Job Details:

Job Description: 

Who are we? 
Artificial Intelligence Group: Transforming Intel with AI/GAI 
The Artificial Intelligence Group is the leading group at Intel that creates state-of-the-art Generative artificial intelligence (AI and GAI) capabilities. It includes more than 200 Data Scientists, Machine Learning Engineers, and AI Product Managers, most of which are located in Israel. 
We are expert in applied Generative AI taking the newest technologies and making them production ready and in use by tens of thousands of people across Intel. 

We deliver internal AI capabilities to transform the most critical business processes at Intel, from processors R&D, through manufacturing to sales and more.  

Our AI Product Manager 

Our AI Product Manager engage with our internal customers to identify high business value problems that can be solved using AI, they define a creative and high-end solution that our data scientist and machine learning engineers can create, they conduct a deep data analysis using various technologies and tools (e.g. Python, SQL and more), and collaborate with the Data Scientists to identify, create and evaluate the best algorithms to solve the problem, they work diligently with our customers to implement and drive the highest business value possible from our solutions and ensure customer success.  

This Role is for a product manager in a central product team. The team is in charge of Generative AI projects across the group. The role requires proactiveness, teamwork, technical skills and high self learning capabilities. 

Qualifications:

We are seeking an outstanding Product Manager  who will  join an experienced central team in charge of generative AI solutions.  

In  this  role  you  should demonstrate  excellent  product management skills as well as data analysis  skills. The  ideal  candidate  should  have:  

• BSc/ MSc in Information Technology/ Industrial Engineering /Data science or similar  

• At least 2 years of Product Management experience, preferably focusing on AI or data-driven products

• Ability to conduct market & competitive research, understand customer needs and identify opportunities

• Passion and creativity with hands on ability to solve business problems with data and AI techniques 

• Excellent communication skills to be able to work with stakeholders like the business teams, engineering and data science teams and partner teams 

• Data Science techniques familiarity through professional or academic experience – Must 

• Python and SQL coding skills through professional or academic experience – Must

• Understanding of UX principles and experience in designing user-centric AI products – a great advantage 

• Generative AI experience through professional or academic experience - a great advantage 

#GrowWithIntel 
#AIhiring 

Job Type:

College Grad

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Petah-Tikva

Additional Locations:

Israel, Haifa

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.