Product Cost Engineer, Capital Equipment — Meta Reality Labs Product Operations

Labs Product Operations Responsibilities: Establish and refine capital cost targets at program and portfolio level to support the organization's financial tenets, cascading them to line, station, and equipment level, and drive Process, Tooling, Test, and Sourcing teams to meet them Build should-cost models for capital equipment and validate supplier quotes — decomposing pricing to confirm quotes are cost-justified before commitment Partner with Sourcing on equipment supplier strategy, Supplier Plan of Record (SPOR), and negotiation strategy, arming the team with should-cost benchmarks, competitive alternatives, multi-program bundling leverage, and payment and milestone terms Own reporting and management of capital expenditure across the AR Glasses portfolio — tooling, fixtures, automation, test and metrology equipment, factory infrastructure — and its flow-through to Total Cost per Unit via depreciation and capex-per-unit Engage Hardware and Manufacturing Engineering at a technical level to drive capital reduction opportunities: station consolidation, cycle time and takt improvement, fixture simplification, test time reduction, and utilization gains Define and drive the intergenerational re-use strategy — assess installed base for carry-forward across generations and programs, quantify manual vs. automation trade-offs, influence design and process commonality to maximize re-use, and track realized re-use against budget Lead cross-functional capital reviews on actual versus target capex, utilization, re-use, and risks and opportunities, and assess the capital implications of design, process, automation, and test changes Support capital approval and governance, partnering with Capex Sourcing and Finance on business cases, depreciation treatment, and redeployment or disposition of idle assets Codify capital cost management best practices into scalable processes and documentation across the organization

Minimum Qualifications: 8+ years of experience in capital cost management, manufacturing/process engineering, tooling, or automation roles in hardware products Experience building capital or capacity models (equipment cost, UPH, cycle time, OEE, utilization, staffing) to support investment decisions Knowledge of Operations and Supply Chain with demonstrated effective communication skills Experience collaborating with stakeholders across engineering, sourcing, and finance functions to align on trade-offs between cost, schedule, and technical requirements Experience applying analytical and problem-solving methods to cost, capital, or supply chain challenges and communicating findings to cross-functional stakeholders Experience with equipment re-use, redeployment, or intergenerational tooling strategy across product generations Familiarity with capital governance, depreciation, payback/NPV analysis, and asset disposition

Preferred Qualifications: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with complex capital equipment - including new line bring-up and ramp Master's degree or MBA in a relevant field (e.g., Engineering, Operations, Business)10+ years of experience in capital cost, manufacturing engineering, or product cost management roles in hardware technology products Background in Manufacturing, Operations or Engineering About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$168,000/year to $234,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.