About Navia Benefit Solutions, Inc.
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Navia Benefit Solutions, Inc.'s Tech Stack
Marketing
CMS
Analytics
Design
Frontend
Mobile
Decision Makers at Navia Benefit Solutions, Inc.
2 contactsSean Nelson
Software Engineering Manager
Tory Hagen
Data Engineering Manager
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Navia Benefit Solutions, Inc.'s Position in the StackWho Database
- • Navia Benefit Solutions, Inc. is 1 of 6,565 human resources companies tracked in StackWho.
- • 6,560 human resources companies in our database have verified decision-maker emails (100% of the cohort).
- • 7,040 companies in Washington are in the StackWho database.
- • 82 human resources companies are in the 201-500 employee range (same size as Navia Benefit Solutions, Inc.).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.
Frequently Asked Questions
What technology does Navia Benefit Solutions, Inc. use?
Navia Benefit Solutions, Inc. uses Cloudflare DNS, Outlook, Pardot, Microsoft Office 365, WP Engine, Atlassian Cloud, and 10 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Navia Benefit Solutions, Inc.?
StackWho has verified email addresses for 2 decision makers at Navia Benefit Solutions, Inc.. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Navia Benefit Solutions, Inc. directly for sales, recruiting, or partnerships.
What industry is Navia Benefit Solutions, Inc. in?
Navia Benefit Solutions, Inc. operates in the human resources industry, headquartered in Renton, Washington, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Navia Benefit Solutions, Inc.'s contact data?
Yes. StackWho Pro members can export decision maker contact data for Navia Benefit Solutions, 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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Decision Makers
Sean Nelson
Software Engineering Manager
Tory Hagen
Data Engineering Manager
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