--- title: 'IT Client Engineer at Figure' canonical: 'https://feeny.ai/job/it-client-engineer-figure-san-jose-98vg4x37e2hz' type: 'job' last_seen: '2026-09-05' --- # IT Client Engineer at Figure - **Company:** Figure - **Location:** San Jose, CA - **Posted:** 2026-09-01 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/figureai/jobs/4710288006 ## Job description 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 Client Engineer to own Figure's endpoint fleet everywhere it operates: our San Jose campus, our factories, our contract manufacturing partners, and connectivity-challenged field sites. Figure's most valuable asset is the design and software behind our humanoid, and this role is the technical owner of the controls that keep that IP on the devices, in the environments, and in the hands we intend. You will work closely with our Information Security team to define how devices are issued, hardened, monitored, and recovered; what data is allowed to land on them; and how quickly we can detect and cut off exposure when something goes wrong, whether the device sits on the corporate network or offline on a factory floor. You are also the technical lead for client-side infrastructure company-wide. You will run endpoint management across macOS, Windows 11 Pro, and Ubuntu LTS, own SSO integration and identity lifecycle automation on Okta, and replace manual IT work with code. The ideal candidate is an engineer first and a systems administrator second: someone who responds to a repeated ticket by writing the script that eliminates it, documents the result, and is comfortable owning a security-sensitive program with real business consequences. ## Responsibilities Endpoint Engineering - Own zero-touch enrollment end to end: Apple Business Manager for macOS, Windows Autopilot for Windows, and PXE provisioning for Ubuntu workstations - Translate CIS Benchmarks into deployable configuration profiles across all platforms: deterministically applied settings accompanied with osquery validations to validate posture - Operate FleetDM as the cross-platform management agent across macOS, Windows, and Ubuntu LTS - Maintain standard, reproducible workstation builds with measured and enforced patch compliance - Build hardened device configurations for factories, contract manufacturers, and low-connectivity sites: loaner and clean-device programs, encryption enforcement and escrow, conditional access, and remote wipe and recovery - Deploy and maintain CrowdStrike Falcon coverage across the fleet in partnership with Security, closing gaps on unmanaged or drifted devices - Translate data handling and IP protection requirements from Security, Legal, and Engineering leadership into enforceable technical controls Identity and SSO Engineering - Own SSO integration of applications into Okta (SAML and OIDC), including internal tools with no vendor documentation - Design application authentication and RBAC from first principles, in coordination with Security - Automate the identity lifecycle end to end: provisioning, entitlement, and deprovisioning driven by Okta Workflows and integrated with Google Workspace, Slack, and Jira SaaS Operations and Automation - Build tooling in Python, Bash, or PowerShell to eliminate manual work across onboarding, offboarding, provisioning, reporting, and audit - Run license and access audits, surface inactive accounts and orphaned entitlements, and drive cost recovery with Procurement - Formalize change management for endpoint and SaaS changes and participate in the Change Advisory Board - Document standards, runbooks, and automation so the broader IT team can operate and extend what you build - Act as escalation point for complex client-side issues and mentor Operations Specialists ## Qualifications - Hands-on experience managing macOS, Windows, and Linux (Ubuntu LTS) endpoint fleets in production - Practical experience with zero-touch enrollment and modern endpoint tooling: FleetDM or comparable osquery-based management, Apple Business Manager, Windows Autopilot or Microsoft Intune - Experience turning security benchmarks (CIS or similar) into enforced, validated configuration policy - Strong scripting skills in Python, Bash, and/or PowerShell, with a track record of replacing manual processes with code - Working knowledge of authentication fundamentals: SAML, OIDC, SCIM, and the tradeoffs between them - Experience administering identity and SaaS platforms at scale: Okta, Google Workspace, Slack, Jira, including SCIM and API-driven provisioning - Sound judgment on security and risk tradeoffs, and the ability to explain technical controls to non-technical stakeholders - Detail-oriented and process-driven, particularly in documenting standards and policy - Great communication, collaboration, and interpersonal skills Bonus Qualifications - Experience supporting devices or users at manufacturing sites, contract manufacturers, or other high-IP-risk environments - Familiarity with export control, data residency, or IP protection frameworks in hardware and software R&D - Experience with employee-built AI applications: