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Job Details:
Job Description:
Intel's Neuromorphic Computing Lab is at the forefront of transforming brain-inspired architectures into real-world products, powering the next era of physical AI systems. With a global ecosystem of 250+ research partners and a legacy of pioneering the Loihi series of neuromorphic chips, Intel is now focused on commercializing these breakthroughs for broad market impact. As Business Development Lead, you will play a pivotal role in shaping the future of neuromorphic computing by connecting customer needs to product innovation and driving ecosystem growth.
Responsibilities:
- Identify and engage early customers and research partners across industry, academia, and government.
- Develop deep understanding of customer use cases, pain points, and requirements for neuromorphic products.
- Build and maintain a robust ecosystem of early adopters, collaborators, and technology partners.
- Collect, synthesize, and prioritize customer and partner requirements for product development.
- Collaborate with internal teams to translate market needs into actionable product features.
- Lead product marketing initiatives, including messaging, positioning, and go-to-market strategies.
- Conduct market analysis to identify trends, competitive landscape, and differentiation opportunities.
- Represent the company in industry forums, conferences, and customer meetings to promote the technology.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.
Minimum qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Business, or related field.
- 8+ years of experience in business development, product marketing, or ecosystem management in high-tech or AI sectors.
- 4+ years of experience in edge/embedded computing systems, AI hardware/software, or advanced semiconductor technologies.
Preferred qualifications:
- Familiarity with research-driven product development and requirements gathering.
- Prior experience working with academic and government partners.
- Ability to synthesize technical and market information into actionable business strategies
- 2+ years of management experience
- Proven track record of building and managing customer/partner ecosystems for emerging technologies.
- Strong communication, negotiation, and relationship-building skills.
- Experience with market analysis, product positioning, and go-to-market strategy.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, US, Texas, Austin
Business group:
As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.
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
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $158,200.00-264,460.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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. Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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About Intel

Intel
PublicIntel inside.
120,000+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Offers internship opportunities
Interview opportunities available
Cons
Major job cuts and layoffs
Spam emails after rejection
Poor communication practices
Salary Ranges
6 data points
Senior/L5
Senior/L5 · Advanced Field Service Engineering Data Analyst
1 reports
$132,904
total / year
Base
$102,234
Stock
-
Bonus
-
$132,904
$132,904
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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