Enterprise Security Engineer

About the role

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

ABOUT THE ROLE

We are looking for someone to lead enterprise security operations within our security team. You will be responsible for ensuring the security of systems and data used by our global workforce. You will work to ensure adequate security controls to manage risk across the organization. Additionally, you will collaborate with engineering, operations and legal teams to ensure compliance with all relevant security requirements.

AT APPLIED INTUITION, YOU WILL:

- Own the administration, policy governance, and day-to-day operation of our endpoint, email, data protection (DLP/DSPM), and SaaS security posture (SSPM) platforms

- Design and evolve enterprise DLP policy across endpoints, email, and collaboration platforms - data classification, encryption, insider risk signals, and privacy-regulation alignment - running policies from monitoring mode through tuned enforcement

- Lead security technology evaluations end to end: define requirements and success criteria, run structured proofs of concept against real traffic, and drive selection and renewal decisions with data

- Define and enforce security baselines and hardening standards across macOS, Linux, and Windows - low-friction controls built in close partnership with the people who use them

- Run vulnerability and patch management for corporate systems: risk-based prioritization, remediation SLAs, and compliance tracking with IT and system owners

- Automate the repetitive: build tooling and integrations that replace manual security work and make safe behavior the default, including applying AI tooling to triage, classification, and reporting where it measurably helps