About Nissan North America, Inc
manufacture, sale, financial services, automotive, motor vehicle manufacturing
Nissan North America, Inc's Tech Stack
Sales Outreach Angle
AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.
Nissan North America, Inc's Position in the StackWho Database
- • Nissan North America, Inc is 1 of 4,192 automotive companies tracked in StackWho.
- • 4,157 automotive companies in our database have verified decision-maker emails (99% of the cohort).
- • 53 companies in Kanagawa Prefecture are in the StackWho database.
- • 149 automotive companies are in the 10001+ employee range (same size as Nissan North America, Inc).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does Nissan North America, Inc use?
Nissan North America, Inc uses Akamai, Akamai DNS, Amazon AWS, Workday, Remote, Basis, and 2 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Nissan North America, Inc?
StackWho has verified email addresses for 43 decision makers at Nissan North America, Inc. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Nissan North America, Inc directly for sales, recruiting, or partnerships.
What industry is Nissan North America, Inc in?
Nissan North America, Inc operates in the automotive industry, headquartered in Yokohama, Kanagawa Prefecture, Japan. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Nissan North America, Inc's contact data?
Yes. StackWho Pro members can export decision maker contact data for Nissan North America, Inc and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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Kaio Barbanti
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Timothy Lisle
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Nagireddy Kudithini
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Mike Bristol
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