11 beste Stellen als machine learning engineer in lindenberg zh – aktuell auf Personalsuche

Lead - Technology Product Manager
On AG —Zürich, ZH
- Erfahrung in der IT
- Führungserfahrung
Senior Software Engineer - Mission Control (m/w/d)
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- C++
- Bachelor
Direkt bewerben
Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing
AWS EMEA SARL (Switzerland Branch) - G96 —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Senior AI Engineer / Consultant
Artifact —Zürich, ZH
- 100%
- Englisch
- Master
- SQL
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Head of FSI ( Financial services industry )
ELCA Informatique SA —Zürich, ZH
- 100%
- Englisch
- Kommunikationsfähigkeit
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Software Architect - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
11 Tage
Senior Projektmanager:in Data & AI 80-100%
Eraneos Switzerland AG —Zürich, ZH
- Management-Erfahrung
- PMP
- Englisch
Senior Data & AI Consultant/Consulting Lead (Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
- Homeoffice-Möglichkeit
Direkt bewerben

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Lead - Technology Product Manager

On AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Erfahrung in der IT
Führungserfahrung

Vollständige Stellenbeschreibung

Locations: Zurich, London

Technology

In short

At On, our supply chain is the backbone of our global operation. We are looking for a visionary Lead Technical Product Manager to spearhead the next evolution of our supply chain by harnessing the power of Artificial Intelligence and data.
In this leadership role, you will be the bridge between our complex operational challenges and cutting-edge data solutions. You will be responsible for identifying high-impact opportunities where data, AI and automation can revolutionize our planning, logistics, and decision-making processes.
Your expertise will be in understanding the business, the data, and the possibilities of AI to define a compelling product vision and guide our AI, data, and engineering teams to build solutions that deliver immense value.
As a Lead, you will also play a key role in mentoring other product managers and shaping the product culture within the team.

Your Mission

Own the Data & AI Product Vision: Develop and champion a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.
Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to deeply understand their processes, data challenges, and automation pain points.
Translate Problems into Solutions: Convert ambiguous business problems into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.
Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that deliver the highest value to the business. Define Success: Establish and monitor key performance indicators (KPIs) to measure the effectiveness and impact of your AI/data products, in partnership with analytics.
Bridge the Gap: Serve as the primary liaison between business leaders, supply chain operators, data scientists, and engineers, ensuring alignment and clear communication across all teams.

Your story

Leadership Experience: Proven experience as a Technical Product Manager, with a demonstrated history of leading significant products or initiatives from concept to launch.
Supply Chain Acumen: Strong experience with supply chain data and a solid understanding of core supply chain principles (e.g., demand forecasting, inventory management, logistics).
AI/Data Fluency: You have a basic familiarity with AI and machine learning concepts and, most importantly, a gift for translating business needs into data-driven solutions. You don't need to be an AI expert, but you must be adept at partnering with engineers and data scientists who are.
Analytical mindset: You are able to creatively identify the right success metrics and analyses that will provide key insight into product functionality. Technical Aptitude: You are comfortable in a technical environment and capable of holding your own in discussions about data models, APIs, and system architecture.
Strategic Problem-Solver: You excel at breaking down large, complex problems into actionable steps and have a strategic mindset to see the bigger picture.
Exceptional Communication: You have an outstanding ability to communicate complex ideas clearly and effectively to both technical and non-technical audiences.

About the Team

The Product Management Technology team is the digital backbone of On's product creation engine. We are a team of strategic product leaders who partner with core business functions—from R&D and Design to Sourcing and Supply Chain—to build the platforms and systems that power On's growth.
Our mission is to create a seamless, intelligent, and efficient digital ecosystem that enables our teams to design and deliver the next generation of revolutionary products. We are internal entrepreneurs, deeply embedded in the business, who identify complex challenges and build elegant, scalable solutions.
As a member of our team, you will have a unique opportunity to drive significant transformation and make a tangible impact on the future of one of the world's most exciting brands.

Zürich

Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail.

Förrlibuckstrasse 190,
8005
Switzerland

Location

London

Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason.

12 Fleur De Lis Street,
E1 6DB
United Kingdom

Location

What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

Step One

It starts with you...

You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

Step Two

Interview with a recruiter

What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

Step Three

Interview with a hiring manager

Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

Step Four

The Case Study

What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

Step Five

The Experience Day

Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

Step Six

The Result

Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Jetzt bewerben

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machine learning engineer Jobs in lindenberg zh

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Weitere Job-Standorte erkunden

Technology

In short

Your Mission

Your story

About the Team

Zürich

London

What we offer

What to expect

Step One

It starts with you...

Step Two

Interview with a recruiter

Step Three

Interview with a hiring manager

Step Four

The Case Study

Step Five

The Experience Day

Step Six

The Result