AI Product Operation Specialist

BCforward is currently seeking a highly motivated Product Operations Manager for a 100% remote opportunity! Position Title: Product Operations Manager Location: 100% Remote Anticipated Start Date: ASAPPlease note this is the target date and it is subject to change. BCforward will send official notice ahead of a confirmed start date. Expected Duration: 6+ months, possible extension based on business needs Job Type: Remote Pay Range: $75.00/hr.- $80.00/hr.Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.). Job Description: • The main function of a non-IT program manager is to plan, direct, or coordinate activities in such fields as engineering, research and development, financial systems and product roll-out, etc or any other non-IT based project. • Reality Labs is building the next generation of wearable AI devices. Our hardware engineering organization manages a portfolio of emerging technologies through a structured innovation lifecycle — taking new ideas from early feasibility through production readiness. • We are looking for a Technology Operations & AI Automation Program Manager to transform our technology innovation operations. This role manages the end-to-end operational processes that track, report on, and govern our technology portfolio — and then systematically automates those processes using AI. This role will work closely with hardware engineering leads, program managers, product managers, business operations, and finance teams to transform a manual, labor-intensive operations function and make it self-sustaining through intelligent automation. You will start by running the operations, then progressively replace manual workflows with AI-driven pipelines until the process largely runs itself. Minimum Qualifications: • 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 Preferred Qualifications 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 Job Day-to-Day 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 Job Responsibilities: • Coordinate projects, making detailed plans to accomplish goals and directing the integration of technical activities. • Present and explain proposals, reports and findings to clients. • Rec