Security Engineer, Enterprise Security

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build!

We are looking for a Corporate Security Engineer to join the Security & Privacy team at Figure. Corporate Security owns the environment Figure's people work in: computers, identities, collaboration tools, and the company data flowing through all of it. The design and software behind our humanoid sit inside that environment. We keep access to managed devices, make them hard to compromise, and right-size what each can reach, without getting in the way of the people using them.

We are an engineering team. Controls ship as code, changes are versioned and reviewed, and posture is measured rather than asserted. This is a senior, hands-on individual contributor role. Nobody arrives deep in all of it; we want real depth in one of endpoint engineering, identity and access, or application access design, working knowledge of the rest, and room to build depth here.

Responsibilities

Endpoints and access

Build the endpoint hardening controls across macOS, Windows, Linux, and ChromeOS. Our fleet runs on FleetDM, an osquery-based MDM managed through GitOps: you author the control, you write the query proving it landed, and you ship both in a merge request for review.

Bind data access to a healthy managed device and the person it was issued to: phishing-resistant factors, session lifetimes, and device posture checks.

Bring AI assistants and coding agents under enterprise management: configuration and permissions delivered and verified like any other endpoint control.

Applications and third parties

Design application authentication, RBAC, and access lifecycle from first principles: identify what an application exposes, threat model it, propose control requirements, and guide owners to implement them.

Contribute what each engagement teaches to the team's default deployment playbooks: authentication, logging, and network placement.

Run security review and governance for SaaS and third parties: vendor assessments, OAuth grants, connector integrations, browser extensions, and data movement through the browser.

Visibility and measurement

Build the inventories this work depends on: application discovery, application posture management, grant tracking. Feed vulnerability management and build the controls that close what it finds.

Threat model the corporate attack surface as a repeatable practice and feed the results into what the team works on next. Partner with Detection and Response on telemetry and with IT on rollout.

Use AI where it earns its place: prepping access reviews, first-pass triage, and analysis that gets a human to a decision faster.

Requirements

Software engineering discipline in Python, Bash, PowerShell, or similar: integrations and internal tooling as normal work

Configuration-as-code and CI/CD applied to corporate infrastructure

Threat-modeling judgment that separates the problems worth solving from the ones existing controls already cover, and drives the former to completion

6+ years in corporate or enterprise security engineering

Bachelor's in Computer Science, Engineering, or Information Systems, or equivalent experience

Depth required in at least one of the below, knowledge of the others

Endpoint security on at least two of macOS, Windows, Linux, and ChromeOS: MDM profile engineering, application allowlisting, endpoint security frameworks, and the OS internals behind them. Preferred: fleet-wide osquery telemetry, certificate-based device identity in production, a phased enforcement change shipped with a recovery plan, and devices that live off the corporate network.

Identity and access: IAM, SaaS security, and zero trust from fundamentals rather than vendor docs, and being able to explain a SAML, OIDC, or SCIM integration for a developer who ha …