PUMA Group Logo

PUMA Group

Specialist D&T PLM Operations 3D

Reposted 10 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Mid level
In-Office or Remote
Hiring Remotely in United States
Mid level
Support 3D designers and manage virtual product creation and eCommerce product data. Coordinate and implement PLM/eCommerce projects, gather business requirements, maintain and develop product data applications, provide training and documentation, and produce reports and analyses.
The summary above was generated by AI

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.

Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION
  • Support our 3D designers, make fabulous products and be part of the virtual product creation strategy at PUMA.
  • Coordinating and cooperating in projects in the field of eCommerce and virtual product data management
  • Coordinating and implementing projects/changes under consideration of qualitative and quantitative timescales
  • Gathering of business requirements as well as their coordination in implementing the IT systems
  • Responsible for the maintenance and further development of product data applications serving eCommerce and 3D
  • Providing training and creating user manuals
  • Generating of various reports and analyzes

YOUR TALENT
  • 3+ years experience in 3D tools like Browzwear V-Stitcher, Blender, iCAD 3D+, Gravity Sketch, Clo 3D, Keyshot, Modo, Swatchbook Vntana
  • Able to work effectively with continuous change requirements and short deadlines under minimum supervision.
  • Possess strong analytical and problem-solving skills
  • Self starter and self learner
  • Good communication skills

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.

Similar Jobs

2 Hours Ago
Remote or Hybrid
Senior level
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Develop and oversee high-quality datasets and data pipelines for production machine learning. Collaborate with ML engineers, product teams, TPMs, engineering teams, and annotation teams to define training requirements, translate product goals into data specifications, curate and validate behavioral datasets, and ensure data integrity, accuracy, representativeness, and reliability.
Top Skills: ConfluenceExperiment Tracking FrameworksGitJIRAPythonSlackUnix ShellUser Behavior Data Visualization Tools
9 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
162K-290K Annually
Senior level
162K-290K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.
Top Skills: Ai Coding ToolsCi/CdGoPythonTypescript
9 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
136K-160K Annually
Senior level
136K-160K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.
Top Skills: AirflowAWSAzureDagsterData LakeDatabricksDelta LakeETLGCPGitGitPrefectPysparkPythonRest ApisSparkSparksqlSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account