assess authentication and permissions risk, and redirect requests to a Security consult - Experience deploying or operating EDR agents at fleet scale (CrowdStrike Falcon or similar) - Experience building integrations against SaaS APIs and identity providers - Experience supporting engineering workloads on Linux, including workstation and build-host management - Experience standing up IT capability at new sites, or supporting international growth remotely from a central location ## About Figure ## Company Overview - **One-liner**: Figure is an AI robotics company building the world's first commercially viable autonomous general-purpose humanoid robot. - **Entity Type**: Private (Series C, $1.9B total funding) - **Headquarters**: San Jose, California, USA - **Founded**: 2022 - **Founders**: Brett Adcock ## Core Business - **Primary industry**: AI Robotics / Humanoid Robotics / Machinery Manufacturing - **Target customers**: Enterprise (manufacturing, logistics, warehousing, retail) and, in future iterations, consumer/home markets. - **Mission or purpose statement**: To bring a commercially viable general-purpose humanoid to market, making humans capable of more and addressing labor shortages. ## Products & Services - **Figure 03**: The latest generation humanoid robot, designed for the home and the world at scale. Features a softer look and feel, advanced hand dexterity, and an integrated battery in the torso. It is powered by the company's AI model, Helix. - **Helix / Helix 02**: Figure's in-house AI model for humanoid control. Helix 02 is described as their most powerful model to date, enabling the robot to perform complex tasks autonomously (e.g., using the whole body to do dishes end-to-end). - **F.02 Fleet**: The previous generation robot used in a real-world deployment with BMW, where it contributed to the production of 30,000 cars over 11 months, running 10 hours per day. - **BotQ**: Figure's manufacturing division, responsible for building the robots at scale. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding is $1.9B. - **Key Metric**: Total Funding of $1,854,000,000. - **Notable Investors/Partners**: Parkway Venture Capital (led Series A and Series C), Intel Capital (led Venture Round), Brett Adcock (led Seed Round). Key partner: BMW (11-month deployment). - **Growth Signals**: Headcount grew 128.8% YoY to 442 employees. Active job postings increased 223.5% YoY. The company is actively scaling its manufacturing arm (BotQ) and commercial operations. It operates in 12 countries. ## Competitive Advantages - **First-Mover in Commercial Humanoids**: Figure has a significant head start with a real-world, 11-month deployment at a major automaker (BMW), proving the technology's viability. - **Vertically Integrated AI & Hardware**: Unlike many competitors, Figure builds both the robot hardware and the AI software (Helix) in-house, creating a tightly integrated system. - **Massive Data Advantage**: Through its "Project Go-Big" and partnership with BMW, Figure is building the world's largest humanoid pretraining dataset, a critical moat in AI. - **Aggressive Talent Acquisition**: Has hired top talent from Tesla (60), Apple (34), Boston Dynamics (12), SpaceX (9), and others, concentrating deep expertise. ## Strategic Focus - **Commercial Deployment**: Scaling from pilot programs (BMW) to widespread commercial deployment across logistics, warehousing, and manufacturing. - **Home Market Entry**: The design of Figure 03 signals a clear strategic pivot toward the consumer/home market as the next major growth vector. - **AI Leadership**: Continued investment in the Helix AI model to achieve full autonomy and general-purpose capability. - **Manufacturing Scale**: Building out BotQ to mass-produce humanoid robots. ## Why Work Here - **Mission-Driven & High Impact**: The company is laser-focused on a singular, ambitious mission: "to build the most groundbreaking company on the planet." Work is described as being "in the trenches together." - **Culture of Speed & Fearlessness**: Core values include "Move Fast & Be Technically Fearless" and "Aggressively Optimistic." The environment is described as high-performance, with a "championship mindset." - **On-Site, Collaborative Environment**: Employees work from physical offices in San Jose, CA (HQ) and a secondary location in Sunnyvale. The culture emphasizes in-person collaboration. - **Generous Benefits**: Offers health insurance, generous parental leave, and family/childcare benefits. - **Massive Growth Trajectory**: With 110 open roles, explosive headcount growth, and a clear path to market, employees have significant opportunity for career growth and impact. - **Technical Challenges**: Work spans cutting-edge AI (reinforcement learning, perception, pretraining), hardware engineering (actuators, electrical, mechanical), and manufacturing at scale. ## Sources 1. [figure.ai](https://www.figure.ai/company) 2. [LinkedIn](https://www.linkedin.com/company/figure-ai) 3. [Greenhouse Jobs](http://job-boards.greenhouse.io/figureai) 4. 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