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Product Manager (AI Ecosystem)

$$$

Job Description

Directs a comprehensive product strategy from product conception and definition through end of life. Functions as a central resource with design, process, manufacturing, quality, test, marketing, and distribution as the product(s) and/or product line(s) move through their lifecycle. Formulates and executes long-term roadmaps for cost/profit control. Promotes use of new technologies and industry-leading trends. Directs those involved in the design, modification, and evaluation of all phases of a specific product or group of products. Involvement lasts throughout all stages of a product’s lifecycle including modifications, upgrades, and maintenance of the product or product line.

Responsibilities

  • Identifies gaps in market based on complex analyses of market, customer, technology, and other ecosystem demands and provides this information to guide design conversations.
  • Leads team collaboration in the creation of business cases and validates cases for development of a new, complex product to ensure they are appropriate given business direction and asks appropriate questions to understand relevance of program to roadmap.
  • Markets new and complex products and technologies through technical marketing opportunities such as conferences, congresses, and direct customer contact and drives product launch efforts.
  • Prepares and delivers highly complex technical presentations regarding a product SW roadmap that explains and demonstrates products managed to customers.
  • Translates customer feedback and external environment into potential changes for the differentiated product roadmap and communicates this to senior leaders.
  • Directs and oversees the development of highly complex products or new products areas and services, independently; maintains communication with individuals across functional teams.
  • Completes product development and definition activities for a new or highly complex, owned product, including determination of cost and impact, and interacts with sales team to generate forecasts.
  • Strong understanding on the challenges and best practices of deploying AI/ML systems at scale
  • Deep knowledge of neural network algorithms, trends in ML space and challenges associated with deployment.
  • Experience training and/or deploying deep learning applications.
  • Background with CUDA or Open VINO or Core/Create ML would be a strong value add
  • Experience in Mobile or Auto or Cloud compute AI design would be a strong plus

Required Competencies

  • Strong understanding on the challenges and best practices of deploying AI/ML systems at scale
  • Strong understanding of AI inference frameworks (TF, TF-Lite etc), AI processing offload to accelerators & associated tradeoffs
  • Understanding of Computer/AI hardware architecture – CPU, GPU, Neural Accelerators
  • Deep knowledge of neural network algorithms, trends in ML space and challenges associated with deployment.
  • Experience in Mobile or Auto or Cloud compute AI design would be a strong plus

Minimum Qualifications

  • Bachelor’s or Master’s degree in Engineering, Information Systems, Computer Science, or related field.
  • 5+ years Product Management or related work experience

24 Seven Talent

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Expiration date:
11-03-2023

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