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Lead - Sample Maker

On is hiring a Lead - Sample Maker in Zurich, Switzerland. Level rates it ; you can apply on On.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a lead role.
  • On has 180 other open roles on Level.

AI in this role

In Short

We are looking for a motivated and detail-oriented Sample Maker with a passion for athletic and ready to wear apparel. In this role, you will be responsible for creating high-quality prototypes, muslins and mockups in partnership with pattern engineers, product development and designers to bring product concepts to life. The ideal candidate has a strong foundation in fabric handling (both cutting and sewing), garment construction and sewing techniques. This person should be self driven and eager to continuously grow their skills in apparel development.

To apply for this position, please include a link to your portfolio on your CV, or a PDF version of the portfolio to replace the CV. 

 

Your Mission

  • Construct prototypes based on technical specifications, patterns, and alternative construction methods in collaboration with cross functional teams.
  • Determine optimal fabrics, trims, and sewing techniques for high-performance apparel.
  • Proactively identify and resolve construction challenges.
  • Support prototype-to-production transitions at a premium level.
  • Ensure samples meet strict quality standards for stitching, durability, and finish.
  • Maintain an organized workspace and efficient workflow.
  • Stay current on both athletic and ready to wear industry trends and advanced sewing techniques, specific to appearance and function.

 

Your Story

Experience:

  • 8+ years of experience as a Sample Maker, Sample Sewer, or in a similar role within apparel manufacturing, including employment experience in a factory, sample room, or tailoring shop.
  • Demonstrated technical proficiency in handling and sewing complex fabrications, spanning both stretch and non-stretch textiles.
  • Advanced experience with sewing athletics and ready to wear garments.
  • Understanding of garment construction and pattern interpretation.

Technical Skills:

  • Proficiency in using industrial sewing machines (single-needle, overlock, coverstitch, etc.).
  • Ability to read and follow patterns, spec sheets, and technical sketches.
  • Experience working with all fabrications
  • Strong attention to detail and a commitment to quality craftsmanship.

Preferred Qualifications:

  • Experience with digital pattern-making software (e.g., Gerber, Lectra) is a plus.
  • Basic knowledge of garment dyeing, washing, or textile printing techniques (DTF, DTG).

 

About the Team

We are focused, solutions-oriented, and able to take action upon imminent challenges. We establish and follow processes, but are also continuously confronting the status quo and the industry standard. We are engineers that steer pinnacle sportswear design ideas into functional reality. We are able to convert innovative concepts and prototypes into commercialised products with stringent quality and engineering standards, bringing them into the hands of our discerning, global customer base.

 

Product creation is a mindset, and every team member is empowered to make decisions with the understanding that failure is part of the learning and growth process. As an integrated function in the design and development organisation; we are detail-minded problem solvers; guiding and executing apparel technical development within tight timelines and the highest possible product quality, both on the shelf and in use.

How we rate this

Lead - Sample Maker at On rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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