
Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts,…

Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts,…
Sector: Data security / DSPM (unstructured + structured data)
Product: Semantic Intelligence platform for discovery, classification, monitoring, and remediation
Founded: 2018 (San Jose / San Mateo area)
Funding: $67M total disclosed; $45M Series B announced Oct 2024
Headcount (approx.): 214 employees
Data security governance and Data Security Posture Management (DSPM) for both structured and unstructured data
2018
Data Security Software Products
$45M
Round brought total disclosed funding to more than $67M
$14.5M
Participants included Citi Ventures, Core Ventures Group, Engineering Capital, and Clear Ventures
Seed round with participation from Homebrew, Engineering Capital, and Clear Ventures
“Venture-backed with participation from strategic investors including Top Tier Capital Partners, HarbourVest Partners, Ballistic Ventures, Citi Ventures, Engineering Capital, Clear Ventures, Core Ventures Group, and others”
About Us
Concentric AI is redefining intelligent data security through our cutting-edge Semantic Intelligence™ platform. Powered by context-aware AI, we help organizations discover sensitive data, monitor risks, automate remediation, and ensure compliance — across data at rest, in motion, and within GenAI workflows. Join us in building the future of secure, AI-driven data protection.
About the Role
We are looking for a highly skilled with strong and hands-on experience in . The ideal candidate will play a key role in designing and building scalable automation frameworks, ensuring high product quality across browser extension, web UI, and API layers.
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This role requires someone who can independently architect automation solutions, drive best practices, and contribute to improving overall QA processes.
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