Product Operations Manager

Tailored Management is seeking a Product Operations Manager to transform their technology innovation operations. This role involves managing operational processes, automating workflows using AI, and collaborating 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