Product Operations Manager

Tailored Management is seeking a Product Operations Manager to transform their technology innovation operations. This role involves managing operational processes and automating them using AI, working closely with various teams to enhance efficiency and effectiveness.

Responsibilities:

• Maintain and Automate Core Operations: Maintain and execute the existing operational process for a portfolio of 15–20 active technology innovation projects, using this hands-on execution to thoroughly document and prepare all existing workflows (including progress tracking, milestone reporting, stakeholder updates, and executive dashboards) for subsequent AI-driven automation
• Design & Build the Automation Core: Architect, develop, and deploy AI-powered automation pipelines to systematically replace manual operational workflows (e.g., data reconciliation, status tracking, and report generation) for the technology innovation portfolio
• Establish a Unified Data Foundation: Consolidate fragmented data sources (spreadsheets, databases, slide decks, chat threads) into a unified, automated data intake and processing that serves as the central source of truth for the organization
• Implement Central Intelligence: Lead the selection and implementation of an AI-augmented database platform that serves as the central intelligence layer for the technology portfolio
• Drive process adoption: Champion adoption of new automated processes across cross-functional hardware engineering teams, ensuring that new workflows are used effectively
• Deliver AI-generated insights: Provide leadership with regular, AI-generated insights on portfolio health, engineering investment efficiency, technology success rates, and resource forecasting

Requirements:

• 5+ years of experience in product or technology operations, engineering operations, or program management in a hardware or technology development environment
• Demonstrated experience building operational automation using AI/LLM tools (e.g., building AI agents, writing prompts and skills for LLM-based workflows, or deploying AI-assisted data pipelines)
• Experience designing data flows from intake to output — forms, databases, dashboards, and automated reports
• Track record of driving process adoption across engineering or cross-functional teams
• Strong communication skills — ability to translate operational data into actionable insights for both engineering teams and senior leadership
• Self-directed work style with comfort owning an entire operational domain independently
• Experience with stage-gate or milestone-based technology development processes (e.g., NPI, technology readiness levels, innovation pipelines)
• Familiarity with Meta's internal tools and workflows
• Experience with portfolio management, budget forecasting, or program operations at scale in a hardware R&D organization
• Hands-on experience with AI application platforms, no-code/low-code database tools (e.g., AppSheet, Airtable), or AI-native development environments
• Background in wearable devices, AR/VR, consumer electronics, or related hardware domains