Product Operations Manager

Product Operations Manager
Location: Fully remote (US)
Pay: Competitive Market
Duration: Initial 6-month contract (expected extensions/conversion)
Schedule: Full-time, 40 hrs/week (Mon–Fri)
Target Start: April/May 2026
Benefits: Medical, dental, vision, 401(k), paid vacation & sick leave

Job Overview:

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.

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

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

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

#TM2