, versioning, compliance)

Operationalize the data lifecycle with clear processes, KPIs, and feedback loops across collection, training, and deployment

Partner closely with Product, Research, and Robotics as the central point of contact for data strategy

Your Skillset

• 3+ years of experience leading or managing technical teams in a fast‑paced environment
• 5+ years of work experience in data engineering, ML systems, cloud infrastructure, or similar domains
• An advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Data Engineering, or a related field
• Proven ability to design and scale large‑scale data pipelines, data platforms, or cloud‑based storage systems (Azure experience highly valued)
• Experience building or managing datasets for deep learning‑based systems, ideally including multimodal data
• Direct experience with data flywheel architectures, data collection operations, or high‑throughput cloud data platforms is a major plus
• Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices
• Experience working within robotics ecosystems (ROS2 or similar) is beneficial but not required

What You’ll Get

• Flexible working hours and a hybrid model for real work-life balance
• CHF 500 mobility credit for sustainable commuting
• Bonus system & strong pension contributions
• Tailored training & development opportunities
• Relocation support for a smooth start
• Discounts on health, mobility & entertainment
• Team events and a flat hierarchy where your voice counts
• A warm, international culture built on respect and collaboration