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Machine Learning Product Marketing Specialist

Intel


Location:
San Jose, CA
Date:
04/06/2018
2018-04-062018-05-05
Job Code:
JR0052632
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Job Details

Machine Learning Product Marketing Specialist Careers at Intel in San Jose, CA
   
Job ID: JR0052632
Job Category: Marketing
Primary Location: San Jose, CA US
Other Locations:
Job Type: Experienced Hire

Machine Learning Product Marketing Specialist

Job Description

Do you have a passion for machine learning? Do you love working with customers and collaborating with internal teams? Do you want to join a high visibility and fast-growing business unit at Intel? As a business unit within Intel, we will continue to apply Moore’s Law to drive the future of field-programmable gate array (FPGA) technology.  The Programmable Solutions Group (PSG) has been delivering industry-leading custom logic solutions to customers since inventing the world's first reprogrammable logic device in 1984.  In order to advance PSG’s software leadership and promote FPGA as the Accelerator of Choice, PSG is looking for a Product Marketing Specialist to join our High Level Design Solutions team.

As a Machine Learning Product Marketing Specialist in the High Level Design Solutions team, you will contribute to the exciting field of Machine Learning for PSG.  You will plan and manage innovative new products for machine learning applications.  As a product line manager, you will engage in the day-to-day planning, tracking, delivery and marketing of these products by working with engineering teams and other corporate marketing leaders.

Your responsibilities will include, but not limited to:

  • Product line management for Intel PSG's Machine Learning products
  • Carry out customer visits and develop customer engagements to drive product planning
  • Deliver marketing requirements documents and engage engineering to deliver Intel quality products
  • Plan and deliver sales enablement collateral and presentations
  • Lead outbound marketing campaigns in partnership with corporate marketing
  • Influence and align requirements for Intel’s broad software portfolio to support PSG's Machine Learning products


Qualifications

  • Bachelor’s degree
  • 7+ years of experience in a semiconductor or high-tech industry or software development company or related
  • 5+ years in a Product Planning and/or Product Marketing (or related function)

Preferred (Additional) Qualifications

  • Knowledge and networking in the AI, or Machine Learning industry
  • Product Planning or Product Marketing related role in software
  • 5+ years in software or hardware product development
  • Experience with CPU or GPU applications
  • BSEE, BSCS, BSCE, or related degree and/or advanced degree in a STEM related field) and/or MBA

Inside this Business Group

The Programmable Solutions Group (PSG) was formed from the acquisition of Altera. As part of Intel, PSG will create market-leading programmable logic devices that deliver a wider range of capabilities than customers experience today. Combining Altera's industry-leading FPGA technology and customer support with Intel's world-class semiconductor manufacturing capabilities will enable customers to create the next generation of electronic systems with unmatched performance and power efficiency. PSG takes pride in creating an energetic and dynamic work environment that is driven by ingenuity and innovation. We believe the growth and success of our group is directly linked to the growth and satisfaction of our employees. That is why PSG is committed to a work environment that is flexible and collaborative, and allows our employees to reach their full potential.


Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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