Lead a team of 12 engineers building automated IT infrastructure and enterprise systems for device, identity, asset, and security management. Drive technical architecture, AI-native workflows, and modernization of legacy IT operations.
207k – 345k/yr
Hybrid7+ YOEEngineering Management
About the role
What We Build
Device Management (MDM): Developing systems to securely enroll, configure, manage, and inventory corporate devices (macOS, Windows, iOS, etc.), including policy enforcement and remote wipe capabilities.
App Management & Identity: Creating the centralized platform for provisioning and de-provisioning employee access to hundreds of third-party SaaS applications, ensuring instant security and compliance through integrated identity and access management (IAM).
Inventory & Asset Management: Building the core financial and logistical systems to track physical assets, manage software licenses, and automate IT procurement from device ordering to deployment.
Security & Compliance: Developing the mechanisms for setting, managing, and enforcing security policies across all devices and applications, ensuring employee and corporate data remain protected.
What You Will Do
Lead and Mentor: Direct a team of 12 engineers, focusing heavily on upleveling execution velocity and technical excellence through the deployment of modern AI workflows.
Own IT Automation Infrastructure: Drive the end-to-end automation infrastructure, internal product interfaces, and systems architecture required to resolve core enterprise IT platform dependencies.
Modernize Operational Systems Plumbing: Restructure underlying internal engines to automate manual workflows and multi-system communications, building a unified software control plane for the business.
Stay Deeply Technical: Participate directly in evaluating system-level trade-offs, architecture decisions, distributed systems design, and core systems plumbing alongside your senior staff.
Partner Cross-Functionally: Collaborate closely with cross-org technology leadership teams (such as Inventory Management, Identity, Devices, and Product) to build integrated, proactive internal product landscapes.
What You Will Need
Robust Engineering Leadership: Proven track record leading senior engineering talent within startups or fast-paced, high-leverage environments where driving extreme execution efficiency without ballooning headcount is a core tenet.
Deep Backend & Infrastructure Foundation: Non-negotiable technical depth in backend systems engineering, distributed architecture, and process automation plumbing.
AI-Native Execution Mindset: Active experience utilizing modern developer workflows, automated tooling, and generative technologies to radically maximize team execution velocity and platform automation.
Exceptional Ambiguity Tolerance: The ability to independently carve out net-new automated architectures from legacy, manual workflows amidst shifting product and business charters.
Data-Driven Problem Solving: Strong reliance on validation metrics gathered directly via fleet observability, system performance data, and proactive monitoring infrastructure.
Strong Executive Communication: The capability to clearly translate heavy engineering complexities into crisp, actionable business narratives for cross-functional partners and executive leadership.
Domain Familiarity (Nice to Have): Strong background operating within core Enterprise IT domains such as Device Management (MDM), Identity and Access Management (IAM), IT Asset/Inventory Management, or Security and Compliance systems.
Skills
Backend Systems EngineeringDistributed SystemsProcess AutomationSystem ArchitectureAi Developer WorkflowsGenerative Ai ToolingFleet ObservabilitySystem Performance MonitoringMDMIAM
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