Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. 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. Bonus Qualifications: 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 has never built one. Preferred: mTLS, 802.1X, SSH certificate authorities, and DKIM, DMARC, and SPF in production. Application access design: threat modeling what an application exposes, specifying authentication and authorization for the team building it, and designing the provisioning and revocation behind it. Preferred: securing agentic or LLM-integrated systems, including permission models, credential isolation, and egress control. The US base salary range for this full-time position is $150,000 to $250,000 per year. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Requirements

Must-haves

Endpoints and Access
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.
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

airestpythonci/cdllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision