Scanner

HQ
San Francisco
13 Total Employees
Year Founded: 2022

Jobs at Scanner

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Recently posted jobs

4 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Software
Own Scanner’s talent strategy, recruiting, People Operations, culture, employee experience, and organizational planning during rapid growth. Lead critical technical, executive, and GTM searches while building scalable recruiting infrastructure, HRIS, payroll, benefits, compensation, performance, onboarding, and manager-development systems. Partner closely with founders and leaders on workforce planning, organizational design, employee relations, and culture, remaining highly hands-on and data-driven.
One Month AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Software
The Product Designer will create intuitive and beautiful product experiences, collaborating with various teams to design feature workflows and UI systems.
One Month AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Software
Build and lead Scanner’s enterprise sales organization from the ground up. Responsibilities include hiring and coaching account executives, creating sales strategy and playbooks, managing forecasting, pipeline, territories, quotas, compensation, and CRM discipline, while personally closing strategic cybersecurity deals. Partner with founders, Marketing, Sales Engineering, Product, and Engineering on GTM strategy, technical evaluations, pricing, positioning, and customer growth.
One Month AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Software
The Full Stack Engineer role involves developing high-quality tools focusing on UX and performance, working with databases and distributed systems, and utilizing a diverse tech stack.
One Month AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Software
Lead product marketing end-to-end for a security data lake: own positioning, messaging, content, launches, events, sales enablement, and competitive research to drive pipeline and revenue.