Product Operations
Anduril
- Location
- Costa Mesa, California, United States
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- $146k/yr
- Posted
- 1h ago
Skills
About this role
New Product Operations Costa Mesa, California, United States Apply Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Product Operations team owns the end-to-end processes and systems that power enterprise solutions at Anduril. We work across engineering, business systems, and operations to build the operational infrastructure that makes implementations successful—from how we scope and deliver changes to how we ensure the business is ready to adopt and sustain them. As our portfolio of enterprise initiatives grows, we need someone who can systematize how we enable the business through change and, over time, help us scale how we run implementations end to end. ABOUT THE JOB In Product Operations, you'll start by owning enablement operations—building the systems, frameworks, and tooling infrastructure that make change enablement repeatable, efficient, and embedded throughout the implementation lifecycle. As you mature that foundation, you'll expand into the broader implementation processes—helping define how we scope, deliver, and operationalize enterprise systems and process changes across the organization:
You'll work alongside the enablement team to design and build the enablement operating model—the playbooks, templates, readiness frameworks, shift-left change impact assessment standards, and workflow integrations that allow enablement to run consistently across any initiative. You'll make sure change scoping happens early in the implementation lifecycle, not after decisions are locked. You'll build the end-to-end enablement infrastructure by connecting the platforms we already have—feature tracking, LMS, comms tools—into a cohesive system where change impacts flow into communications plans, training is triggered by implementation milestones, and adoption data feeds back into project decisions. This includes standing up a centralized knowledge hub, enabling in-tool guidance and just-in-time micro-learning, and establishing regular comms cadences so users always know what to do and where to go. You'll bring an AI-first mindset to operations—identifying where AI and automation can accelerate content creation, personalize training delivery, streamline stakeholder analysis, surface adoption risks earlier, and reduce manual overhead across implementation workflows. You're not just running today's playbook; you're building tomorrow's. You'll design and operationalize a change network of local super users across the business—giving implementation teams embedded advocates who can provide frontline feedback, reinforce adoption, and serve as the bridge between the project and the people it affects. You'll embed with implementation teams and practitioner Enablement Managers to operationalize the frameworks you build—pressure-testing them in real implementations, identifying process gaps across the broader lifecycle, and driving improvements where enablement intersects with delivery. You'll build measurement and feedback infrastructure that gives leadership clear visibility into enablement health—readiness scores, training completion, adoption signals, and time-to-proficiency—alongside listening mechanisms like pulse checks, focus groups, and surveys that feed back into release planning and continuous improvement.