Armis

HQ
Palo Alto
Total Offices: 2
593 Total Employees
Year Founded: 2015

Jobs at Armis

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Recently posted jobs

5 Hours AgoSaved
In-Office or Remote
3 Locations
Internet of Things • Security
Territory-focused Account Executive for Education in New England responsible for new customer acquisition and account expansion. Develop and execute account strategies, target executive decision-makers (CIO/CISO), negotiate and close enterprise security software deals, collaborate cross-functionally and with partners, track opportunities in Salesforce, and ensure post-sale customer satisfaction and relationship management.
5 Hours AgoSaved
In-Office
4 Locations
Internet of Things • Security
Sell Armis cybersecurity solutions to enterprise customers in a Northeast territory. Identify and close new business (5,000+ users), expand existing accounts, engage executive (CIO/CISO) decision-makers, collaborate with cross-functional teams and partners, manage pipeline in Salesforce, and ensure post-sale customer satisfaction.
5 Hours AgoSaved
In-Office or Remote
6 Locations
Internet of Things • Security
Lead strategy and team for Global System Integrators (GSIs), Cloud Service Providers (CSPs) and technology partners. Act as executive sponsor and escalation point, recruit and manage a sales-oriented partner team, align partners with sales and services, run partner QBRs, build business plans, coordinate enablement and partner marketing, and drive partner performance with executive reporting.
5 Hours AgoSaved
Remote
2 Locations
Internet of Things • Security
Support governance, risk and compliance by collecting and managing audit evidence, document control implementations, update policies, assist vendor risk management, and complete security questionnaires while implementing automation (including AI) to streamline continuous monitoring and evidence collection.
5 Hours AgoSaved
Remote
2 Locations
Internet of Things • Security
Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.