Bolster Inc.
This role involves detecting and eliminating phishing, impersonation, and scam threats at internet scale using Bolster's AI-driven platform. Candidates will monitor malicious web pages, analyze customer reports, and train automated detection engines to protect enterprises from digital risks. The position requires close collaboration with cross-functional teams to ensure rapid response to evolving cyberattacks.
Headquarters
Santa Clara, California, United States
Company Size
51-200 employees
Founded
2017
Bolster.ai develops AI-driven tools that help companies detect and mitigate content, fraud, and brand-safety risks across digital channels. Their platform applies machine learning to analyze user‑generated content, ads, and media in real time, automating moderation, policy enforcement, and risk scoring. Bolster.ai offers integrations and APIs so platforms and enterprises can embed detection and remediation workflows into their apps and ad pipelines. The goal is to reduce manual review load, speed response to violations, and protect brands and users from harmful or noncompliant content.
Bolster Closes $15 Million Financing Round to Help More Global Companies Detect and Remediate Digital Threats in Minutes, Not Months
Oct 18, 2022
Bolster, Inc. Launches Four New Digital Risk Protection Capabilities
Jul 14, 2022
Innovator of the Year Boltster Inc, Nathaniel Armstrong
Sep 4, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Bolster Inc..
Bolster Inc. didn’t post a salary, so this is our estimate from similar listings.
41% below the average for this role
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