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Senior Engineering Manager, IT Product Team

Job in Seattle, King County, Washington, 98127, USA
Listing for: Rippling
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 210000 - 320000 USD Yearly USD 210000.00 320000.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking a deeply technical Senior Engineering Manager (M8 level) to lead a high-impact engineering team building a scalable, fully automated IT product and infrastructure ecosystem. This team sits at the critical intersection of core internal enterprise systems, automated workflows, and modern cloud/systems architecture. You will be responsible for transforming legacy, manual operational footprints into high-performance, automated software systems that scale IT management across various enterprise landscapes.

What

We Build

We build the mission‑critical software that simplifies IT for organizations, turning complex, manual processes into simple, one‑click solutions. Our core product domains include:

  • 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

This role is ideal for an engineering leader who enjoys operating close to underlying infrastructure, possesses a high ambiguity tolerance for shifting charters, and acts as a multiplier by leveraging AI‑driven developer workflows to eliminate operational overhead through software.

  • Lead and Mentor: Direct a team of 12 engineers, focusing heavily on up leveling 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. You must be technical enough to command the respect of senior staff and evaluate system‑level trade‑offs.
  • 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…
Position Requirements
10+ Years work experience
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