Ai Product Owner - Zug, Schweiz - EcoDigital AG

EcoDigital AG
EcoDigital AG
Geprüftes Unternehmen
Zug, Schweiz

vor 1 Woche

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter


Beschreibung

Key Responsibilities:


Technical:


  • Formulate technical requirements and specifications, encompassing system architecture, computational capabilities, and software/hardware integration.
  • Collaborate with data scientists, architects, and engineers for feasibility assessments and technical planning.
  • Stay updated on emerging technologies in AI and highperformance computing to incorporate into product development.
  • Oversee comprehensive technical documentation, such as system architecture diagrams and API specifications.

Strategic:


  • Develop and manage a multiyear product roadmap, aligning with market requirements, technological advances, and company objectives.
  • Analyze competitors and market trends to guide feature development and product positioning.
  • Liaise with business development to explore partnerships or acquisitions that could elevate platform capabilities.

Operational:


  • Assign priorities to features and tasks in the product backlog, considering technical challenges, resource needs, and business impact.
  • Lead sprint planning, ensuring tasks are welldefined, scoped, and resourced.
  • Conduct regular risk assessments and contingency planning to maintain project agility and sustainability.

Communication and Leadership:


  • Serve as the primary point of contact for productrelated communications, clearly articulating status, challenges, and decisions to both technical and nontechnical stakeholders.
  • Facilitate crossfunctional meetings, including technical reviews and sprint retrospectives.
  • Mentor and guide junior team members on the project.
  • MBA or equivalent and a Bachelor's degree in Marketing or Engineering.
  • Fluent in both Hebrew and English.
  • Minimum of 7 years in product management roles, with at least 3 years of practical work experience as engineer.
  • Extensive familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and highperformance computing environments (e.g., CUDA, OpenMP).
  • Proficiency in Agile and Scrum methodologies.
  • Availability for frequent business travel.

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