Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
We are hiring a Senior Manager, Security Operations to build, lead and grow Motive's SOC. This is a founding leadership role — you will shape the team, the tooling, the detection strategy and the operating model rather than inheriting a mature organization and maintaining it. Reporting to the CISO, you will own the full detection and response lifecycle: detection engineering, 24/7 incident response, threat hunting, threat intelligence, security analytics, and endpoint and workload security.
The scope spans Motive's entire estate. Product and production environments cover the cloud infrastructure, services, APIs and data platforms behind Fleet Management, Driver Safety, Spend Management, Workforce Management and AI Vision, plus the connected device fleet. Enterprise and corporate systems cover endpoints, identity and SSO, SaaS applications, network, email and internal tooling. These estates have different telemetry, threat models and response constraints — you cannot contain a production workload the way you isolate a laptop — and a central part of this role is running them as one detection and response capability with one view of the adversary, because real attacks cross the boundary between them.
The mandate is coverage: we want to detect everything that goes wrong. That is a deliberately high bar, and it is an engineering problem rather than a staffing problem. We expect this SOC to be built AI-first and data-driven from day one, designed around automation from the start rather than staffing a traditional tiered analyst model and layering automation on later. Success looks like a small, senior, highly leveraged team whose time goes to hard problems, not queue processing.
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